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Title:
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EFFECTIVENESS OF AI-BASED SUPPORT FOR VIDEO-BASED LEARNING FOR TEACHING EMPATHY |
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Author(s):
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Antonija Mitrovic, Raul Vincent Lumapas, Matthias Galster and Sanna K. Malinen |
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ISBN:
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978-989-8704-72-6 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2025 |
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Edition:
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Single |
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Keywords:
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Video-Based Learning, AI-Based Support for VBL Learning, Nudges, AVW-Space |
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Type:
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Full Paper |
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First Page:
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61 |
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Last Page:
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68 |
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Language:
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English |
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Cover:
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Full Contents:
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Paper Abstract:
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Video-based learning (VBL) is widely used due to its flexibility and accessibility. However, only watching videos results in shallow learning, and therefore there has been much research on providing support for engagement in VBL. In this paper, we present our VBL platform and the results of a study performed in two consecutive years in the same software engineering course, on team empathy. In 2023, students received simple support for engagement, shown as reminders to write comments on videos for students who have not written any. In 2024, we added AI-based support consisting of three parts: 1) students' comments were classified into quality categories; 2) students received nudges in response to the quality of comments they have written, and 3) explanations of how comment quality was determined were available. The results of the study show that the 2024 students, who had AI-based support, learnt more about empathy. They also had positive opinions of the explanations of comment quality. |
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