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AI in higher education

Posted By: Hari Ram Posted On: May 07, 2026Share Article
AI in higher education
AI in higher education: Beyond the hype, where it actually works

AI in higher education: Beyond the hype, where it actually works

AI in higher education: Beyond the hype, where it actually works

AI tutoring works best as a supplement to teachers, helping provide scalable educational support that many institutions struggle to offer on their own.

Published on: May 07, 2026 12:48 PM IST By HT Education Desk Share via Copy link For years, conversations about artificial intelligence in education have swung between evangelism and alarmism. At one end, sweeping claims that algorithms would personalise learning and reinvent the university. At the other, warnings that machines would erode scholarship itself. AI in higher education: Beyond the hype, where it actually works Most academics have heard both versions often enough to be skeptical. And fairly so. Much of the early promise around AI in education was overstated. Universities were told technology would transform classrooms; in many places it mostly added another layer of tools to manage. But beneath the hype cycle, something quieter is happening. In some corners of higher education, these tools are proving useful -- not as grand disruptors, but as practical solutions to stubborn problems. Student retention is one example. Universities have long known many students show warning signs before dropping out. The problem has rarely been awareness. It has been acting in time. That is where predictive systems are beginning to show value, helping advisors identify patterns earlier and intervene before students disappear from the system. That may not sound revolutionary. But in practice, it can be. The same is true of tutoring. Some of the stronger evidence around AI in education has emerged here, particularly where adaptive systems supplement (not replace) instruction. The point is not that software can substitute for a professor. It cannot. But it can offer support at scale in ways many institutions struggle to provide. Perhaps even more quietly, universities are finding value in the operational layer. Faculty overwhelmed by administrative load do not need futuristic assistants; they need help with repetitive work. Drafting feedback, managing scheduling, sorting routine queries -- these are mundane tasks, but reducing them matters. This is where much of the practical promise lies. Not in replacing teaching, but in giving educators more room to teach. Of course, none of this resolves the hardest question confronting campuses right now: academic integrity. Generative AI has unsettled assumptions about assessment faster than universities have adapted. That tension is real. Many institutions are still responding with policies built for an earlier era. But some are moving in a more interesting direction. Rather than treating every assignment as a policing exercise, they are rethinking assessment itself -- more oral examinations, more applied problem-solving, more work done in public, collaborative or iterative settings. Why should students start career planning right after Class 10? That may end up being one of AI’s more unexpected contributions: forcing universities to ask what, exactly, they are trying to measure. The institutions getting this right tend to share a common instinct. They are not chasing every new feature. They are starting with specific problems -- student support, feedback bottlenecks, assessment design -- and asking whether a tool helps. That is a very different posture from adopting technology for its own sake. It is also a more honest case for AI in higher education. Board Exams Done. What Next for Students Planning to Study Abroad? Because the strongest argument for these systems was never that they would transform education wholesale. It is that, used carefully, they can improve parts of it. And this distinction matters. Education is still shaped by human judgment, intellectual friction, mentorship, and the unpredictable moments that happen in a classroom when ideas click. No software replaces that. Nor should it. Israel’s MASHAV proposes water resource museum in Andhra What technology may do, at its best, is create more capacity for those moments. For higher education, this is less dramatic than the hype promised. But it may be far more important. (This article is written by Sumesh Nair, Co-founder, Board Infinity) ABOUT THE AUTHOR HT Education Desk For over a decade, the Hindustan Times Digital Streams – Education Desk has been a trusted source for accurate, in-depth, and timely news on education and careers. We bring the latest updates on board exams, competitive exams, results, employment news, study abroad, scholarships, and school and college admissions, helping students, job seekers, and educators make informed decisions. Our Coverage Areas 1. Board Exams & Results: Comprehensive reporting on CBSE, CISCE, and state board exams (UP, Bihar, Maharashtra, West Bengal, Rajasthan, Andhra Pradesh, Telangana, Karnataka, Tamil Nadu, and others), including schedules, admit cards, answer keys, results, and career opportunities. 2. Competitive Exams: Insights into major exams like UPSC, JEE, NEET, GATE, CAT, SAT, and state and central government services. Exam Results: Timely updates on UPSC, SSC, SBI, IBPS, NTA, IIMs, and other competitive exam results. 3. Employment News: Notifications on government and private sector jobs, vacancies, eligibility, application processes, and results. 4. Study Abroad: Information on top universities, courses, tuition fees, scholarships, visa regulations, and career prospects for international students. Features & Analysis: Opinion pieces, expert explainers, deep-dive reports, and interviews with key figures in education. 5. Breaking Education News: Real-time updates on major policy changes, institutional reforms, and trends shaping the education sector. 6. With a commitment to factual, unbiased journalism, HT Digital’s Education Desk has seen continuous growth in readership, offering credible and engaging content tailored for students, parents, and professionals. Meet the Team 1. Nilesh Mathur – News Editor A journalist with 24 years of experience, including 18+ years at Hindustan Times, Nilesh leads editorial planning, ensures factual accuracy, and enhances audience engagement through strategic content. 2. Papri Chanda – Deputy Chief Content Producer With over a decade of experience in education journalism, Papri specializes in exam-related content, study abroad insights, and education trends. She also explores new opportunities in education that benefit students. 3. Bishal – Senior Content Producer Active in the education and jobs sector since 2019, Bishal focuses on tracking developments, analyzing trends, and crafting informative content for students and job aspirants. 4. Gaurav Sarma – Deputy Chief Content Producer A multimedia journalist with 9+ years of experience, Gaurav is skilled in research-based storytelling, feature writing, and reporting on competitive exams, online courses, and education trends. At Hindustan Times Digital Streams – Education Desk, we strive to be the go-to platform for students and professionals navigating the dynamic world of education and careers.Read More Education Artificial Intelligence News/Education/Features/AI In Higher Education: Beyond The Hype, Where It Actually Works See Less News/Education/Features/AI In Higher Education: Beyond The Hype, Where It Actually Works

