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Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models.

, , , , , and . IEEE Trans. Learn. Technol., 16 (5): 648-663 (October 2023)

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Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models., , , , , and . IEEE Trans. Learn. Technol., 16 (5): 648-663 (October 2023)Measuring emotions during learning: lack of coherence between automated facial emotion recognition and emotional experience., , , and . Open Comput. Sci., 9 (1): 308-317 (2019)A comparison of students' emotional self-reports with automated facial emotion recognition in a reading situation., , , , and . TEEM, page 320-327. ACM, (2018)Group Decision-Making in Multi-User Immersive Virtual Reality., , , , and . Cyberpsychology Behav. Soc. Netw., 23 (12): 846-853 (2020)Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models., , , , , and . CoRR, (2022)Work-in-Progress - Designing a Multi-User Virtual Reality Environment for Conversational Skills Training of Dietetic Students., and . iLRN, page 301-304. IEEE, (2020)Work-in-Progress-Motion Tracking Data as a Proxy for Cognitive Load in Immersive Learning., , , and . iLRN, page 1-3. IEEE, (2022)Is Reading Mirrored in the Face? A Comparison of Linguistic Parameters and Emotional Facial Expressions., , , and . SwissText, volume 2226 of CEUR Workshop Proceedings, page 82-91. CEUR-WS.org, (2018)