Conference Paper2025Cited by 1

AI Tools in Education: Investigating University Students’ Motivations, Institutional Policies, and Ethical Considerations in Bangladesh

Mohaymen Ul Anam, Mukit Mahdin, Maheen Mashrur Hoque, Ajwad Abrar Mostofa, Sadik Yasin Eftee, Ashraful Islam, M Ashraful Amin

Proceedings of the 37th Australian Conference on Human-Computer Interaction

ACM, pp. 974-981

  • Quality Education — Relevance: 90%
DOI: 10.1145/3764687.3769951Open AccessURL

Abstract

This study investigates the motivations, barriers, and ethical considerations surrounding the adoption of generative AI tools, such as ChatGPT, in higher education, focusing on 849 students from 26 Bangladeshi universities. A survey was conducted to gather data, and ANOVA and Chi-square tests were applied to examine students’ motivations, perceptions of AI tool transparency and fairness, and attitudes toward AI ethics courses. Findings reveal that students primarily use AI tools to improve the quality of their work and manage academic tasks efficiently, despite challenges such as performance delays and limited flexibility. Restrictive institutional policies were associated with increased instances of unethical AI use, whereas perceptions of AI transparency and fairness had no significant effect on support for AI ethics courses. Based on these insights, the study provides the first empirical policy recommendations for Bangladeshi universities, addressing technical, regulatory, and ethical dimensions essential for the responsible integration of AI tools in academic settings.

Keywords

  • Bangladesh
  • ChatGPT
  • generative AI in education
  • institutional AI policies
  • AI adoption barriers
  • university students
  • student motivation
  • AI ethics education
  • higher education

CCDS Authors

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

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Cited By

  1. 1.Joram Bwambale. (2026). Shadow AI Usage as an Emerging Insider Threat in Secondary Schools. International Journal of Scientific Research and Modern Technology., 24[10.38124/ijsrmt.v5i5.1406]
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