AI 2.0 Reimagining Indian education system

20 Feb 2026 10:00h - 11:00h

AI 2.0 Reimagining Indian education system

Session at a glance

Summary

This discussion focused on reimagining educational institutions in the age of artificial intelligence, featuring the launch of a report on AI usage in school education by the Center of Policy Research and Governance (CPRG). The report revealed that nearly 50% of private school students in Delhi use AI-based tools multiple times per week, primarily for academic information searching and writing assistance, though students still prefer human interaction over AI tutors for learning.


The panelists, including education leaders and policymakers, emphasized that AI represents a paradigm shift requiring fundamental transformation rather than mere reforms in education. Professor K.K. Aggarwal highlighted the need to ensure AI supplements rather than replaces human creativity, drawing parallels to the earlier IT revolution. Suresh Yadav stressed that AI could help India realize its economic potential by breaking down language barriers and connecting diverse populations, noting that AI adoption happens much faster than previous technologies.


Pankaj Arora, Chairman of the National Council for Teacher Education, emphasized that AI should be treated as an assistant rather than a master, with teachers evolving into mentors and learning designers. The discussion revealed significant challenges including the digital divide between urban and rural areas, infrastructure limitations, and the need for ethical AI usage. Patil from the Ministry of Education noted that while only 4 lakh out of 15 lakh schools have computer facilities, the government is working on integrated approaches to bridge this gap.


Industry representative Aditi Nanda from Intel highlighted successful collaborations in developing AI curricula and local language solutions that don’t require cloud connectivity. The consensus emerged that successful AI integration requires collaboration between government, academia, and industry, with emphasis on maintaining human values while leveraging AI’s transformative potential for India’s educational future.


Keypoints

Major Discussion Points:

AI Adoption in Indian Education: The discussion centered around findings from CPRG’s survey report showing that nearly 50% of private school students in Delhi use AI tools multiple times per week, primarily for academic information searching and writing assistance, though with concerns about accuracy and hallucinations.


Transformational Potential vs. Implementation Challenges: Panelists emphasized AI’s paradigm-shifting potential for education while acknowledging significant challenges including digital divide, infrastructure gaps (only 4 lakh out of 15 lakh schools have ICT labs), and the need for ethical AI usage guidelines.


Reimagining Educational Institutions: The conversation focused on moving from traditional compliance-based governance to AI-enabled leadership, with emphasis on individualized learning, integration of school and higher education systems, and shifting from subject-teaching to student-centered approaches.


India’s Global AI Leadership Aspirations: Multiple speakers highlighted India’s potential to become a global AI hub, referencing the Prime Minister’s vision and comparing India’s digital transformation (like UPI) as a model for AI adoption, while emphasizing the need for Indian language integration and cultural context.


Teacher Evolution and Human-AI Balance: Extensive discussion on teachers transitioning from information deliverers to mentors and facilitators, with consensus that AI should supplement rather than replace human interaction, and the critical importance of maintaining research ethics and creativity.


Overall Purpose:

The discussion aimed to launch CPRG’s report on AI in school education while bringing together policymakers, educators, and industry leaders to explore how educational institutions should adapt and transform in response to AI technology, with a focus on India’s unique challenges and opportunities.


Overall Tone:

The discussion maintained an optimistic and forward-looking tone throughout, characterized by enthusiasm for AI’s transformational potential. While speakers acknowledged significant challenges like digital divide and implementation hurdles, the overall sentiment remained positive and solution-oriented. The tone was collaborative and visionary, with participants building on each other’s ideas about reimagining education for India’s future, particularly around the goal of achieving developed nation status by 2047.


Speakers

Speakers from the provided list:


Dr. Ramanand Nand – Session moderator and representative of CPRG (Center of Policy Research and Governance), involved in policy research and governance issues


Pranav Gupta – Researcher/analyst at CPRG, presented findings from the AI in school education survey report


Professor K. K. Aggarwal – President of South Asian University, former developer of Indraprastha University, expertise in IT and higher education development


Pankaj Arora – Chairperson of National Council of Teacher Education (NCTE), former head and dean at University of Delhi, expertise in curriculum development and teacher education


Suresh Yadav – Executive Director at Commonwealth Secretariat, former advisor to President Mukherjee, expertise in finance, technology innovation, and educational policy


Ananda Vishnu Patil – Assistant Secretary of Higher Education, former work in school education, expertise in educational governance and technology implementation


Aditi Nanda – Director of Education and Industry at Intel, expertise in technology solutions for education sector and industry-academia collaboration


Additional speakers:


None identified – all speakers mentioned in the transcript are included in the provided speakers names list.


Full session report

This comprehensive discussion on reimagining educational institutions in the age of artificial intelligence was held as part of an AI Summit and centered around the launch of a research report by the Center of Policy Research and Governance (CPRG) on AI usage in school education. CPRG, introduced by Dr. Ramanand Nand as a policy think tank, had previously published a report on AI in Higher Education and mentioned an upcoming report on “Future of Jobs.” The session brought together distinguished panellists including Professor K.K. Aggarwal (President, South Asian University), Professor Pankaj Arora (Chairperson, National Council of Teacher Education), Suresh Yadav (Executive Director, Commonwealth Secretariat), Ananda Vishnu Patil (Adjacent Secretary, School Education), and Aditi Nanda (Director, Education and Industry, Intel), creating a multi-stakeholder dialogue on India’s educational transformation.


Research Findings and Current State of AI Adoption

The discussion began with Pranav Gupta presenting key findings from CPRG’s survey-based report on AI adoption in school education, specifically conducted among private school students in Delhi. Gupta acknowledged his research team members including Nitin, Mehta, Ms. Suchitra Tripathi, Gauri, Shreya, Anupriya, Rashi, Mika and Shugal. The research revealed that nearly 50% of private school students in Delhi use AI-based tools multiple times per week, though this usage rate is marginally lower than that found among college students in the same city.


The study found that AI usage is primarily concentrated in searching for academic information while studying and writing assistance. Usage patterns vary across academic streams, with science students showing different patterns of adoption compared to other streams. Students reported relatively high perceived helpfulness of AI for both school examinations and entrance examinations, though those preparing for competitive entrance examinations continue to rely heavily on offline classes and established edtech platforms.


Notably, despite substantial AI adoption rates, students reported overwhelming support for traditional digital learning methods, particularly YouTube and video-based learning tools, over AI platforms for educational content. When asked about AI tutors versus human interaction, there was strong support for traditional human interaction-based learning, with AI consistently viewed as a supplementary tool rather than a replacement for human educators. Students also regularly encountered issues with AI accuracy, including hallucinations and incorrect information.


Infrastructure Challenges and Digital Divide

Ananda Vishnu Patil highlighted significant infrastructure challenges, noting that only 4 lakh schools out of India’s 15 lakh schools currently have computers, while the digital transformation requirements are substantial. To illustrate the pace of technological adoption, he provided striking statistics: the telephone took 75 years to reach 5 crore users, while ChatGPT achieved the same milestone in just 40 days.


The digital divide extends beyond infrastructure to encompass geographical, economic, and institutional disparities. Central schools such as Kendriya Vidyalayas (KVS) and Navodaya Vidyalayas are performing better in technology adoption compared to state schools, while urban institutions have substantial advantages over rural and tribal area schools. This disparity raises critical questions about educational equity and the risk of AI exacerbating existing inequalities.


The scale of transformation required is enormous, encompassing approximately 25 crore children in school education and 4.6 crore students in higher education, supported by around 1 crore teachers, most of whom require training to become AI-literate.


Language Barriers as Fundamental Challenge

Aditi Nanda provided a particularly insightful observation that the core educational challenge in India’s tier 2, tier 3, and rural areas is not students’ inability to understand mathematics or physics, but rather their difficulty with English as the medium of instruction. This reframing identifies language barriers as the primary obstacle to educational achievement.


This insight positions AI’s translation and localization capabilities as potentially transformative. Suresh Yadav emphasized that AI represents the first technology in Indian history capable of dismantling language barriers, allowing seamless communication across regions in local languages. He mentioned the potential for AI-powered voice-to-voice translation running locally on devices without requiring internet connectivity, providing 24/7 tutoring support in students’ native languages.


The discussion included examples of practical applications, such as IIT Madras developing tools that can translate Tamil into 11 Indian languages, and Sarvam’s language model launch, demonstrating progress in making AI accessible in local languages.


Institutional Transformation: Reform Versus Reimagining

Suresh Yadav articulated a central theme, arguing that “this is not the time for doing reforms in the higher education system. It’s like reimagining.” He positioned this transformation within India’s broader economic aspirations, suggesting that with proper educational systems, India could achieve a $70-150 trillion economy based on its population potential and skill capabilities.


Professor K.K. Aggarwal supported this perspective by drawing parallels with the earlier IT transformation he witnessed while developing Indraprastha University. He emphasized that educational institutions must integrate emerging technologies from the outset rather than treating them as add-ons to existing systems, ensuring that AI supplements human creativity rather than providing shortcuts that diminish creative capabilities.


The consensus was that educational institutions must become “live and adaptive” to AI realities or risk becoming fossilized, requiring a move from compliance-based governance to innovation-driven leadership.


Teacher Evolution and Professional Development

Pankaj Arora outlined how teachers must evolve from information deliverers to mentors, learning designers, and ethical guides who facilitate inquiry-based learning. This transformation is supported by new initiatives such as the National Professional Standards for Teachers (NPST) and the National Mentoring Mission (NMM), both designed on digital platforms with AI assistance.


The challenge of preparing India’s teaching workforce for AI integration is substantial. The National Council for Teacher Education is addressing this through systematic professional development programs, while industry partnerships are emerging as crucial components. Intel’s collaboration with educational institutions demonstrates how private sector expertise can support curriculum development and teacher training, with demonstrations available at their AI Summit booth.


Curriculum Integration and Assessment Evolution

Significant developments in curriculum integration are underway, with CBSE introducing AI curriculum and various states including Andhra Pradesh, Assam, and Tamil Nadu implementing AI in education. School education is introducing AI curricula from grade 3 onwards, focusing on AI awareness and ethical usage rather than technical programming skills.


Pankaj Arora emphasized moving from “product-only evaluation to process-rich evidence of learning,” suggesting that AI enables more sophisticated assessment methods that track learning processes rather than just final outcomes. This represents a fundamental shift in educational assessment philosophy.


