Enhancing Moocs with AI
ABSTRACTThis article presents the experiences and insights gained from designing and delivering a series of MassiveOpen Online Courses (MOOCs) at the Federal University of São Paulo's Outreach Program, with a focus onintegrating artificial intelligence (AI) tools into course development, delivery, and assessment. We followed theKolb Experiential Learning Cycle to continuously enhance the quality of the courses and adopted a convergentparallel mixed-methods approach for data collection and analysis. Our findings are based on a detailed analysisof the data, reflecting on what was successful, what challenges were encountered, and what improvementscould be made. The article also suggests further enhancements, such as more inclusive course design and wideradoption of AI-driven instructional and marketing tools. These findings contribute to the ongoing dialogueabout improving MOOCs through AI, offering practical insights for educators in the AI and OER community
Institutions
- Universidade Federal de São Paulo (BR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-11-26
- DOI
- https://doi.org/10.5281/zenodo.14873480
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00