Cognitive load patterns affect temporal dynamics of self-regulated learning behaviors, metacognitive judgments, and learning achievements-Reference-Cited by-同舟云学术

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Cognitive load patterns affect temporal dynamics of self-regulated learning behaviors, metacognitive judgments, and learning achievements

Published:2023-12 Issue: Volume:207 Page:104924
ISSN:0360-1315
Container-title:Computers & Education
language:en
Short-container-title:Computers & Education

Author:

Wang Tingting^ORCID,Li Shan^ORCID,Tan Chengyi,Zhang Jianhua,Lajoie Susanne P.^ORCID

Funder

China Scholarship Council

Canadian Stroke Consortium

Fonds de Recherche du Québec-Société et Culture

Social Sciences and Humanities Research Council of Canada

Publisher

Elsevier BV

Subject

Education,General Computer Science

Reference104 articles.

1. Evaluation of self-regulated learning on problem-solving skills in online basic Physics learning during the COVID-19 pandemic;Abtokhi;Journal of Technology and Science Education,2021

2. Understanding the complex nature of self-regulatory processes in learning with computer-based learning environments: An introduction;Azevedo;Metacognition and Learning,2007

3. Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning;Azevedo,2018

4. Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: Issues and challenges;Azevedo;Computers in Human Behavior,2019

5. The association between motivation, affect, and self-regulated learning when solving problems;Baars;Frontiers in Psychology,2017

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2. How do students of different self-efficacy regulate learning in collaborative design activities? An epistemic network analysis approach;Frontiers in Psychology;2024-07-26

3. The relationship between students' self‐regulated learning behaviours and problem‐solving efficiency in technology‐rich learning environments;Journal of Computer Assisted Learning;2024-07-23

4. Adopting AI teammates in knowledge-intensive crowdsourcing contests: the roles of transparency and explainability;Kybernetes;2024-06-03

5. The Metacognitive Demands and Opportunities of Generative AI;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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