Volume 9 - Issue 2 (4) | PP: 71 - 82
Language : English
DOI : https://doi.org/10.31559/BAES2024.9.2.4
DOI : https://doi.org/10.31559/BAES2024.9.2.4
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University EFL Teachers’ Perceptions About the Effectiveness of AI-Enhanced E-Assessments in Bangladesh: A Phenomenological Study
Received Date | Revised Date | Accepted Date | Publication Date |
24/10/2024 | 12/11/2024 | 26/11/2024 | 10/12/2024 |
Abstract
Objectives: This study aimed to determine the perceptions of EFL teachers' challenges. In addition, this study investigated potential solutions to mitigate the challenges experienced by EFL teachers. Methods: This research took a qualitative design and, through a purposive sampling method, selected a total of six EFL teachers from three different private universities at a tertiary level. This study collected data through an in-depth interview. Interviews were then coded and analyzed based on thematic analysis in order to identify repeated patterns and insights for a comprehensive exploration of experiences and perspectives among participants. Findings: Most of the EFL teachers in Bangladesh do not consider AI-enhanced e-assessment an effective tool to assess students, and they are skeptical about its efficiency. They prefer pen-and-paper assessment to e-assessment. Infrastructural issues, lack of IT knowledge, lack of training in AI enhanced e-assessment, being unable to prevent e-cheating, plagiarism, and health hazards were some of the major challenges while conducting AI-enhanced e-assessment. Research implications: The study strongly underlines the demand for infrastructure development, rigorous training in using artificial intelligence tools, and effective policy measures to offset e-cheating and plagiarism.
How To Cite This Article
Uddin , M. S.Islam , M. N.Nirjon , M. I. H.Hilaly , M. R.Mazed , M. F. H. & Hasan , M. M. (2024). University EFL Teachers’ Perceptions About the Effectiveness of AI-Enhanced E-Assessments in Bangladesh: A Phenomenological Study. Bulletin of Advanced English Studies, 9 (2), 71-82, 10.31559/BAES2024.9.2.4
Copyright © 2024, This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.