In higher education, institutions are establishing AI centers of excellence, with IIT Madras hosting an AI Centre of Excellence in education, bringing together schools, higher education institutions, and private sector partners to coordinate AI integration efforts.


Ethical Considerations and Human-AI Balance

Throughout the discussion, speakers consistently emphasized ethical AI usage and maintaining appropriate human-AI balance. Professor K.K. Aggarwal warned about AI potentially reducing creativity if used as a shortcut rather than a supplement, sharing an example from another educator about a student who created an AI-powered defect detection system for textile manufacturing, demonstrating positive AI application.


Pankaj Arora stressed that “AI can assist. AI cannot be a master,” highlighting the need for human supervision and ethical guidance. He referenced Prime Minister Modi’s vision of “two AIs” – Aspired India and Artificial Intelligence – working together towards national development goals.


Practical Applications and Success Stories

The discussion included several concrete examples of successful AI implementation. Professor K.K. Aggarwal shared the story of a girl from Gujarat Technical University who worked on defect detection in textile manufacturing. There was mention of a startup in IIT Delhi working in medical/paramedical education with 200 crore turnover, and Siksha Lokam’s work in Bihar with local language AI applications.


Ananda Vishnu Patil described initiatives where universities reach out to 100 schools each, creating regular interaction and collaboration opportunities. He also mentioned Vidyalaya Mishra Kendras for tracking dropouts, demonstrating systematic approaches to educational challenges.


India’s Global AI Leadership Aspirations

The discussion positioned India’s educational AI integration within broader national aspirations for global AI leadership. Speakers referenced India’s demographic advantages, including a young population and one of the world’s largest higher education systems with approximately 44 million students. The rapid adoption rates – with around 10 crore Indians using ChatGPT and Gemini – suggest strong foundational acceptance of AI technologies.


However, achieving global leadership requires addressing substantial infrastructure and equity challenges. The success of India’s digital transformation, particularly the UPI payment system, provides a model for systematic, well-coordinated technology adoption.


Integration Across Educational Levels and International Collaboration

A significant theme was the need for better integration between school education, higher education, and industry. Currently, these systems operate largely in silos, limiting their collective impact. The discussion mentioned Spain universities meetings and international collaborations, indicating efforts to learn from global best practices.


Suresh Yadav noted that COVID-19 had accelerated educational transformation, creating opportunities for reimagining educational delivery methods. The integration challenge encompasses seamless progression from school-level AI awareness to higher education specialization and eventual industry application.


Future Vision and Implementation Strategies

The panellists outlined strategies including problem-based learning approaches where students can earn degrees by solving real-world challenges rather than completing traditional coursework requirements. The vision encompasses moving from mass standardization to individualized education, using AI to accommodate different learning styles, paces, and interests.


Professor K.K. Aggarwal advocated for allowing students to assert their educational needs and preferences, with technology enabling customized degree programs that respond to individual aspirations and market demands. Infrastructure development remains a priority, with ongoing efforts to expand ICT capabilities across India’s school system through integrated approaches combining school and higher education initiatives.


Conclusion

This comprehensive discussion revealed both tremendous potential and significant challenges facing AI integration in Indian education. The research findings demonstrate substantial student adoption of AI tools while highlighting persistent issues with accuracy, equity, and appropriate usage. The consensus among panellists was that successful AI integration requires fundamental reimagining of educational institutions rather than incremental reforms.


The path forward involves addressing infrastructure gaps, training educators, developing ethical frameworks, and creating seamless integration across educational levels. Success depends on coordinated efforts between government, academia, and industry, with particular attention to preserving human elements of education while leveraging AI’s transformative capabilities. The speakers expressed confidence that with proper implementation, AI-enhanced education could help India realize its potential as a major global economy while maintaining its cultural values and educational traditions.


Session transcript

Dr. Ramanand Nand

Belgrade, and Paris. CPRG brings policymakers, educators, industry, and citizens together to reimagine AI and the future of society. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you everyone for joining this session. Before starting the session, I would like to tell you about CPRG and the future of society, which is a joint initiative. The Center of Policy Research and Governance is a policy think tank that is continuously researching policy and governance issues in different fields. Two years ago, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society.

Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society.

Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. Under Future of Society, we developed a center for the study of the relationship between emerging technologies and society. In light of this, just one year before, we have published one report, Usage of AI in Higher Education. Now, we have just launched, going to release one more report, Usage of AI in School Education. In next month, we are going again, going to launch a report, Future of Job. Future of Job. What kind of future skills, what kind of future jobs are coming?

and they are going, they are transforming we are going to launch a report on that but now, it is in next month but now the report we are going to launch that is AI in school education and to launch that, I call all my guests and Pranav ji to the stage now we have a short presentation with some salient findings from our study

Pranav Gupta

So AI in school education, this is a survey report that we have conducted late last year as part of our ongoing internal activities on mapping AI usage among students in India in various sectors in India So over the past year, CPRG has now released two reports on AI adoption in education So last year we released a report on AI adoption in higher education This was the first ever survey based report in India on mapping everyday AI use among college students Today now we are launching our new report on AI adoption in school education Both studies have been conducted in Delhi where we have actually gone to students, interviewed them to understand what are they using AI for, how often they are using AI for and what are various challenges and opinion on usage of AI So firstly, if we just compare our broad findings, what we find is that AI use among school students remains relatively high, though marginally lower than what we found among college students within the same city because both studies were conducted in Delhi.

Yet what we find is that nearly 50 % of students, and these are of course, these are students from private schools in Delhi, that was our limited sample, almost 50 % of them use AI -based tools. These could be generative AI platforms or other AI tools multiple times a week. What are patterns of AI or edtech use as per academic stream? So what we’re finding is that while AI use, especially generative AI platforms such as strategy, GPT, Gemini remains relatively high. What this is also leading to is also, leading to some sort of a challenge to traditional methods of learning and edtech platforms that have become extremely prominent and widely used over the past few years.

then what are students using AI for so apart from asking how often are students using AI we also try to delve into what are they using AI for and what we find in our study is that AI use is essentially concentrated for generally searching for new academy for academic information while studying or writing assistance and this of course varies across streams because some students may be more into more engaged in practice solving question solving and yeah use depends on depends on usage but however what we find is that among science students for instance while there’s high AI usage for learning concepts there is very limited usage for structured tasks like calculations or calculations or solving questions because that is where various AI platforms still have relatively low accuracy now what is perceived helpfulness of AI for school examinations and entrances and here what we interestingly what we find are a few things one there is relatively high perceived helpfulness of AI platforms for both studying for school exams and entrance exams while especially for entrance exams, students who are in the science team are more likely to prepare for entrance exams are still more dependent on offline classes or edtech platforms.

Yet the level at which we are seeing perceived AI helpfulness, it means that there is an emerging challenge that is coming to edtech platforms through free usage of generative AI platforms. AI support in learning and performance. So how do students rate AI -based platforms or AI -based tools in terms of their actual impact? And what we find is that apart from, of course, learning complex topics, improving their time management, there is a substantial proportion of students who are actually attributing improvement in their academic performance to use of AI platforms. At the same time, students report issues with accuracy and challenges in AI use. One of the major challenges with respect to AI use is that a significant proportion of students regularly encounter AI hallucination or are able to identify that they are getting incorrect information.

Then secondly, as I mentioned, when it comes to accuracy for logical or numerical subjects, there is relatively lower reported accuracy. Again, this is something that various platforms are still working on in terms of trying to improve their performance and accuracy. Next is apart from their overall planning and understanding overall AI uses, we also try to compare AI platforms and their performance with other tools. So what we did was we asked students, number one, is our AI performing? Are AI platforms better than YouTube? or ICT -based learning, and there what we find is that there’s still overwhelming support for YouTube, video, or ICT -based learning tools. Secondly, there’s a whole question of adaptive learning and AI addressing individual needs.

Here, there is an overwhelming evaluation by students that while AI tools might be helpful, they are not necessarily providing solutions that are specific to their needs. And this, of course, might be because of the nature of AI tools that students are using, which is in most cases free models of generative AI platforms as opposed to specific AI tools that are actually able to undertake adaptive learning. And then finally, we tried to ask about AI versus human interaction. So the idea of AI tutors or AI -based learning tools replacing in -person teaching, there again, there’s an overwhelming support, there’s essentially overwhelming support for the idea that students still prefer AI -based learning tools. So there’s an overwhelming support for the idea that students still prefer traditional human interaction.

based learning. So what we’re finding in our study is that while AI is definitely emerging as AI use is definitely increasing significantly among students, it is still considered as a supplementary tool as opposed to a main as opposed to a replacement or substitute for traditional teaching. So these were some of the findings we have more detailed findings in our report and at the end I would just like to thank our team that worked on this report. I would like to thank Nitin, Mehta and Ms. Suchitra Tripathi for their guidance and oversee of this research and I would like to thank our team members Gauri, Shreya, Anupriya, Rashi, Mika and Shugal for their active involvement and participation in the study.

Thank you so much.

Dr. Ramanand Nand

Thank you Pranavji for the presentation. Today as a panelist now we have Professor KK Agarwal sir, President South Asian University We have Professor Pankaj Roda, sir, Chairperson of National Council of Teacher Education. Suresh Yadav, sir, Executive Director, Commonwealth Secretariat. Andrao B. Patil, sir, Assistant Secretary, Higher Education. And we have Aditi Nanda, Director, Education and Industry, Intel. And, Agrawal, sir, you have seen, you know, the transformation during IT movement. And if I can align correctly, at that time you had developed Interpress University. And maybe because at that time IT was also in boom and you were in the process to develop a new institution. So, you have seen the transformation. So, when you are developing an institution, you must be having in mind how IT is going to challenge those, you know, kind of traditional or conservative approach of, you know, institutions.

Now again you are the president of South Asian University, it’s one of the iconic institutions in India. And again you are facing new challenge from the AI. So how you are finding this AI is different from the past IT. Because in your lifetime you have seen two movements, first IT, now AI. And at the same time you are developing two new institutions. Because before you, Sao was not in that position. But now Sao is leading. So how you are finding?

