Enhancing Moocs with AI
Year: 2024
Type: article
Abstract: 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
Author: Arantes do Amaral, João Alberto
Institution: Universidade Federal de São Paulo
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6949639745
FWCI:
Cites:
Cited by:
Related to: