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Fitbit for learning: Towards capturing the learning experience using wearable sensing.
International Journal of Human-Computer Studies, (2020): 102384
•We propose using wearable sensing to capture students' perceived learning.•Data from 31 students in 93 class sessions were collected.•We apply machine learning to infer students’ perceived learning.•Wearable data predict students' perceived learning with 11% error.•6.25 min of data is needed to achieve a reliable estimate (13.8% error).
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