Impact of AI Chatbots in the Education Sector of Bangladesh

Authors

  • Ahmad Asif Sami Department of Business Administration, East West University, Dhaka, Bangladesh
  • Tasneema Afrin Institute of Business Administration, University of Dhaka, Dhaka, Bangladesh

DOI:

https://doi.org/10.54536/ajet.v5i2.7335

Keywords:

AI in Education, Bangladesh, ChatGPT, Educational Technology, Gemini

Abstract

The rapid global adoption of AI chatbots has prompted growing interest in their role in education. However, most existing research comes from developed countries, leaving a significant gap in our understanding of how these tools are being adopted in contexts shaped by socio-economic inequality, gender disparities, and uneven access to technology. Bangladesh represents one such context, where empirical research on AI chatbot adoption and its academic implications among university students remains very limited. This study addresses that gap using a mixed methods design, combining semi-structured interviews with a cross-sectional survey of 297 university students selected through convenience sampling. The findings reveal that factors like computer ownership, comfort with technology, and gender significantly shape who adopts AI chatbots and how often. Among those who do, using chatbots for study assistance, exam practice, and accessing correct answers is significantly linked to improved academic performance. These results extend the Technology Acceptance Model to a developing country setting by surfacing equity-related barriers that standard adoption frameworks do not capture. The findings point to a clear need for digital literacy programs aimed at female and lower-income students, better integration of chatbots into exam preparation, and policies that make AI tools more accessible across all socio-economic groups in Bangladesh.

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Published

2026-06-04

How to Cite

Sami, A. A. ., & Afrin, T. . (2026). Impact of AI Chatbots in the Education Sector of Bangladesh. American Journal of Education and Technology, 5(2), 28-41. https://doi.org/10.54536/ajet.v5i2.7335

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