Professor K. K. Aggarwal

Thank you Ramananthi for the question. Yes, in a way when I was asked to develop the very first university in Delhi, Indraprastha University. And it was a challenge because it was the first university in the country. and your very right IT movement was also in the offing it probably happened by coincidence that the vice chancellor which is me which was appointed at that time belonged to the discipline of IT. This was probably never a calculation but it happened for the good of the country and the university I believe because you could get two in one kind of person to develop so we made sure that right from beginning IT is, that was the time when if you remember I saw the students in Delhi incidentally I think this was the first university in Delhi for the students after Delhi University who was an affiliated university so I was seeing the students go to the Delhi University colleges, they are not satisfied with the employment and in the evening they go to a tech company and do a course there so I was there for the course and they were very happy Now that was very disturbing to me Why the students should feel Not very satisfied at the end of the formal school Or formal college And then try to do that So my first thing was Let’s combine the two So our curriculum itself should integrate both If the students have a job in IT sector Why should we not realize this And make sure that every subject is more IT saving And so on and so forth Now when I am here The challenge obviously as you say is AI AI is fortunately being adopted by the youngsters even faster Which was expected IT was also adopted by them faster than the elders AI is being adopted much faster than elders Which is a good sign Only thing which one has to see is As I said in the whole process of using AI AI Let’s make sure it supplements our creativity.

It does not give us a shortcut to creativity and thereby reduce our creativity powers. That is a challenge which we have to face in academics. Short of that, it’s a good opportunity for all of us.

Dr. Ramanand Nand

Sweshar, while working with President Mukherjee, you have introduced a lot of technological tools, and a lot of innovation, not only in the finance industry, but as an advisor of the President, you have introduced a lot of educational innovation as well. I think that was before the time of 2014 and 2015. After COVID -19, the educational system has been changed, and it is getting changed very fast. How, you know, you will analyze and how we’ll assess this kind of change, and what will you suggest, you know, to educational institution and to the head of the institution to, you know, kind of to address those challenges posed by AI and other emerging technology?

Suresh Yadav

Thank you very much, and first of all, a big congratulations on this fantastic report, which talks about the AI in school education and also your previous reports, which talks about AI, and I think it’s a very good documentation to understand where we stand as a society, as a country, as an institution in the emerging landscape. COVID changed, Ramananji, drastically the way the world look at the various way of doing the things. I mean, going to the office was normal. Now, not going to the office. office is normal. So there is a fundamental shift. It’s very difficult to get the people back to office and the argument is that if I can do my job better while sitting in my home, why do you want me to come to the office?

So these are the fundamental shifts which we have witnessed post -COVID. And then if you look at the artificial intelligence, it’s a paradigm shift. It’s not only 180 degree, it’s a 360 degree shift. We don’t know which direction and what direction we are going. Any organization, any society, any institution which is not live and kicking to this new emerging reality will be fossilized. Remember, we have in 180 controlling the almost one -third GDP of the world. And it was not the country which was leading, it was the institutions. It was the institutions of that time. which were producing the skill which can produce the goods and services and the material which can dominate the world.

So it was the role of the institutions. Of course, the government has now tried to recreate Nalanda, which is coming out very well. So the point I’m trying to emphasize is that the role of educational institutions is of paramount importance. No institutions can dominate the world. No country can dominate the world unless the institutions dominate the world. If you look today, the U.S. is dominating the world not because of the military power, but because of the higher education system. If you look at China, the Chinese universities are coming on the top. The number of research in the field of computer science, AI, machine learning, computer vision is dwarfing the research being done in the United States now.

So that’s the level of the shift. So when I’m talking about, in your topic, reimagining the education system and education system in the United States, India, I’m not talking of today, I’m talking of India of 2050, India of 2100. And one thing I keep saying that India, a lot of people say it’s a $5 trillion economy, they’re very happy that we are the third largest in PPP, fourth largest in the other term, but I’m not happy. Because India as of now of 1 .5 billion people, if you look at the European standard of GDP per capita, we should be more than 70 trillion. If you look at the American standards of GDP, we should be more than 150 trillion, more than the size of the world economy.

So that is the level, that is the where we have to think that what kind of institutions we need, what kind of infrastructure we need, what kind of history we need. Is it the degree, the undergrad degree, master’s degree, PhD’s degree, I got all the degrees. I studied in India from IIT, Indian School of Business, I studied in US, UK, Germany, India, India, India, India, India, India, India, India, India, India, India, India, Sweden, everywhere I have just to educate myself that how the things are different. What are the fundamental differences? So that is something which we have to realize and not do the reforms. This is not the time for doing the reforms in the higher education system.

It’s like reimagining. You see what we reimagine India in terms of digital India, we are getting the dividend. We are a country which is entirely on different level generating billions of transactions on the digital UPI system which was unheard. So similarly we need a higher education system, we need a general education system which can give an exponential bump to India’s story and that’s not going to be the normal system. It’s going to be something very, very different and that is going to be based on the foundation of the technologies. We have been talking that this is the first time in the history of India though it has been tried several times in the past to link the north and south.

Language barriers always existed. But AI dismantles the barrier. I was in my village. We set up AI lab. We set up AI shop. And my message to villagers, you can speak in your Bhojpuri to U.S., to Russia, to Japan. So that is the first time a fundamental shift in connectivity is happening around the world. And India being a young nation, a country of young people, almost 44 million students in the higher education ecosystem, almost running parallel to China, we have that power and potential to change. And the moment we are able to use this technology, I’m sure that we will realize the potential. So I say in terms of potential, I say I am number one economy.

India is number one economy, not third or fourth. So that’s the mindset. Because I have to reach to my potential. And I will reach the potential only when I know my potential, what is expected. So there is a huge responsibility of the Indians of the present generation, not only for themselves, but the Indians of 2100, Indians of 2050. And if we are not able to capitalize, this AI boom will be left behind. If you see the geopolitics around the world, we say it’s a new war and all, but it’s the technology war, it’s the AI war. Countries are understanding that those who will dominate AI, they will dominate the world for the next century. So we have to love it.

We have no option as a nation. And the education system, which is one of the biggest in the world, will have a very catalytic role in realizing that dream of India

Dr. Ramanand Nand

Pankaj sir, as a head and dean, you have changed the curriculum of University of Delhi. You have also… Well, you know… you know introduce lot of skill -based course during your time and make it you know outcome oriented but the ai challenge is new uh you know and now as a chairperson of nct you also seeing the lot of diversity among the institutions from the jhabua to delhi and you know it’s a multi -layer system and as you know chairperson of nct how will you introduce kind of you know ensure institutions they can respond in the same manner to the challenge of ai because there are a lot of diversity in india and there is a lot of diversity you know about having those kind of resources because ai also need a lot of resources not in only in financial term but in the term of technology and kind of having electricity and other thing so how do you how will you ensure?

Pankaj Arora

on the same topic. So AI can assist. AI cannot be a master. It is an assistant. If we use it for ethical reasoning, if we use it for creativity, collaboration, adaptability, I see teachers will increasingly function as mentors and learning designers, not learning followers, and ethical guides and facilitators of inquiry in a classroom situation, as well as in writing textbooks and developing curriculum. AI -based output demands AI supervision. AI supervision, I mean, AI cannot be left free to design any curriculum. We need to supervise it. When I say, we all know the difference between governance and leadership. Governance, I call, like, governance means compliance manager. If whatever is coming to you, you are implementing it.

You know? whether it is a college, university or any other organization. And if you are an academic leader, then you make a change in that compliance. Compliance will take place because governance is essential. But at the same time, you bring change according to the needs of your institution, needs of your students, needs of your financial resources, etc. Similarly, in education, we must not become AI followers. We should become AI leaders for the time. Yesterday, Honorable Prime Minister said we have tremendous potential to become AI leaders for the world. In those lines, as NCT Chairman, we have brought two new programs, NPST, National Professional Standards for Teachers, and NMM, National Mentoring Mission. Both are designed on a digital platform, on a digital world.

And AI is helping us analyzing people’s queries, their questions, their anxiety, and helping them. to identify right mentor for them. And mentor -mentee is always a guru -shishya context which is very meaningful and useful. I’ll close this remark by saying now we are moving away from treating technology as one of workshop. Rather than we should shift towards multi -semester AI spine. AI is spine of entire education system nowadays. And our new program ITEP have multiple context of AI based technology. We must transit from product only evaluation to process rich evidence of learning. That is more meaningful. In 2012 CBSC brought continuous comprehensive evaluation. Now AI is helping us to go for process rich evidence in learning.

Risk landscape is there. Bias, heliconations are there. But uneven access to technology is also a challenge that should be taken into consideration. My last closing remark is AI plus education can take us towards VIXIT BHAGAL 2047. AI is not a choice. It is a part of our life and providing us multiple new methods of research, new methods of industrial internship, but education which is providing culture, language and humanistic approach, both need to work hand in hand for better future for VIXIT BHAGAL 2047. Thank you.

Dr. Ramanand Nand

Patil sir, as an Adjacent Secretary, School Education, you embedded technology and through technology you have been in our track not only Nipun but other platforms. Thank you. The focus of the government on learning outcomes has improved a lot. Now you are in higher education. And higher education is a very diverse sector. And at the same time, in contrast to school education, in higher education, you have more controlling power than a single person. School education is subject to some time in contract list. So that’s why. What is your vision now to transform those higher education institutions in the age of AI? Because the challenge of AI is constantly coming. Not only for the students, but as well as administrators as well.

And at that time, what are you planning? How will you address those issues?

Ananda Vishnu Patil

Thank you, sir. Thank you so much for giving me the opportunity. I would like to ask a few of the… I think I’m seeing a lot of students here. Can somebody tell me how much time telephone took to reach to 5 crores? How much subscriber are users? Yes. any guesses 30 as a good guess anybody else quickly 50 years okay good some more yes yes somebody sitting right up the stable 75 years yes so it took five you grow people go the telephone my light we took 75 years it took 38 years to reach this radio took 38 years to reach to 5 crore people our charge EPT any guesses Gemini took for 60 days to do is to the 5 crore people whereas charge a pity to 40 days to restore to 5 or people so this is the I think there is a quantum jump or whatever you see It is a huge jump.

