Exploring the Potential of Generative AI for Academic Support in Open and Distance Learning: A Case Study of Learner Experiences
International Review of Research in Open and Distributed Learning, cilt.27, sa.2, ss.67-82, 2026 (SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 27 Sayı: 2
- Basım Tarihi: 2026
- Doi Numarası: 10.19173/irrodl.v27i2.9289
- Dergi Adı: International Review of Research in Open and Distributed Learning
- Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Education Abstracts, ERIC (Education Resources Information Center), Directory of Open Access Journals
- Sayfa Sayıları: ss.67-82
- Anahtar Kelimeler: academic support, generative AI, learner experiences, open and distance learning
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Anadolu Üniversitesi Adresli: Evet
Özet
This exploratory case study provides an in-depth analysis of the potential of generative artificial intelligence (GenAI) to enhance academic support in open and distance learning (ODL) systems. The study examined learner experiences with a GenAI-based academic support application in an online web publishing course over a semester, focusing on two phases: free use and structured use. Data were collected through semi-structured interviews and dialogue transcripts from 10 distance learners. Findings highlighted both continuity and transformation in learner practices. In both phases, GenAI was valued for time-saving and accurate responses aligned with course materials. Structured tasks in phase 2 encouraged more purposeful engagement, including systematic self-assessment and information verification. Despite technical challenges such as device incompatibility and occasional hallucinations, learners expressed motivation, satisfaction, and a demand for institutional integration. The results, while preliminary, suggest that GenAI-based academic support holds strong potential for broader implementation in large-scale open universities, offering a pathway to balancing quality, access, and cost in addressing the enduring challenges of mass higher education.