Visual representation fidelity and self‐explanation prompts in multi‐representational adaptive learning-Reference-Cited by-同舟云学术

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Visual representation fidelity and self‐explanation prompts in multi‐representational adaptive learning

Published:2021-04-06 Issue:4 Volume:37 Page:1091-1106
ISSN:0266-4909
Container-title:Journal of Computer Assisted Learning
language:en
Short-container-title:J Comput Assist Learn

Author:

Joo Hyun¹²,Park Jongchan¹³^ORCID,Kim Dongsik¹^ORCID

Affiliation:

1. Department of Educational Technology Hanyang University Seoul South Korea

2. Korea Institute of Human Resources Development in Science and Technology (KIRD) Chungcheongbuk‐do South Korea

3. Center for Teaching and Learning Korea University Sejong South Korea

Publisher

Wiley

Subject

Computer Science Applications,Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcal.12548

Reference67 articles.

1. An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor

2. Transitioning From Studying Examples to Solving Problems: Effects of Self-Explanation Prompts and Fading Worked-Out Steps.

3. The Effects of Idealized and Grounded Materials on Learning, Transfer, and Interest: An Organizing Framework for Categorizing External Knowledge Representations

4. Scaffolding: Definition, Current Debates, and Future Directions

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1. How representational fidelity affects sociability and cyberself engagement in the Metaverse;Internet Research;2024-08-27

2. Learning via video: The effects of summarizing strategies and self-explanation prompts;Education and Information Technologies;2024-08-21

3. Mental imagery scaffolding: The effects of detail richness and text load on geography learning;Education and Information Technologies;2024-02-17

4. Instructional Support for Visual Displays: An Updated Literature Review;Technology, Knowledge and Learning;2023-10-27

5. The efficacy of written corrective feedback: Searching for the best predictors;International Journal of Applied Linguistics;2023-10-23

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