EngageMe: Assessing Student Engagement in Online Learning Environment Using Neuropsychological Tests-Reference-Cited by-同舟云学术

EngageMe: Assessing Student Engagement in Online Learning Environment Using Neuropsychological Tests

Published:2023 Issue: Volume: Page:148-154
ISSN:1865-0929
Container-title:Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky
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Author:

Yadav Saumya^ORCID,Siddiqui Momin Naushad^ORCID,Shukla Jainendra^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-36336-8_23

Reference16 articles.

1. Amos, B., Ludwiczuk, B., Satyanarayanan, M.: Openface: A general-purpose face recognition library with mobile applications. Tech. Rep. CMU-CS-16-118, CMU School of Computer Science (2016)

2. De Leeuw, J.: Jspsych: a javascript library for creating behavioral experiments in a web browser. Behav. Res. Methods 47, 1–12 (2014)

3. Ghassemi, F., Moradi, M.H., Doust, M.T., Abootalebi, V.: Classification of sustained attention level based on morphological features of eeg’s independent components. In: 2009 ICME International Conference on Complex Medical Engineering (2009)

4. Goldberg, P., et al.: Attentive or not? toward a machine learning approach to assessing students’ visible engagement in classroom instruction. Educ. Psychol. Rev. 33, 27–49 (2019)

5. Hutt, S., Krasich, K., R. Brockmole, J., K. D’Mello, S.: Breaking out of the lab: Mitigating mind wandering with gaze-based attention-aware technology in classrooms. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1–14 (2021)

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