ChatGPT Applications in Active Learning in Higher Education: A Restricted Systematic Review
The active learning approach is promising in increasing students’ engagement and providing opportunities for practising higher-order thinking skills. However, its application in higher education is associated with some challenges, including institutional, pedagogical, and technological. The applications of Artificial Intelligence can mitigate some of these challenges. The paper at hand reports a restricted systematic review that aims to revise the current experiences of integrating AI applications into higher education, focusing on ChatGPT. Exploring the Scopus database using the keywords (ChatGPT) AND (Active) AND (Learning) AND (Higher) AND (Education) resulted in 13 publications. The review highlights the advantages of integrating ChatGPT with active learning but points out a lack of knowledge regarding how to quantify the effectiveness of this integration. The findings highlight ChatGPT's potential to enhance active learning by addressing pedagogical challenges and the need for standardised frameworks to measure effectiveness. The study also stresses the importance of ethical governance and interdisciplinary collaboration for the fair integration of AI in higher education.
Authors
- Hossam F. H. Abdelfattah (ORCID: https://orcid.org/0000-0001-8622-4723)
- Dalal Al Khatri (ORCID: https://orcid.org/0000-0002-3237-3931)
- Nasser Al-Azri
- Raya Hamed Hilal Al Maamari (ORCID: https://orcid.org/0009-0003-1355-9380)
- Hanan Al-Khatri (ORCID: https://orcid.org/0000-0002-0886-7253)
Institutions
- Sultan Qaboos University (OM)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.4995/head25.2025.20029
- Citations
- 1
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 1.36