Exploring students’ perceptions and experiences of adopting generative artificial intelligence in OER-enabled pedagogy
With the increasing adoption of generative artificial intelligence (GenAI) in higher education, this qualitative research aimed to explore students’ perceptions and experiences of using GenAI in OER-enabled pedagogical practices. We collected qualitative data from multiple sources, including online surveys, individual interviews, reflection essays, and chat transcripts. Eighteen students from two graduate-level courses participated in this study. The research findings showed that students perceived the use of GenAI in OER-enabled pedagogy favourably and encountered both opportunities and challenges. Guided by the Five-Circle Framework, four themes emerged to address students’ perceived opportunities, including 1) GenAI as a personal learning assistant to produce adaptive open knowledge, 2) GenAI as a co-creator of contextually diverse OERs, 3) OER-enabled participatory practices to increase AI acceptance and readiness, and 4) student agency to develop higher-order thinking skills. They also experienced some challenges and concerns, including 1) multifaceted inequality issues and barriers, 2) technical deficiencies and distrust of GenAI, 3) the lack of human elements and interactions, and 4) the limitations of adopted OERs. We concluded by discussing the implications of adopting GenAI to enhance the effectiveness of OER-enabled pedagogy from the macro, meso, and micro perspectives.
Authors
- Tian Luo (ORCID: https://orcid.org/0000-0002-8138-3722)
- Xinyue Ren (ORCID: https://orcid.org/0000-0002-1042-0100)
- Rita Detrick (ORCID: https://orcid.org/0009-0000-5610-2864)
Institutions
- Dominion University College (GH)
- Old Dominion University (US)
Publication Details
- Journal
- Open Learning The Journal of Open Distance and e-Learning
- Published
- 2026-06-29
- DOI
- https://doi.org/10.1080/02680513.2026.2692919
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00