ScaffoMapping: Assisting Concept Mapping for Video Learners-Reference-Cited by-同舟云学术

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ScaffoMapping: Assisting Concept Mapping for Video Learners

Published:2019 Issue: Volume: Page:314-328
ISSN:0302-9743
Container-title:Human-Computer Interaction – INTERACT 2019
language:
Short-container-title:

Author:

Zhang Shan^ORCID,Meng Xiaojun,Liu Can,Zhao Shengdong,Sehgal Vibhor,Fjeld Morten

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-29384-0_20

Reference40 articles.

1. Cloud natural language API. https://cloud.google.com/natural-language/docs

2. Edx. https://www.edx.org

3. The great noun list. http://www.desiquintans.com/nounlist

4. Khan academy. https://www.khanacademy.org

5. Ally, M.: Foundations of educational theory for online learning. Theory Pract. Online Learn. 2, 15–44 (2004)

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1. ExeVis: concept-based visualization of exercises in online learning;Journal of Visualization;2024-03-14

2. Promoting students’ higher order thinking in virtual museum contexts: A self-adapted mobile concept mapping-based problem posing approach;Education and Information Technologies;2023-06-13

3. Collaborative Online Learning with VR Video: Roles of Collaborative Tools and Shared Video Control;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

4. AdaptReview: Towards Effective Video Review Using Text Summaries and Concept Maps;Human-Computer Interaction – INTERACT 2023;2023

5. Choice Architecture for Nudges to Support Constructive Learning in Active Video Watching;International Journal of Artificial Intelligence in Education;2021-08-24

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