Analysing adaptive scaffolds that help students develop <scp>self‐regulated</scp> learning behaviours-Reference-Cited by-同舟云学术

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Analysing adaptive scaffolds that help students develop self‐regulated learning behaviours

Published:2022-12-13 Issue:2 Volume:39 Page:351-368
ISSN:0266-4909
Container-title:Journal of Computer Assisted Learning
language:en
Short-container-title:Computer Assisted Learning

Author:

Munshi Anabil¹^ORCID,Biswas Gautam¹,Baker Ryan²,Ocumpaugh Jaclyn³,Hutt Stephen³^ORCID,Paquette Luc⁴

Affiliation:

1. Institute for Software Integrated Systems Vanderbilt University Nashville Tennessee USA

2. Graduate School of Education University of Pennsylvania Philadelphia Pennsylvania USA

3. Penn Center for Learning Analytics University of Pennsylvania Philadelphia Pennsylvania USA

4. Department of Curriculum & Instruction University of Illinois at Urbana‐Champaign Champaign Illinois USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Computer Science Applications,Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcal.12761

Reference61 articles.

1. Scaffolding Self-regulated Learning and Metacognition – Implications for the Design of Computer-based Scaffolds

2. Azevedo R. Taub M.&Mudrick N. V.(2017).Understanding and reasoning about real‐time cognitive affective and metacognitive processes to foster self‐regulation with advanced learning technologies.

3. Baker R. Corbett A. &Koedinger K.(2004).Detecting student misuse of intelligent tutoring systems. InProceedings of the 7th International Conference on Intelligent Tutoring Systems(pp. 531–540).

4. Bannert M. Molenaar I. Azevedo R. Järvelä S. &Gašević D.(2017).Relevance of learning analytics to measure and support students' learning in adaptive educational technologies. InProceedings of the Seventh International Learning Analytics & Knowledge Conference(pp. 568–569). ACM.

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2. Memory-Based Dynamic Bayesian Networks for Learner Modeling: Towards Early Prediction of Learners’ Performance in Computational Thinking;Education Sciences;2024-08-21

3. Artificial intelligence for teaching and learning in schools: The need for pedagogical intelligence;Computers & Education;2024-08

4. Examining students' self‐regulated learning processes and performance in an immersive virtual environment;Journal of Computer Assisted Learning;2024-08

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