And with this, it is a big challenge for the educationists in both school and higher education. I can just read some figures for many of you that in world, we are having around, say, mobile users. In the world, there are 749 crore people, whereas in India, 120 crore people. Internet, 600 crore people. They are using it in India, it is 100 crore. In Google world, 580 people, 580 crore people are using Google, whereas in India, it is 80 crore. And charge APT, world, it is 80 crore. This is last month’s data, not this month. So around 7 crore people, they are using charge APT in India and 1 crore in Gemini. So around, maybe by this time, 10 crore people will be using charge APT in Gemini here.

Now the challenges, what are coming up, I will come to that. I am not pessimistic at all. But if you see. In the education ecosystem, Suresh sir also has told. and other speakers have just told. This is very important to see what is the cohort. Around 25 crore children are in the school education and 4 .6 crore students are in the higher education. So around 30 crore we can say. Now 15 lakh schools are there in India. And right now if you see the infrastructure around 4 crore, sorry 4 lakh schools only having the computers. ICT labs and tablets and other things. So it is a huge challenge to take the AI revolution to last mile.

We are aware, as I told you I worked in school education, now in higher education. So we are having integrated approach and we are working on that. But we need your help. Second one if you see in school education, around 1 crore teachers are there right now. And most of them are women. So which is really good change is happening there. But how many of you are in school education? many are AI savvy or AI literate, we are working on that and NCD chairman sir has already told on that, Pankaj sir has told on that. Now coming to the different digital divide, Delhi schools if you say and the remote area schools, the tribal areas or as you can see, madam is also from Bangalore, I last week went there, there is huge development so the cities, the way they are catching up AI is huge, humongous progress is there but rural area and other places it is a big challenge.

Central schools like KVS, NVS they are doing really good in catching up with AI, using the AI technologies, even CBS is coming with AI curriculum, whereas in the report also I have seen like Andhra, Assam, Tamil Nadu and few other states are using the AI curriculum and AI tools for implementation in the education system, whereas other states are using AI. to catch up. So there is little bit divide in this and it will take time for India to catch up. But yes all of us are now agreed that yes AI is not going anywhere. AI has to be used. AI is useful and same time AI is not enough. We should treat AI as a machine not as a human being which is very very important.

AI if you started taking as a human being then it will be problem. It will be huge mental stress on the students and other users also. So we are aware of this. That is why school education has taken very wise decision to introduce AI curriculum in third grade. It is not to teach the AI. It is to teach what is AI. What are the uses of AI and whether it is good or bad. So children should know about it which is very very important. So coming generation, coming of generation new generation, next generation must Learn AI because it is very, very useful. Yesterday, as Pankaj sir has told, the Prime Minister has told that AI, India has to become hub of AI.

And yesterday evening, yesterday full day, we had the meeting with Spain universities. Today, again, we are having the meeting with the Spain universities. Like that, a lot of meetings are going on, MOAs are happening. You may be knowing that IIT Madras has developed one tool where Dr. Kamakoti has spoken. It has spoken in Tamil and it has been translated in 11 languages of India. As Suresh sir was also telling that when you speak in Bhojpuri, it can get translated in others. So there is huge potential. I have seen from Siksha Lokam, they have shown me that again in Bihar, the villagers, the women, they are talking about dropouts. Why I got dropout? Why my daughter is getting dropout?

What are the issues? They are talking in the local language. And AI is actually summarizing. They are translating in English and various other languages. So they are talking and with that there is no typing, nothing else. It is getting summarized, classified and as an administrator we can take decisions. So AI is a boon if we are using it very properly and AI will become a ban if it is misused or unethically used. As sir was asking me for the challenges in AI, yes there are many challenges. What we are doing right now is updating the curriculum, we are doing educational governance which is coming up. But many IITs they brought AI schools in their campuses.

They are having MOUs with Google, Microsoft and various other places. Wadwani Foundation has also started one AI school in one of the IITs. A lot of investment is going on. We have already started AI CO in education and IIT Madras is hosting that. A lot of work going in that. Sarvam is also. He is also helping us in. those initiatives. But yes, there is parity, there is disparity. We need to sort out those issues. And AI is not only for the STEM that we understood and we are implementing that way. Everybody has to understand what is AI and how we can take it forward. As Suresh has told about economy, I think we both have worked previously in Ministry of Education and Ministry of Finance together.

I got his guidance there. So the way he has told, you can see it is, now we are talking about reimagining the education. So whatever you imagine, what is your vision, you are going to achieve that. So we should not limit our vision. I think 140 crore population and plus it is coming up. It is required to have really big vision, but same time necessity skills. Skills are required. And one of the reports suggests that if one year of schooling is happening, the 24 percent, there is output increase in the labor output actually. Labor can the output will increase by 24%. And in India we are having these certain issues. If you see what labor force is giving the output in US, what is given in South Africa and what is given in India, there is really we need to think about it.

So year of schooling is very very important. We are having challenges of dropouts also. Luckily Vidyasa Mishra Kendras and other tools we are using to trace the dropouts and bring them in the mainstreaming. You can also see around 5 crore children are dropped out. And various state governments are working on that to bring it down. So European Union few countries may be having this population of 5 crore. So challenges in India are more, much more but as Madam was also asking me what will be the impact of AI summit. I think it will be huge impact on us. Next two years we can see what will happen. the way India is going to change as again I can say one last example and come back when I was working in banking department people said there is something called payment through the mobiles and when I was discussing with our CMDs of the banks those days they were CMDs now it is MDs and they told me that no it is not going to work here and South Africa started there Airtel itself started it there and 2016 when DMO has come we can see the huge impact and now NPCI we can see the way it is happening around 50 % of digital transactions are happening from India world’s transactions there is huge change I think another two years we can see there is huge change in AI adaptability and using it but one caution is that AI has to be used as a tool it has to be used ethically and it has to be used for the humanity that is what I can say thank you so much and we are getting prepared for that sir as IITs are far better IIMs are far better whereas central universities are catching up with this EI and we are trying to help with them.

Thank you sir.

Dr. Ramanand Nand

Thank you sir. I think that as you have brought everyone on one platform in school education similarly, the same way, in higher education institution, the same way, the scale and maybe the other institution’s scale will increase. We have also Aditi Nanda, Director of Education and Industry. Aditi, in India’s digital journey, I should say that whatever we have seen, lot of transformation in the last 20 years, there has been a lot of importance of the private sector. With the government institution and the education institution, Kali humne ek dekha ki Sharvamaiyai ne apna ek language model launch kiya. Aur usko kaafi hua. To Intel India ke educational journey se kaafi associate raha hai. As a part of the industry, how do you see as an opportunity and challenge?

Not for the only industry, but for the education sector as well. Thank you, Dr.

Aditi Nanda

Namanan, and thank you for having me here. It’s been very interesting and it’s been a pleasure for me to listen to all the other panelists here. Got to learn quite a lot. And congratulations on the report. So very interesting and very pertinent point that you raise, that the industry also needs to work with different players, not just with the government, but also academia. and create a change. So I have a very interesting job. I work with the ecosystem and industry. And in that, I get to work with different startups, get to know different ISVs, and really see the innovation that’s happening. And some of these innovations are interesting to see because they are cutting edge.

They are coming from India, for India, and then they go for the world. Like you just mentioned, sir, Patil sir was just talking about, you know, the digital payment. And I think you were mentioning M -Pesa from an Airtel perspective. So how we have taken, you know, the UPI and other things, and we are taking this to the world. It’s a very proud moment. But it starts with an idea. And it starts with something that needs to be nurtured by everyone. If we have, and that’s what the AI Summit, it’s a great moment for all of us. We’ve put ourselves on the world map. We’ve shown the world that we can do great. And here is where the technology innovation is happening.

And from an Intel perspective, We work not just very closely with higher ed but also K -12 and of late we’ve been working with some start -ups to come up with solutions which impact the students at large. So I was talking to somebody the other day and I think Sreshtha was talking about, you know, Bhojpuri getting translated. So I was talking to somebody and said, why are learning outcomes in the Indian tier 2, tier 3 and rural areas not as great? You know, the response came ki bache ko maths or physics nahi samajh mein ata, yeh problem nahi hai. Bache ko English nahi samajh mein ata, yeh problem hai. Kyunki hamara teaching medium o bache ke language mein nahi hai.

And what we are doing today in terms of making sure that the content reaches everybody in the language that they understand. I think that is going to be a game changer. And that is coming from AI and AI is coming from a combination of people. Folks like all of us in the room coming together and saying, okay, let’s make something that will have an impact at population at large. so those are things and you know I was talking to you just before this, he said India mein aisa nahi hai ki people don’t want to buy technology they are not afraid of technology but the problem is and how many of us as parents will always say laptop nahi, bachcha ko laptop nahi dana, bachcha bigar jayega but why are we not seeing the value, why are we not seeing why are we not seeing that a creation device like a laptop or something that is more than a consumption device, where is the value creation in that, can we have AI courses, courses starting from class 3 onwards, going up to higher ed and we have in fact worked, my colleague of mine has worked very closely with CBSC to create a curriculum which has gone into schools right and we worked, Intel has worked together and helped put that together we have a program called Unnati for higher ed and now we are bringing in these courses which are AI for Future Workforce under that umbrella, which has courses like AI and manufacturing.

And we have put this out in Gujarat Technical University, and recently we had somebody come in from there. This girl was the first time, first generation to go to a college. She went through this program, and in this program we also had internship. So she had interned with a startup, sorry, with an industry in Surat that was doing basically textile manufacturing. And she created a project on defect detection using AI. So a kid from a rural area going to college for the first time as the first generation going to college, being so confident about what she had created because it was being used in an industry, and she could see the impact. I mean, those are the stories and those are the things that make you feel like you want to work in this.

The rewards are huge. I think that is what is needed, and Intel is doing, obviously, a great job. All those… bringing these things together and all the programs that we have, whether it’s Unnati, whether it’s Future for Workforce, whether it’s, you know, the stuff that we do in the K -12 space. We’ve got an ISV, a startup that we work with, which is helping teachers become, you know, AI -enabled. So creating, and there is, and it’s all running locally. The content doesn’t even need to go into the cloud. We have solutions running on AI PC, which is what Intel is now bringing to the market. And I would invite you all to please come visit our booth at, of course, AI Summit, because that’s what has brought us all here.