For years, conversations about artificial intelligence in education have swung between evangelism and alarmism. At one end, sweeping claims that algorithms would personalise learning and reinvent the university. At the other, warnings that machines would erode scholarship itself.

Most academics have heard both versions often enough to be skeptical.

And fairly so. Much of the early promise around AI in education was overstated. Universities were told technology would transform classrooms; in many places it mostly added another layer of tools to manage.

But beneath the hype cycle, something quieter is happening. In some corners of higher education, these tools are proving useful -- not as grand disruptors, but as practical solutions to stubborn problems. Student retention is one example.

Universities have long known many students show warning signs before dropping out. The problem has rarely been awareness. It has been acting in time. That is where predictive systems are beginning to show value, helping advisors identify patterns earlier and intervene before students disappear from the system.

That may not sound revolutionary. But in practice, it can be.

The same is true of tutoring. Some of the stronger evidence around AI in education has emerged here, particularly where adaptive systems supplement (not replace) instruction. The point is not that software can substitute for a professor. It cannot. But it can offer support at scale in ways many institutions struggle to provide.

Perhaps even more quietly, universities are finding value in the operational layer. Faculty overwhelmed by administrative load do not need futuristic assistants; they need help with repetitive work. Drafting feedback, managing scheduling, sorting routine queries -- these are mundane tasks, but reducing them matters.

This is where much of the practical promise lies. Not in replacing teaching, but in giving educators more room to teach.

Of course, none of this resolves the hardest question confronting campuses right now: academic integrity. Generative AI has unsettled assumptions about assessment faster than universities have adapted. That tension is real. Many institutions are still responding with policies built for an earlier era.

But some are moving in a more interesting direction. Rather than treating every assignment as a policing exercise, they are rethinking assessment itself -- more oral examinations, more applied problem-solving, more work done in public, collaborative or iterative settings.

Why should students start career planning right after Class 10?

That may end up being one of AI’s more unexpected contributions: forcing universities to ask what, exactly, they are trying to measure.

The institutions getting this right tend to share a common instinct. They are not chasing every new feature. They are starting with specific problems -- student support, feedback bottlenecks, assessment design -- and asking whether a tool helps.

That is a very different posture from adopting technology for its own sake. It is also a more honest case for AI in higher education.

Board Exams Done. What Next for Students Planning to Study Abroad?

Because the strongest argument for these systems was never that they would transform education wholesale. It is that, used carefully, they can improve parts of it. And this distinction matters.

Education is still shaped by human judgment, intellectual friction, mentorship, and the unpredictable moments that happen in a classroom when ideas click. No software replaces that. Nor should it.

Israel’s MASHAV proposes water resource museum in Andhra

What technology may do, at its best, is create more capacity for those moments. For higher education, this is less dramatic than the hype promised. But it may be far more important.

(This article is written by Sumesh Nair, Co-founder, Board Infinity)

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