Bridging the Artificial Intelligence Skills Gap in Learning: An Undergraduate Perspective in Bangladesh
Main Article Content
Rajib Chandra Das*
Jahid Hasan Asik
Jahid Hasan
Tasfia Jahan Sifa
The rapid integration of Artificial Intelligence (AI) into higher education is reshaping teaching, learning, and research worldwide. In Bangladesh, university students are increasingly engaging with AI tools for academic purposes. This research article explores the impact of AI on higher education by examining its effects on the learning process from the perspective of undergraduate students. The study followed a quantitative, descriptive-exploratory research design, using survey questionnaires for primary data collection. The research was conducted using Google Forms among students from six universities from diverse disciplines. Survey data obtained from over 200 students across two private and two public universities. Findings reveal that a majority of respondents use AI tools frequently for academic purposes, writing assistance, and conceptual understanding. The perceived benefits include enhanced learning efficiency, improved academic skills, and access to personalized learning resources. At the same time, students articulated critical concerns regarding data privacy, ethical misuse, diminished creativity, and unequal access to advanced AI technologies. These insights highlight both the opportunities and risks of AI adoption in Bangladesh’s higher education sector. The study concludes with recommendations for integrating AI literacy into curricula, developing institutional guidelines, and inclusive use of AI.
Ali, M. M., Wafik, H. M. A., Mahbub, S., & Das, J. (2024). Gen Z and Generative AI: Shaping the Future of Learning and Creativity. Cognizance Journal of Multidisciplinary Studies, 4(10), 1–18. https://doi.org/10.47760/cognizance.2024.v04i10.001
Denny, P., Khosravi, H., Hellas, A., Leinonen, J., & Sarsa, S. (2023). Can We Trust AI-Generated Educational Content? Comparative Analysis of Human and AI-Generated Learning Resources. ArXiv Preprint. http://arxiv.org/abs/2306.10509
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Fauzi, F., Tuhuteru, L., Sampe, F., Ausat, A. M. A., & Hatta, H. R. (2023). Analysing the Role of ChatGPT in Improving Student Productivity in Higher Education. Journal on Education, 5(4), 14886–14891. https://doi.org/10.31004/joe.v5i4.2563
International Telecommunication Union. (2018). Measuring the Information Society Report 2018. International Telecommunication Union. https://www.itu.int/pub/D-IND-ICTOI
Mahatma Gandhi Institute of Education for Peace and Sustainable Development. (2018). Artificial Intelligence and the Future of Education: Exploring How Artificial Intelligence Can Take Learning to a Whole New Level. In Blue Dot (Vol. 9, pp. 1–59). UNESCO MGIEP.
McGovern, S. L., Pandey, V., Gill, S., Aldrich, T., Myers, C., Desai, C., Gera, M., & Balasubramanian, V. (2018). The new age: artificial intelligence for human resource opportunities and functions. Ernst & Young LLP. https://dl.icdst.org/pdfs/files3/b0e43e1a23f1fca3c97b551f138c196c.pdf
Pedró, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. In Working Papers on Education Policy (Vol. 7, pp. 1–46). UNESCO.
Saoud, J., & Jung, T. (2018). An Ethical Perspective of the use of AR Technology in the Tourism Industry. In Augmented Reality and Virtual Reality (pp. 33–46). Springer. https://doi.org/10.1007/978-3-319-64027-3_3
Shriver, T. (2024). A New Era of Special Education Begins with Inclusive AI. Time. https://time.com/7018588/special-olympics-ai-idd-artificial-intelligence/
Syarifudin, A. S. (2024). Challenges and Opportunities for the Application of AI in Language Learning in Indonesia. Transformational Language Literature and Technology Overview in Learning (Transtool), 3(1), 49–60. https://doi.org/10.55047/transtool.v3i1.1351
U.S. Department of Education Office of Educational Technology. (2023). Artificial Intelligence and the Future of Teaching and Learning. U.S. Department of Education Office of Educational Technology. https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf
Wahid-Uz-Zaman, M. (2019). Bracing Artificial Intelligence for Socio-Economic Development: Opportunities, Implications, and Challenges for Bangladesh. NDC E-JOURNAL, 18(1), 1–22. https://ndcjournal.ndc.gov.bd/ndcj/index.php/ndcj/article/view/250
Wang, Y. (2021). An improved machine learning and artificial intelligence algorithm for classroom management of English distance education. Journal of Intelligent & Fuzzy Systems, 40(2), 3477–3488. https://doi.org/10.3233/JIFS-189385
World Bank. (2019). World Development Report 2019: The Changing Nature of Work. World Bank Publications. https://www.worldbank.org/en/publication/wdr2019
Youngstown State University. (2023). How AI Impacts Curriculum Design. Youngstown State University. https://online.ysu.edu/degrees/education/msed/curriculum-instruction-digital-teaching/how-ai-impacts-curriculum-design/
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
Zheng, G. (2020). The Optimization and Application of Blended Teaching Based on Artificial Intelligence. 2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 71–74. https://doi.org/10.1109/AEMCSE50948.2020.00023
