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

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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
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article

Enhancing Moocs with AI

Zenodo (CERN European Organization for Nuclear Research)
Online Learning and Analytics
article

Enhancing Moocs with AI

article en

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

Zenodo (CERN European Organization for Nuclear Research)
Universidade Federal de São Paulo (BR)
Openalex Percentile: Top 49%
Online Learning and Analytics
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