Enhancing Student Learning in Scrum Projects with Generative AI Assistance

This article focuses on integrating generative AI tools, particularly ChatGPT and Bard, into Scrum framework education to enhance student learning and collaboration. Drawing from feedback obtained from students, the study compares the effectiveness of these tools, highlighting ChatGPT's detailed responses and Bard's conciseness. Despite students' overall satisfaction with GAI integration, they highlighted the irreplaceable role of human educators. Areas for improvement include addressing technical issues and enhancing GAI adaptability. The students' recommendations include utilizing GAI for various tasks and providing clearer prompts and training. Moving forward, the focus should be on improving GAI tools to better comprehend context and adaptability, and exploring collaborative learning approaches. To evaluate the impact of GAI integration on student outcomes, long-term studies must be conducted. In summary, while generative AI has potential to enhance Scrum education, its incorporation should be balanced with human guidance to create dynamic and effective learning environments.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/ithet61869.2024.10837605
Citations
1
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.18
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article

Enhancing Student Learning in Scrum Projects with Generative AI Assistance

Khalid Nafil, Meryem Boubakri
1 citations
Biomedical and Engineering Education
0.18
article

Enhancing Student Learning in Scrum Projects with Generative AI Assistance

Khalid Nafil, Meryem Boubakri
article en
1 citations

Abstract

This article focuses on integrating generative AI tools, particularly ChatGPT and Bard, into Scrum framework education to enhance student learning and collaboration. Drawing from feedback obtained from students, the study compares the effectiveness of these tools, highlighting ChatGPT's detailed responses and Bard's conciseness. Despite students' overall satisfaction with GAI integration, they highlighted the irreplaceable role of human educators. Areas for improvement include addressing technical issues and enhancing GAI adaptability. The students' recommendations include utilizing GAI for various tasks and providing clearer prompts and training. Moving forward, the focus should be on improving GAI tools to better comprehend context and adaptability, and exploring collaborative learning approaches. To evaluate the impact of GAI integration on student outcomes, long-term studies must be conducted. In summary, while generative AI has potential to enhance Scrum education, its incorporation should be balanced with human guidance to create dynamic and effective learning environments.

Mohammed V University (MA)
Openalex Percentile: Top 49%
Biomedical and Engineering Education
0.18
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Enhancing Student Learning in Scrum Projects with Generative AI Assistance — Khalid Nafil, Meryem Boubakri · (2024) | TGRS Research Map | TGRS