09/05/2026
How AI Is Transforming Higher Education in. . Bangladesh
By Professor MD SHAMSUZZOHA
Head of the Department of Economics, Rajshahi Govt. Women's College.
The integration of Artificial Intelligence into Bangladesh’s higher education system is no longer a future possibility—it is already happening, although unevenly. Across universities, from Dhaka to Rajshahi, teachers and students are beginning to experiment with AI tools in ways that are quietly reshaping classroom culture, academic expectations, and even the relationship between educators and learners.
The government’s broader push toward digital transformation has certainly created momentum. Still, the reality inside many universities is more complicated than official narratives often suggest. In some institutions, AI adoption is driven by policy and funding. In others, it is happening informally, through curious teachers, tech-savvy students, and small-scale experimentation.
What is becoming increasingly clear is that AI is not simply adding new tools to higher education. It is gradually changing how learning itself is approached.
Beyond the Lecture Hall: Adaptive Learning and Student Support
In Bangladesh’s public universities, large class sizes have long made personalized teaching difficult. In practice, many instructors are forced to teach at an average pace that leaves some students behind while failing to fully challenge others.
This is one area where AI may prove genuinely useful.
We are already seeing students use AI-powered language and learning tools to bridge gaps that traditional classrooms often struggle to address. For many students coming from rural districts or Bangla-medium backgrounds, the transition into English-heavy university environments can be overwhelming. Technical vocabulary alone can become a barrier to participation.
AI tools are helping some students practice writing, summarize difficult readings, and improve comprehension privately and at their own pace. That matters more than it may initially appear. In crowded classrooms, many students hesitate to ask questions because they fear embarrassment or judgment. AI creates a low-pressure environment where students can experiment, make mistakes, and learn independently.
In that sense, the technology is functioning less as a “replacement teacher” and more as an invisible academic support system.
The Infrastructure Problem We Often Ignore
Much of the public discussion around AI assumes that institutions are equally prepared to adopt advanced technologies. The reality, however, is far more uneven.
Private universities such as North South University and BRAC University generally have stronger financial capacity, better internet infrastructure, and easier access to licensed software platforms. Public universities, especially outside major urban centers, often operate under tighter resource constraints.
If these inequalities are ignored, AI could unintentionally deepen existing educational divides.
In developing countries like Bangladesh, the real challenge is not simply purchasing software subscriptions. It is building the infrastructure that allows meaningful participation in digital education—reliable internet access, affordable devices, localized digital resources, and institutional training.
Without those foundations, conversations about “AI transformation” risk becoming overly urban and overly elite.
The Changing Role of the Teacher
Perhaps the most sensitive issue surrounding AI in higher education is faculty anxiety.
Many educators worry—understandably—that AI tools will encourage plagiarism or weaken critical thinking. And to some extent, those concerns are valid. Universities are still trying to determine where assistance ends and academic dishonesty begins.
At the same time, many teachers are already adapting. Some are using tools such as Turnitin, ChatGPT, and Grammarly not as replacements for teaching, but as support tools for lesson planning, feedback, and language improvement.
This shift raises an uncomfortable but necessary question: if a student can complete an assessment entirely through AI assistance, was the assessment truly measuring meaningful understanding in the first place?
For decades, much of higher education in South Asia has relied heavily on memorization-based evaluation. AI is exposing the limitations of that model rather quickly.
The more relevant skill now may be the ability to evaluate information critically, verify sources, ask better questions, and improve imperfect AI-generated output. These are increasingly practical workplace skills, especially in Bangladesh’s growing technology and outsourcing sectors.
The “AI-proof” teacher, therefore, may not be the one who bans AI completely. More likely, it will be the educator who learns how to integrate it responsibly while still preserving intellectual rigor.
Ethical Questions Bangladesh Cannot Ignore
There is also an ethical dimension that deserves more serious attention.
Many developing countries, including Bangladesh, are importing conversations about AI ethics from Western institutions without fully considering local realities. But the social and economic context here is very different.
Suppose universities begin using AI systems to monitor student performance or identify students who may be at risk of dropping out. On paper, that may sound efficient. In reality, however, students in Bangladesh often face challenges that algorithms may fail to interpret properly—financial instability, family pressure, part-time work responsibilities, or inconsistent internet access.
If the underlying data lacks social context, AI systems may unintentionally misclassify vulnerable students rather than support them.
This is why Bangladesh needs its own framework for AI governance in education. Data privacy, fairness, transparency, and accountability cannot simply be copied from foreign policy documents. They need to reflect local educational realities.
The role of institutions such as the University Grants Commission will become increasingly important in the coming years.
Final Thoughts
The early phase of AI adoption in Bangladesh’s universities has been messy, experimental, and at times confusing. Yet the momentum is undeniable. Students are already integrating AI into their academic lives, whether institutions are fully prepared or not.
The bigger question now is not whether AI will become part of higher education. It already has.
The real issue is whether universities can adapt thoughtfully enough to ensure that technology strengthens learning rather than weakening intellectual independence.
Bangladesh does not simply need graduates who know how to use AI tools. It needs graduates who can question them, challenge them, and think beyond them.
That distinction may ultimately matter more than the technology itself.
References
Hasan, M. M., & Mehnaz, M. (2026). Artificial Intelligence in personalized language learning: Benefits, attitudes, and motivation of Bangladeshi higher education EFL students. LLT Journal: A Journal on Language and Language Teaching, 29(1), 318–334.
Munni, B. E., & Rafique, R. (2025). Teachers' experiences of using AI-powered technologies in Bangladeshi English language classrooms. Spectrum, 18(1), 89–100.
Akter, N., et al. (2025). Transforming Bangladeshi academia with AI: Usage areas, platforms, and innovative solutions. The Faculty Journal of Arts, Rajshahi University, Special Volume-6, 444–460.
Bumi Publikasi Nusantara. (2026). Empowering academic communities through AI literacy. ASEAN Journal of Community Service and Education, 15(1).
