Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods
Abstract Background Recognizing learners’ engagement during learning processes is important for providing personalized pedagogical support and preventing dropouts. As learning processes shift from traditional offline classrooms to distance learning, methods for automatically identifying engagement l...
Main Authors: | Shofiyati Nur Karimah, Shinobu Hasegawa |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-11-01
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Series: | Smart Learning Environments |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40561-022-00212-y |
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