Understanding Flow Experience in Video Learning by Multimodal Data-Reference-Cited by-同舟云学术

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Understanding Flow Experience in Video Learning by Multimodal Data

Published:2023-02-23 Issue: Volume: Page:1-15
ISSN:1044-7318
Container-title:International Journal of Human–Computer Interaction
language:en
Short-container-title:International Journal of Human–Computer Interaction

Author:

Wang Yankai¹,Chen Bing²,Liu Hongyan¹^ORCID,Hu Zhiguo³⁴

Affiliation:

1. Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, P. R. China

2. Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, P. R. China

3. Center for Cognition and Brain Disorders, Affiliated Hospital of Hangzhou Normal University, Hangzhou, P. R. China

4. Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, P. R. China

Funder

Zhejiang Provincial Philosophy and Social Science Research Project of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics

Link

https://www.tandfonline.com/doi/pdf/10.1080/10447318.2023.2181878

Reference55 articles.

1. Motivation and cognitive load in the flipped classroom: definition, rationale and a call for research

2. The concept of flow in collaborative game-based learning

3. A framework for physiological indicators of flow in VR games: construction and preliminary evaluation

4. Multimodal Learning Analytics and Education Data Mining: using computational technologies to measure complex learning tasks

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A framework for neurophysiological experiments on flow states;Communications Psychology;2024-07-18

2. The Impact of MR on Preservice Teachers’ Creativity and Performance in Instructive Task Designs;International Journal of Human–Computer Interaction;2023-11-28

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