Modeling the physiological response of flow in groups: a mathematical approach
Abstract This paper advances in the understanding of motivation in terms of flow in groups from a physiological perspective. We use wearable devices to monitor the heart rate variation during a set of sessions of face-to-face STEAM project-based learning. By using Action Research with mixed-methods...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-03-01
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| Series: | Smart Learning Environments |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40561-025-00375-4 |
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| Summary: | Abstract This paper advances in the understanding of motivation in terms of flow in groups from a physiological perspective. We use wearable devices to monitor the heart rate variation during a set of sessions of face-to-face STEAM project-based learning. By using Action Research with mixed-methods design, we observed a set of 28 students in real-world settings during 18 classes and used both customized and commercial tools to analyze data retrieved. Based on the cognitive absorption and motivation obtained from EduFlow-scale-based physiological data, we propose mathematical models to predict the Flow that a group will experience in a teaching–learning session. Our preliminary results may challenge the central axiom of Flow Theory, while clarifies the balance hypothesis. |
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| ISSN: | 2196-7091 |