And we’ll show you some of the really cool use cases and demos where voice -to -voice gets translated on the device. So you don’t even need to connect to the internet. You don’t even need to connect to the cloud. Everything is happening on the device. The content is there. And I think I heard hallucination is one problem. That is… what you also, you know, in the report identified. What if the content sits locally on the device itself? So you’re only looking at class 9 science. So when a child asks about a question, maybe they’re just wanting to know how do I get into NEET and JEE, the answer’s coming from there. And it’s coming from a language, coming in a language that the child understands.

So what if that happens? And that exists today. We’ve worked on it. So think of it as a 24 -7 tutor. And one more thing, you know, I don’t know how many of you will relate to this, but at least I used to. When the teacher’s teaching, sab samaj mein aajata tha. But jab ghar jaake wohi concept padhu, toh ye kya hua? Ye kaha se gaayab ho gaya? Toh jab aisa hota hai, and if you’re an introverted child, who do you go and ask? And how do you create that, say, space of asking? You can have tuition teachers, you can have personalizers. But if there is a bot, that is not judging this child. And is saying, hey, come here, I’ll teach you in the language you understand.

and you know as a parent that this is all happening on the PC it is all safeguarded there is lesser chance of hallucination that is what we are working towards and I will finish with because there are all esteemed panelists I think I should finish with a quote Arthur C. Clarke said technology done right is like magic and if we bring that magic of technology plus AI to all kids in India I think we have done our job that’s what

Dr. Ramanand Nand

thank you Aditi I think we have few minutes more and we can have just you know a quick round intervention just on the issue when we just try to reimagine institutions what are the two things that we can do in future of institutions and what are the two things that we can do in future of institutions We want to see or we do. Sir, if I may ask, what do you want to see in the future of higher education? What do you want to see?

Professor K. K. Aggarwal

Anamanand Ji, in the field of higher education, what are you talking about reimagining AI? I think, as Rohrat Ji said, we designed the entire curriculum on the dashboard. We have to make youth the part of the dashboard. The power of AI, which we have established in the national education policy, is that we have to do student -based education. Every classroom will have the same level of students. We have to force the assumption of massification of education. We have an opportunity to come out of this. And to lose this opportunity is a crime. It is a world crime. we shall have to come back to this individualization of education just taking advantage of my little longer journey in education Mr. Patil said the schools may be penetration I just like to remind him when first time the computers were sent to the schools one had master complained to me sir government has given the computers so costly that was the stage from where we have come a long way and now we have reached a critical mass the journey is not going to stop the journey is going to be accelerated what we call the avalanche effect in physics that avalanche effect has come and to prevent it from being arrested this is our responsibility youth will take it forward individual responsibility which I am talking about and an international perspective he goes to the class the first day he says how many ties of size 10 cm by 10 cm I will need to fill a room of 1 m into 1 m in fact it is such a simple question everybody should answer it nobody raised a hand he was frustrated where have I come to teach if this is the level and I was told it is a good class very frustrated finally a girl raised hand said ok at least somebody she said yes come on we will work it together he says sir everything is fine but firstly tell us what is a tie see in that African area the tiles were never used.

They were used for round rooms with round floors and square tiles or rectangular tiles were not in the dictionary. And on that basis, we declare all that class failed in mathematics. That is what we are doing today with the help of simple tests. So we have to find out what is the ground level situation and then go ahead on that to test the ingenuity of that. Lastly, we have not to teach the subjects. We have to teach the students. And therefore, for each student, what can we do? Again, I say, AI is an opportunity, great opportunity. We are talking about reimagining higher education in this summit. And my request with all the persuasion is let the youth assert themselves that we need these subjects to be taught for our degree.

And technology enables us to do that. We will have to do that. That’s my call on this. Thank you.

Dr. Ramanand Nand

Thank you, sir. Suresh sir, in the same manner, when you reimagine institutions and you are heading up, you know, you’re a part of a global body, what kind of future and what kind of, you know, I will say two or three things you want to see in the future, you know, futuristic education institution.

Suresh Yadav

India has millions and trillions of problems in each and every corner. You pick up one problem, solve it. You get your degree and go. You don’t need to pass all the examination. So that’s the fundamental shift India needs. If we want to go back to what I said in the beginning, that we want to be a nation where skill, capability drives the economy, not the other way around. So that’s the second. The third one you see, the 12th education system, the higher education system, the primary education systems works in silos. We have to find and technology allow it to do it to interconnect the entire systems. And in the U.S., the higher education and the high school systems are very well connected in the part of ecosystem.

The moment we do that, we will have a thriving higher education, thriving education system, and pushing India into a very high growth trajectory. to realize the dream which I talk about, our number one nations, not by 2050, 2070, but very soon. Thank you.

Dr. Ramanand Nand

Thank you, sir. Pankaj sir, as a chairperson of NCT, when you reimagine a teacher education institution or think about how a teacher education institution will be in the future, what are the two or three features that come to your mind that you think a future teacher education center should have?

Pankaj Arora

Yes, as a regulator for teacher education, now Vixit Bharat Adhishthan is coming, where it has been proposed to go with AI -oriented regulator. That regulator is not supposed to have a lot of human working for it, but 70 to 80 % assessment will be done through AI. So, AI is going to play a an important role, not only as a regulator, but also as a norms and standards developer for the nation, for academic programs also and for teachers also. I think the responsibility to promote research ethics among young people is very, very critical at the moment. Somebody is writing a letter to his wife and asking AI to give me a letter. So this is ridiculous.

It cannot give you emotion into that, personalized flavor to that. So research ethics, when you are doing any research for any class level, then we need to think of assessment devices, evaluation and assessment, which is lacking behind. We are developing content through AI, but we are not doing assessment through AI. This year, CBSC is trying to assess class 12 answer script through technology, but those would be only scanned documents. We’ll check by teacher. from their own remote place. But that is the beginning of bringing technology into assessment. And my last point would be, Indian knowledge, Indian languages, we must start working very, very hard on this. Because if we actually want to pass on Indian tradition to the next generation, AI can become an important tool for that.

If we take AI out of Western knowledge, if we promote it in Indian knowledge, Indian context, Indian languages, then we will really help the next generation. And as the Prime Minister said, we have two AIs, Aspired India and Artificial Intelligence. So we must take both of them to optimum use. Thank you.

Dr. Ramanand Nand

Thank you, sir. Patil sir, from the ministry perspective, how you visualize future universities, and what kind of change you want to bring higher education institutions? which we want to build for the future.

Ananda Vishnu Patil

Again, same thing that Sir has told that it should be integrated. School and higher education, I would like to say that few universities have agreed to reach out to 100 schools. In Pune, there is a university called COEP. So they are telling that every day one school will come, visit, see their libraries, see their laboratories, meet their teachers. The teachers will go to the schools, they will interact. Because many of them are not knowing what is the present school. And what I was in the school and today’s school, there is huge change. Really huge change is there. So that has to be seen and it should be integrated. One more point that NEP says there is innate talent among the students.

So students should understand that and work on it, on your skills and meaningfully contribute to the economy which is very, very important. So once 140 crore population of India started contributing to the economy means above the income tax. level I am telling that pre -income tax level so minimum 5 lakhs or 6 lakhs it is going to be huge change here third point is brick mortar schools are going universities are going that is already we are seeing this huge change but same time teachers cannot be removed actually the teachers mentors facilitators has to be there and even we are requested even Intel we had last time meeting also with the companies to be mentor actually you should also tell kids enough is enough one hour up you are playing with the games or you are using this thing so stop it there which is really required so ethical use is very very important yes we need to create a platform where all of the people can come that is what EI COE in education happening with Madras IIT where schools and higher educations are coming together higher institutions are coming together private players also coming together so I think I recently seen one startup in IIT Delhi where they don’t like this hotel rooms and all that.

So he not want any hotel rooms at all, like that. These startups don’t have any classrooms, they don’t have any infrastructure at all. But they teach in medical education actually with this permission from the regulator. Paramedician basically are working it. Youngsters are here, lot of youngsters are here. Friends, their annual turnover is 200 crore in just last two years. They are telling another one year will reach 400 crore. So I think there is huge opportunity for all of us. We should work on it. Thank you so much.

Dr. Ramanand Nand

Thank you, sir. Aditi, your comment on future of institution.

Aditi Nanda

Sure, sir. I think everybody has done a great job. Job of articulating that. If we do this, everything will be done, I think. That is what I think.

Dr. Ramanand Nand

Thank you everyone for joining us and thank you for our eminent panel to put light on reimagining the institutions and I think that what we are thinking about how the future institutions will be when we start thinking it will start to grow and thank you everyone

P

Pranav Gupta

Speech speed

155 words per minute

Speech length

1033 words

Speech time

398 seconds

High private‑school usage

Explanation

Around half of the surveyed private‑school students in Delhi report using AI‑based tools, indicating strong early adoption in school settings.


Evidence

“Yet what we find is that nearly 50 % of students, and these are of course, these are students from private schools in Delhi, that was our limited sample, almost 50 % of them use AI -based tools” [14].


Major discussion point

AI adoption in school education (survey findings)


Topics

Artificial intelligence | Capacity development


Frequent multi‑weekly use

Explanation

Students report using generative AI platforms or other AI tools multiple times each week, showing regular engagement beyond occasional curiosity.


Evidence

“These could be generative AI platforms or other AI tools multiple times a week” [16].


Major discussion point

AI adoption in school education (survey findings)


Topics

Artificial intelligence | Capacity development


Primary uses: information search & writing assistance

Explanation

The survey shows AI is mainly employed for searching academic information and assisting with writing, while structured calculation tasks see limited uptake.


Evidence

“what we find in our study is that AI use is essentially concentrated for generally searching for new academy for academic information while studying or writing assistance” [18]; “among science students … very limited usage for structured tasks like calculations or solving questions because that is where various AI platforms still have relatively low accuracy” [18].


Major discussion point

AI adoption in school education (survey findings)


Topics

Artificial intelligence | Capacity development


Perceived helpfulness for exams but seen as supplementary

Explanation

Students consider AI helpful for preparing for school and entrance examinations, yet they view it as a supplement rather than a replacement for traditional teaching.


Evidence

“there is relatively high perceived helpfulness of AI platforms for both studying for school exams and entrance exams” [18]; “it is still considered as a supplementary tool as opposed to a main as opposed to a replacement or substitute for traditional teaching” [21].


Major discussion point

AI adoption in school education (survey findings)


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society


Concerns about hallucinations and low logical/numerical accuracy

Explanation

A significant share of students encounter AI hallucinations or incorrect information, and they report lower accuracy for logical or numerical tasks.


