Artificial Intelligence and their Learning Experiences in Public University: Postgraduates’ Students’ Perceptions
Artificial intelligence (AI) has been emerging in nowadays world.The use of AI has always been wonders in helping the postgraduate students in higher learning institutions.How are they being dependent on the use of AI. and to what extent is the level of dependence towards learning experience among postgraduates' students.There is less study being conducted on their interdependence among postgraduates' students.Therefore, this study was conducted with the objective to identify the level of the preference of learning experience and preference of dependence on AI among postgraduates' students.The methodology of the study is to use a quantitative approach and survey study design using an adapted questionnaire.This instrument was distributed to 67 respondents among postgraduates in public university.SPSS version 29 was utilized for data analysis.The findings show that there is a significant relationship between the level of the preference of learning experience and preference of dependence on AI among postgraduates' students and is on a very high scale.But the use of AI in education also brings up moral issues including prejudice, privacy, and the influence on values and beliefs.For the best outcomes, the ethical implications of implementing AI in education must be carefully considered.Based on the limitations of the study, it is suggested that future research will include studies with a bigger number of participants and a much wider selection of universities in public and private institutions.
Authors
- Mohd Jasmy Abdul Rahman
- M. Khalid M. Nasir (ORCID: https://orcid.org/0000-0002-2859-8775)
- Hairol Othman (ORCID: https://orcid.org/0000-0002-5807-2467)
- Siti Nurqualbiah Mat Karim (ORCID: https://orcid.org/0009-0008-7267-7914)
- N Abidin
Publication Details
- Journal
- International Journal of Academic Research in Business and Social Sciences
- Published
- 2025-09-27
- DOI
- https://doi.org/10.6007/ijarbss/v15-i9/25898
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00