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...

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Bibliographic Details
Main Authors: Shofiyati Nur Karimah, Shinobu Hasegawa
Format: Article
Language:English
Published: SpringerOpen 2022-11-01
Series:Smart Learning Environments
Subjects:
Online Access:https://doi.org/10.1186/s40561-022-00212-y