Evidence

“One of the major challenges with respect to AI use is that a significant proportion of students regularly encounter AI hallucination or are able to identify that they are getting incorrect information” [19]; “when it comes to accuracy for logical or numerical subjects, there is relatively lower reported accuracy” [38].


Major discussion point

AI adoption in school education (survey findings)


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society


P

Professor K. K. Aggarwal

Speech speed

143 words per minute

Speech length

894 words

Speech time

374 seconds

AI adoption outpaces earlier IT transformation

Explanation

AI is being embraced by younger generations much faster than the earlier IT wave, signalling a rapid cultural shift that must be guided responsibly.


Evidence

“AI is being adopted much faster than elders … Which is a good sign” [45]; “AI is being adopted much faster than elders …” [45].


Major discussion point

AI versus earlier IT transformation


Topics

Artificial intelligence | Capacity development


Curriculum must integrate AI without replacing human creativity

Explanation

Curricula should embed AI alongside traditional subjects, ensuring AI augments rather than substitutes human creative processes.


Evidence

“our curriculum itself should integrate both” [45]; “make sure it supplements our creativity” [45].


Major discussion point

AI versus earlier IT transformation


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society


S

Suresh Yadav

Speech speed

163 words per minute

Speech length

1216 words

Speech time

446 seconds

AI as a paradigm shift; risk of fossilisation

Explanation

Artificial intelligence represents a fundamental paradigm shift; organisations that fail to engage with it risk becoming obsolete.


Evidence

“And then if you look at the artificial intelligence, it’s a paradigm shift” [56]; “Any organization, any society, any institution which is not live and kicking to this new emerging reality will be fossilized” [57].


Major discussion point

AI as a driver of national competitiveness and future vision


Topics

Artificial intelligence | The enabling environment for digital development


AI can dismantle language barriers

Explanation

AI technologies can break down longstanding language obstacles, enabling seamless communication across regions and languages.


Evidence

“But AI dismantles the barrier” [63]; “Language barriers always existed” [65].


Major discussion point

AI as a driver of national competitiveness and future vision


Topics

Artificial intelligence | Closing all digital divides


India must become a global AI leader for economic dominance

Explanation

Countries that dominate AI will dominate the world economy; therefore India must position itself as a world‑leading AI power.


Evidence

“Countries are understanding that those who will dominate AI, they will dominate the world for the next century” [58]; “India is number one economy, not third or fourth” [73].


Major discussion point

AI as a driver of national competitiveness and future vision


Topics

Artificial intelligence | The digital economy


P

Pankaj Arora

Speech speed

130 words per minute

Speech length

765 words

Speech time

352 seconds

AI must be an assistant under human supervision

Explanation

AI outputs require supervision; AI should act as a tool that supports educators rather than operating autonomously.


Evidence

“AI -based output demands AI supervision” [41]; “AI supervision, I mean, AI cannot be left free to design any curriculum” [55].


Major discussion point

AI governance, teacher education, and curriculum redesign


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society


Introduction of AI‑enabled standards and mentoring platforms

Explanation

New programmes such as NPST (National Professional Standards for Teachers) and NMM (National Mentoring Mission) are being launched to embed AI in teacher development.


Evidence

“In those lines, as NCT Chairman, we have brought two new programs, NPST, National Professional Standards for Teachers, and NMM, National Mentoring Mission” [79].


Major discussion point

AI governance, teacher education, and curriculum redesign


Topics

Artificial intelligence | Capacity development


Shift from product‑only evaluation to process‑rich evidence of learning

Explanation

Assessment should move beyond checking final products to capturing rich process data, with AI serving as the backbone of this transformation.


Evidence

“We must transit from product only evaluation to process rich evidence of learning” [84].


Major discussion point

AI governance, teacher education, and curriculum redesign


Topics

Artificial intelligence | Monitoring and measurement


AI as regulator, norms and standards developer

Explanation

AI will play a central role in shaping national academic standards and teacher guidelines, acting as a regulator and standards‑setting body.


Evidence

“So, AI is going to play a an important role, not only as a regulator, but also as a norms and standards developer for the nation, for academic programs also and for teachers also” [35].


Major discussion point

AI governance, teacher education, and curriculum redesign


Topics

Artificial intelligence | The enabling environment for digital development


Future AI‑driven assessment will dominate

Explanation

A large proportion of assessment activities will be automated through AI, reducing the need for human assessors.


Evidence

“That regulator is not supposed to have a lot of human working for it, but 70 to 80 % assessment will be done through AI” [120].


Major discussion point

Vision for reimagining higher‑education institutions


Topics

Artificial intelligence | Monitoring and measurement


A

Ananda Vishnu Patil

Speech speed

161 words per minute

Speech length

2123 words

Speech time

786 seconds

Inadequate ICT infrastructure in schools

Explanation

Only a tiny fraction of Indian schools have computers, creating a major barrier to scaling AI‑enabled education.


Evidence

“And right now if you see the infrastructure around 4 crore, sorry 4 lakh schools only having the computers” [88].


Major discussion point

Infrastructure, digital divide, and implementation challenges in higher education


Topics

Closing all digital divides | Information and communication technologies for development


Integrated school‑higher‑education approach

Explanation

Some universities have committed to reaching out to 100 schools, signalling a push for seamless K‑12 to higher‑education pathways.


Evidence

“School and higher education, I would like to say that few universities have agreed to reach out to 100 schools” [89].


Major discussion point

Infrastructure, digital divide, and implementation challenges in higher education


Topics

Capacity development | Social and economic development


Rural‑urban digital divide hampers AI rollout

Explanation

Urban schools are rapidly adopting AI, while remote, tribal, and rural areas face significant challenges in access and infrastructure.


Evidence

“there is huge development so the cities, the way they are catching up AI is huge, humongous progress is there but rural area and other places it is a big challenge” [90]; “So it is a huge challenge to take the AI revolution to last mile” [93].


Major discussion point

Infrastructure, digital divide, and implementation challenges in higher education


Topics

Closing all digital divides | Information and communication technologies for development


Ethical stance: treat AI as a machine, not a human

Explanation

AI should be regarded as a tool rather than a human substitute, ensuring ethical deployment and avoiding misuse.


Evidence

“We should treat AI as a machine not as a human being which is very very important” [52].


Major discussion point

Infrastructure, digital divide, and implementation challenges in higher education


Topics

Human rights and the ethical dimensions of the information society | Artificial intelligence


A

Aditi Nanda

Speech speed

173 words per minute

Speech length

1281 words

Speech time

443 seconds

Industry partnership to create localized, multilingual, offline AI tools

Explanation

Intel collaborates with startups and ISVs to build AI solutions that run on edge devices, support local languages, and can operate without constant internet connectivity.


Evidence

“We have solutions running on AI PC, which is what Intel is now bringing to the market” [100]; “And from an Intel perspective, We work not just very closely with higher ed but also K -12 and of late we’ve been working with some start -ups to come up with solutions which impact the students at large” [101].


Major discussion point

Industry‑education collaboration and AI‑enabled solutions


Topics

Artificial intelligence | Enabling environment for digital development | Closing all digital divides


24/7 AI tutoring with reduced hallucination risk

Explanation

AI can act as a round‑the‑clock tutor, with local processing on PCs that safeguards data and lowers hallucination occurrences.


Evidence

“So think of it as a 24 -7 tutor” [109]; “there is lesser chance of hallucination that is what we are working towards” [110].


Major discussion point

Industry‑education collaboration and AI‑enabled solutions


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society


Multilingual delivery in child’s native language

Explanation

AI solutions are being designed to communicate in the language the child understands, breaking language barriers in education.


Evidence

“And it’s coming from a language, coming in a language that the child understands” [71].


Major discussion point

Industry‑education collaboration and AI‑enabled solutions


Topics

Artificial intelligence | Closing all digital divides


Industry focus on ecosystem nurturing and rural‑urban gap bridging

Explanation

Intel emphasizes building an AI innovation ecosystem, partnering with startups, and addressing rural‑urban disparities as key priorities.


Evidence

“I work with the ecosystem and industry” [112]; “And here is where the technology innovation is happening” [113]; “We are working with different startups, get to know different ISVs, and really see the innovation that’s happening” [99].


Major discussion point

Industry‑education collaboration and AI‑enabled solutions


Topics

Artificial intelligence | Enabling environment for digital development | Closing all digital divides


D

Dr. Ramanand Nand

Speech speed

106 words per minute

Speech length

1530 words

Speech time

862 seconds

Collective call to reimagine institutions with AI at core

Explanation

The summit urges policymakers, educators, industry, and citizens to jointly reimagine AI’s role in shaping future institutions and society.


Evidence

“CPRG brings policymakers, educators, industry, and citizens together to reimagine AI and the future of society” [114]; “Suresh sir, in the same manner, when you reimagine institutions … what kind of future …” [116].


