Detecting Learning Affect in E-Learning Platform Using Facial Emotion Expression-Reference-Cited by-同舟云学术

Detecting Learning Affect in E-Learning Platform Using Facial Emotion Expression

Published:2020-08-01 Issue: Volume: Page:217-225
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Zakka Benisemeni Esther,Vadapalli Hima

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-49345-5_23

Reference19 articles.

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2. Horton, W.K.: Leading e-learning. American Society for Training and Development (2001)

3. Sathik, M., Jonathan, S.G.: Effect of facial expressions on student’s comprehension recognition in virtual educational environments. SpringerPlus 2(1), 455 (2013)

4. Willging, P.A., Johnson, S.D.: Factors that influence students’ decision to dropout of online courses. J. Asynch. Learn. Networks 13(3), 115–127 (2009)

5. Brown, K.M.: The role of internal and external factors in the discontinuation of off-campus students. Dist. Educ. 17(1), 44–71 (1996)

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1. Toward an artificial intelligence-based decision framework for developing adaptive e-learning systems to impact learners’ emotions;Interactive Learning Environments;2023-03-23

2. FERMOUTH: Facial Emotion Recognition from the MOUTH Region;Image Analysis and Processing – ICIAP 2023;2023

3. Automatic facial emotion recognition at the COVID-19 pandemic time;Multimedia Tools and Applications;2022-10-22

4. Automatic Emotion Recognition from Facial Expressions when Wearing a Mask;CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter;2021-07-11