Data Mining Methods for Assessing Self-Regulated Learning-Reference-Cited by-同舟云学术

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Data Mining Methods for Assessing Self-Regulated Learning

Published:2017-09-07 Issue: Volume: Page:388-403
ISSN:
Container-title:Handbook of Self-Regulation of Learning and Performance
language:
Short-container-title:

Author:

Biswas Gautam,Baker Ryan S.,Paquette Luc

Publisher

Routledge

Reference1 articles.

1. Aleven, V. , McLaren, B. , Roll, I. , & Koedinger, K. (2006). Toward meta-cognitive tutoring: A model of help seeking with a cognitive tutor. International Journal of Artificial Intelligence in Education, 16 (2), 101–128.

Cited by 9 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 pedagogical design for self-regulated learning in academic writing using text-based generative artificial intelligence tools: 6-P pedagogy of plan, prompt, preview, produce, peer-review, portfolio-tracking;Research and Practice in Technology Enhanced Learning;2024-01-15

2. Towards prescriptive analytics of self‐regulated learning strategies: A reinforcement learning approach;British Journal of Educational Technology;2024-01-10

3. Self-Regulated Learning Theory and Its Teaching Practice;Advances in Psychology;2024

4. Detector-driven classroom interviewing: focusing qualitative researcher time by selecting cases in situ;Educational technology research and development;2023-12-22

5. Self-Directed Learning Is a Social Activity (and Not a Generalized Skill);Supporting Self-Regulated Learning and Student Success in Online Courses;2023-02-24

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