Major discussion point

Vision for reimagining higher‑education institutions


Topics

Artificial intelligence | Capacity development | Enabling environment for digital development


Agreements

Agreement points

AI should be used as a supplementary tool rather than a replacement for human interaction and traditional teaching

Speakers

– Pranav Gupta
– Professor K. K. Aggarwal
– Pankaj Arora

Arguments

There is overwhelming student preference for traditional human interaction-based learning over AI tutors, with AI considered supplementary rather than a substitute


AI must supplement creativity rather than provide shortcuts that reduce creative powers, which is a key academic challenge


AI should assist rather than master education, functioning as a tool that requires supervision and ethical guidance


Summary

All speakers agree that AI should enhance rather than replace human educators and traditional teaching methods, with students showing clear preference for human interaction


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society | Capacity development


There are significant infrastructure and digital divide challenges in implementing AI across India’s educational system

Speakers

– Ananda Vishnu Patil
– Pankaj Arora
– Aditi Nanda

Arguments

Only 4 lakh out of 15 lakh schools in India have computers, ICT labs, and tablets, creating a huge challenge for AI implementation at the last mile


Uneven access to technology remains a major challenge that must be considered in AI implementation


The core problem in tier 2, tier 3, and rural areas is not understanding subjects but language barriers, as teaching medium doesn’t match students’ native languages


Summary

Speakers acknowledge substantial infrastructure gaps and uneven technology access across different regions and types of institutions in India


Topics

Closing all digital divides | Artificial intelligence | The enabling environment for digital development


Educational institutions must undergo fundamental transformation rather than incremental reforms to address AI challenges

Speakers

– Suresh Yadav
– Professor K. K. Aggarwal
– Pankaj Arora

Arguments

Educational institutions must become live and adaptive to AI reality or risk becoming fossilized, as institutional dominance determines national power


Higher education should focus on individualized, student-based education using AI to move away from mass standardization


Educational institutions must shift from treating technology as workshops to implementing multi-semester AI spine throughout the education system


Summary

All speakers emphasize the need for systemic transformation of educational institutions rather than minor adjustments to accommodate AI technologies


Topics

Artificial intelligence | Social and economic development | The enabling environment for digital development


AI adoption rates are high among students but come with significant accuracy and reliability challenges

Speakers

– Pranav Gupta
– Ananda Vishnu Patil

Arguments

Students report substantial improvement in academic performance attributed to AI platforms, though they regularly encounter AI hallucination and accuracy issues


Around 10 crore people in India are using ChatGPT and Gemini, showing rapid adoption compared to traditional technologies


Summary

Both speakers recognize the rapid adoption of AI tools by students while acknowledging persistent issues with AI accuracy and hallucinations


Topics

Artificial intelligence | Building confidence and security in the use of ICTs | Capacity development


Language barriers are a fundamental challenge that AI can help address in Indian education

Speakers

– Suresh Yadav
– Aditi Nanda

Arguments

AI can dismantle language barriers for the first time in Indian history, allowing communication across regions in local languages


The core problem in tier 2, tier 3, and rural areas is not understanding subjects but language barriers, as teaching medium doesn’t match students’ native languages


Summary

Both speakers identify language as a primary barrier to education and see AI as a solution for enabling learning in native languages


Topics

Artificial intelligence | Closing all digital divides | Social and economic development


Similar viewpoints

Both emphasize the importance of ethical AI use and the need for proper guidance in AI implementation

Speakers

– Pankaj Arora
– Ananda Vishnu Patil

Arguments

AI should assist rather than master education, functioning as a tool that requires supervision and ethical guidance


School education has introduced AI curriculum from grade 3 to teach students what AI is and its ethical use, rather than just technical skills


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society | Capacity development


Both draw on historical experience with technological transformation to inform current AI implementation strategies

Speakers

– Professor K. K. Aggarwal
– Suresh Yadav

Arguments

AI must supplement creativity rather than provide shortcuts that reduce creative powers, which is a key academic challenge


Educational institutions must become live and adaptive to AI reality or risk becoming fossilized, as institutional dominance determines national power


Topics

Artificial intelligence | Social and economic development | The enabling environment for digital development


Both emphasize the need for industry-education partnerships and local solutions for AI implementation

Speakers

– Ananda Vishnu Patil
– Aditi Nanda

Arguments

The digital divide between cities and rural areas is substantial, with central schools like KVS and NVS performing better in AI adoption


Industry partnerships are needed to help create AI-enabled teachers and provide mentorship to students on ethical technology use


Topics

Artificial intelligence | The enabling environment for digital development | Capacity development


Unexpected consensus

Students prefer traditional video-based learning over AI platforms despite high AI adoption

Speakers

– Pranav Gupta
– Professor K. K. Aggarwal

Arguments

Students show overwhelming support for YouTube and video-based learning tools over AI platforms for educational content


AI must supplement creativity rather than provide shortcuts that reduce creative powers, which is a key academic challenge


Explanation

Despite the high adoption rates of AI tools, there’s unexpected consensus that students still prefer established digital learning methods like YouTube, suggesting AI hasn’t displaced traditional digital education tools


Topics

Artificial intelligence | Social and economic development | Capacity development


The need for fundamental reimagining rather than reforms in education

Speakers

– Suresh Yadav
– Pankaj Arora
– Professor K. K. Aggarwal

Arguments

India needs exponential transformation in education system based on technology foundations to realize its economic potential of becoming a $70-150 trillion economy


Educational institutions must shift from treating technology as workshops to implementing multi-semester AI spine throughout the education system


Higher education should focus on individualized, student-based education using AI to move away from mass standardization


Explanation

There’s unexpected strong consensus among speakers from different backgrounds (policy, academia, regulation) that incremental changes are insufficient and complete reimagining of educational systems is necessary


Topics

Social and economic development | Artificial intelligence | The enabling environment for digital development


Overall assessment

Summary

The speakers demonstrate strong consensus on several key areas: AI should supplement rather than replace human teaching, significant infrastructure challenges exist in implementing AI equitably across India, fundamental transformation of educational institutions is needed, and language barriers represent both a challenge and opportunity for AI in education. There’s also agreement on the rapid adoption of AI tools by students despite accuracy concerns.


Consensus level

High level of consensus with complementary perspectives rather than conflicting viewpoints. The speakers, representing different sectors (research, policy, academia, industry, regulation), align on core principles while bringing sector-specific insights. This consensus suggests a mature understanding of AI’s role in education and realistic assessment of implementation challenges, which bodes well for coordinated policy and implementation efforts across India’s educational ecosystem.


Differences

Different viewpoints

Role of AI in education – replacement vs supplementary tool

Speakers

– Pranav Gupta
– Pankaj Arora

Arguments

There is overwhelming student preference for traditional human interaction-based learning over AI tutors, with AI considered supplementary rather than a substitute


AI should assist rather than master education, functioning as a tool that requires supervision and ethical guidance


Summary

While both speakers agree AI should be supplementary, Gupta emphasizes student preference data showing overwhelming support for human teachers, while Arora focuses on the need for AI supervision and ethical guidance from an institutional policy perspective


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society


Approach to curriculum integration

Speakers

– Professor K. K. Aggarwal
– Pankaj Arora

Arguments

Curriculum integration should combine traditional subjects with IT/AI from the beginning, as students seek employment-relevant skills


Educational institutions must shift from treating technology as workshops to implementing multi-semester AI spine throughout the education system


Summary

Aggarwal advocates for integrating AI into existing subjects from the start based on employment needs, while Arora calls for a more systematic multi-semester AI spine approach throughout the education system


Topics

Artificial intelligence | Capacity development | Social and economic development


Assessment and evaluation priorities

Speakers

– Pranav Gupta
– Pankaj Arora

Arguments

Students show overwhelming support for YouTube and video-based learning tools over AI platforms for educational content


The focus should move from product-only evaluation to process-rich evidence of learning, enabled by AI capabilities


Summary

Gupta’s research shows students prefer traditional digital tools over AI platforms, while Arora advocates for AI-enabled process-rich evaluation methods, suggesting different views on where AI should be prioritized in education


Topics

Artificial intelligence | Monitoring and measurement | Social and economic development


Unexpected differences

Speed vs caution in AI adoption

Speakers

– Ananda Vishnu Patil
– Professor K. K. Aggarwal

Arguments

Around 10 crore people in India are using ChatGPT and Gemini, showing rapid adoption compared to traditional technologies


AI must supplement creativity rather than provide shortcuts that reduce creative powers, which is a key academic challenge


Explanation

Unexpected disagreement on whether rapid AI adoption should be celebrated or approached with caution – Patil presents rapid adoption as positive progress while Aggarwal warns about potential negative impacts on creativity


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society


Institutional vs individual focus for transformation

Speakers

– Suresh Yadav
– Professor K. K. Aggarwal

Arguments

Educational institutions must become live and adaptive to AI reality or risk becoming fossilized, as institutional dominance determines national power


Higher education should focus on individualized, student-based education using AI to move away from mass standardization


Explanation

Unexpected disagreement on transformation focus – Yadav emphasizes institutional-level adaptation for national competitiveness while Aggarwal prioritizes individual student-centered approaches


Topics

Artificial intelligence | The enabling environment for digital development | Social and economic development


Overall assessment

Summary

The discussion shows moderate disagreement on implementation approaches rather than fundamental goals, with speakers generally agreeing on AI’s importance but differing on priorities, pace, and methods


Disagreement level

Moderate disagreement with constructive implications – differences focus on tactical approaches (infrastructure vs language, institutional vs individual focus, speed vs caution) rather than strategic opposition, suggesting potential for synthesis and collaborative solutions


Partial agreements

Partial agreements

Both agree on challenges in rural/tier 2-3 areas but disagree on root causes – Patil focuses on infrastructure gaps while Nanda emphasizes language barriers as the primary issue

Speakers

– Ananda Vishnu Patil
– Aditi Nanda

Arguments

Only 4 lakh out of 15 lakh schools in India have computers, ICT labs, and tablets, creating a huge challenge for AI implementation at the last mile


The core problem in tier 2, tier 3, and rural areas is not understanding subjects but language barriers, as teaching medium doesn’t match students’ native languages


Topics

Closing all digital divides | Artificial intelligence


Both agree on need for fundamental transformation but disagree on approach – Yadav emphasizes exponential economic transformation while Aggarwal focuses on individualized education approaches

Speakers

– Suresh Yadav
– Professor K. K. Aggarwal

Arguments

India needs exponential transformation in education system based on technology foundations to realize its economic potential of becoming a $70-150 trillion economy


Higher education should focus on individualized, student-based education using AI to move away from mass standardization


Topics

Social and economic development | Artificial intelligence


Both agree on importance of local languages in AI but disagree on implementation – Arora emphasizes cultural preservation through Indian knowledge systems while Nanda focuses on technical solutions for language barriers

Speakers

– Pankaj Arora
– Aditi Nanda

Arguments

Indian knowledge and languages must be prioritized in AI development to pass on Indian traditions to the next generation


AI-powered voice-to-voice translation running locally on devices can provide 24/7 tutoring in students’ native languages without internet connectivity


Topics

Artificial intelligence | Closing all digital divides | Human rights and the ethical dimensions of the information society


Similar viewpoints

Both emphasize the importance of ethical AI use and the need for proper guidance in AI implementation

Speakers

– Pankaj Arora
– Ananda Vishnu Patil

Arguments

AI should assist rather than master education, functioning as a tool that requires supervision and ethical guidance


School education has introduced AI curriculum from grade 3 to teach students what AI is and its ethical use, rather than just technical skills


Topics

Artificial intelligence | Human rights and the ethical dimensions of the information society | Capacity development


Both draw on historical experience with technological transformation to inform current AI implementation strategies

Speakers

– Professor K. K. Aggarwal
– Suresh Yadav

Arguments

AI must supplement creativity rather than provide shortcuts that reduce creative powers, which is a key academic challenge


Educational institutions must become live and adaptive to AI reality or risk becoming fossilized, as institutional dominance determines national power


Topics

Artificial intelligence | Social and economic development | The enabling environment for digital development


Both emphasize the need for industry-education partnerships and local solutions for AI implementation

Speakers

– Ananda Vishnu Patil
– Aditi Nanda

Arguments

The digital divide between cities and rural areas is substantial, with central schools like KVS and NVS performing better in AI adoption


Industry partnerships are needed to help create AI-enabled teachers and provide mentorship to students on ethical technology use


Topics

Artificial intelligence | The enabling environment for digital development | Capacity development


Takeaways

Key takeaways

AI adoption in Indian education is rapidly growing with nearly 50% of private school students using AI tools multiple times per week, though primarily as a supplementary tool rather than replacement for traditional teaching


Students overwhelmingly prefer human interaction and traditional learning methods over AI tutors, indicating AI’s role should be assistive rather than substitutive


Major infrastructure challenges exist with only 4 lakh out of 15 lakh schools having necessary technology, creating significant digital divide between urban and rural areas


Language barriers are a fundamental challenge in Indian education that AI can help address through local language translation and content delivery


Educational institutions need complete reimagining rather than just reforms, moving from mass standardization to individualized, student-based education using AI capabilities


Teacher training and professional development must be prioritized to make educators AI-literate and transform their roles to mentors and learning facilitators


Ethical use of AI is crucial – institutions must teach students what AI is and how to use it responsibly rather than just technical skills


Integration between school and higher education systems is essential for creating a cohesive educational ecosystem


India has the potential to become a global AI leader and transform its economy through proper educational technology implementation


Resolutions and action items

CPRG to release upcoming report on ‘Future of Jobs’ next month focusing on future skills and job transformations


NCT implementing NPST (National Professional Standards for Teachers) and NMM (National Mentoring Mission) on digital platforms with AI assistance


School education introducing AI curriculum from grade 3 to teach ethical AI use and awareness


IIT Madras hosting AI COE in education to bring together schools, higher education institutions, and private players


Universities to reach out to 100 schools each for regular interaction and collaboration (example: COEP University in Pune)


CBSE working on AI-based assessment of class 12 answer scripts as beginning of technology integration in evaluation


Development of AI-powered local language solutions for voice-to-voice translation on devices without internet connectivity


Creation of integrated approach between school and higher education departments for AI implementation


Unresolved issues

How to bridge the massive digital divide between urban and rural schools lacking basic technology infrastructure


Addressing AI hallucination and accuracy issues, particularly in logical and numerical subjects


Ensuring equitable access to AI technology across diverse socioeconomic backgrounds and geographical locations


Developing comprehensive teacher training programs to make 1 crore teachers AI-literate


Creating standardized AI curriculum and assessment methods across different state education systems


Balancing AI adoption with preservation of creativity and critical thinking skills among students


Establishing regulatory frameworks for ethical AI use in education while promoting innovation


Determining optimal integration timeline and methodology for AI across different educational levels


Addressing concerns about AI dependency and its impact on fundamental learning processes


Suggested compromises

AI should be treated as a tool requiring human supervision rather than autonomous educational solution


Implement gradual AI integration starting with awareness and ethical use education before technical skills


Focus on local content and language-specific AI solutions to address cultural and linguistic diversity


Combine traditional teaching methods with AI supplementation rather than complete replacement


Develop public-private partnerships where industry provides mentorship and technology while education institutions maintain pedagogical control


Create tiered implementation approach where well-equipped urban schools pilot AI programs before scaling to rural areas


Balance standardization needs with individualized learning approaches enabled by AI


Integrate AI spine throughout curriculum while maintaining subject-specific traditional teaching methods where appropriate


Thought provoking comments

AI is fortunately being adopted by the youngsters even faster… Only thing which one has to see is… Let’s make sure it supplements our creativity. It does not give us a shortcut to creativity and thereby reduce our creativity powers. That is a challenge which we have to face in academics.

Speaker

Professor K. K. Aggarwal


Reason

This comment introduces a crucial philosophical distinction between AI as a tool for enhancement versus replacement. It shifts the focus from technical capabilities to the fundamental question of human creativity and intellectual development, highlighting a core educational challenge.


Impact

This comment established a recurring theme throughout the discussion about AI as a supplement rather than replacement. Multiple subsequent speakers referenced this concept, with Pankaj Arora later stating ‘AI can assist. AI cannot be a master’ and others emphasizing the importance of human oversight and ethical use.


This is not the time for doing the reforms in the higher education system. It’s like reimagining… We need a higher education system, we need a general education system which can give an exponential bump to India’s story and that’s not going to be the normal system.

Speaker

Suresh Yadav


Reason

This comment reframes the entire discussion by arguing that incremental reform is insufficient – what’s needed is complete reimagining. It connects educational transformation to national economic potential, suggesting India could be a $70-150 trillion economy with proper educational systems.


Impact

This shifted the conversation from tactical AI implementation to strategic national transformation. It elevated the stakes and influenced subsequent speakers to think more ambitiously about institutional change, with Patil later referencing the need for ‘huge vision’ and others discussing India’s potential to lead globally.


AI is spine of entire education system nowadays… We must transit from product only evaluation to process rich evidence of learning… AI plus education can take us towards VIXIT BHAGAL 2047.

Speaker

Pankaj Arora


Reason

This comment introduces a fundamental shift in educational assessment philosophy – moving from outcome-based to process-based evaluation. It also connects AI integration to India’s national vision for 2047, making it a patriotic imperative rather than just a technological upgrade.


Impact

This comment influenced the discussion to focus more on practical implementation strategies and national goals. Subsequent speakers began discussing specific programs, infrastructure challenges, and concrete steps toward the 2047 vision, making the conversation more actionable.


Bache ko maths or physics nahi samajh mein ata, yeh problem nahi hai. Bache ko English nahi samajh mein ata, yeh problem hai. Kyunki hamara teaching medium o bache ke language mein nahi hai.

Speaker

Aditi Nanda


Reason

This insight reframes the learning crisis in India by identifying language barriers as the root cause rather than subject difficulty. It highlights how AI’s translation capabilities could be transformative for educational equity and access.


Impact

This comment brought the discussion back to ground-level realities and practical solutions. It influenced the conversation toward discussing local language AI tools, cultural context, and the democratization of education through technology, making the discussion more inclusive and practical.


We have not to teach the subjects. We have to teach the students… let the youth assert themselves that we need these subjects to be taught for our degree. And technology enables us to do that.

Speaker

Professor K. K. Aggarwal


Reason

This comment challenges the fundamental structure of education by advocating for student-driven, personalized learning rather than standardized curriculum delivery. It suggests a complete inversion of traditional educational power structures.


Impact

This comment brought the discussion full circle to student-centricity and personalization. It influenced the final remarks of other panelists to focus on individual needs, problem-solving approaches, and the integration of different educational levels, emphasizing the human element in AI-enhanced education.


Overall assessment

These key comments fundamentally shaped the discussion by establishing three critical frameworks: (1) the philosophical tension between AI as enhancement versus replacement of human capabilities, (2) the strategic imperative to completely reimagine rather than incrementally reform educational systems, and (3) the practical focus on language barriers and student-centered learning. The conversation evolved from technical AI implementation concerns to broader questions of national transformation, educational equity, and human development. The most impactful comments consistently brought the discussion back to fundamental questions about the purpose of education and India’s aspirations, creating a rich dialogue that balanced technological possibilities with human values and practical constraints.


Follow-up questions

How can AI tools be improved to reduce hallucination and increase accuracy, particularly for logical and numerical subjects?

Speaker

Pranav Gupta


Explanation

The report findings showed that students regularly encounter AI hallucination and reported lower accuracy for logical/numerical subjects, indicating a critical need for technical improvements


How can adaptive learning capabilities be enhanced in AI tools to better address individual student needs?

Speaker

Pranav Gupta


Explanation

Students reported that current AI tools are not providing solutions specific to their individual needs, suggesting a gap in personalized learning capabilities


What strategies can ensure equitable AI access across diverse educational institutions from urban centers like Delhi to rural areas like Jhabua?

Speaker

Dr. Ramanand Nand


Explanation

The discussion highlighted significant disparities in resources, technology access, and infrastructure needed for AI implementation across India’s diverse educational landscape


How can AI curriculum and teacher training be standardized and scaled across India’s 15 lakh schools with varying levels of technological readiness?

Speaker

Ananda Vishnu Patil


Explanation

With only 4 lakh schools having ICT infrastructure and diverse levels of AI literacy among 1 crore teachers, systematic scaling remains a major challenge


What assessment and evaluation methods need to be developed for AI-enhanced learning environments?

Speaker

Pankaj Arora


Explanation

Current assessment methods may not be adequate for evaluating learning in AI-integrated educational settings, requiring new evaluation frameworks


How can AI tools be developed to better preserve and promote Indian knowledge systems, languages, and cultural contexts?

Speaker

Pankaj Arora


Explanation

There’s a need to move beyond Western-centric AI models to create tools that reflect Indian traditions, languages, and knowledge systems


What research ethics frameworks need to be established for AI use in education, particularly regarding appropriate versus inappropriate use cases?

Speaker

Pankaj Arora


Explanation

The discussion highlighted concerns about over-reliance on AI for tasks that require human creativity and emotion, necessitating clear ethical guidelines


How can the integration between school education, higher education, and industry be systematically improved using AI and technology?

Speaker

Suresh Yadav


Explanation

Current educational systems work in silos, and research is needed on how AI can facilitate better integration across educational levels and with industry


What models can be developed for problem-based, skill-oriented education systems that leverage AI capabilities?

Speaker

Suresh Yadav


Explanation

Moving from traditional degree-based to problem-solving, skill-based education requires new pedagogical models and implementation strategies


How can local, on-device AI solutions be scaled to provide 24/7 tutoring support in regional languages without internet dependency?

Speaker

Aditi Nanda


Explanation

While promising solutions exist for offline, localized AI tutoring, research is needed on scaling these technologies across India’s diverse linguistic landscape


Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.