A systematic review of empirical studies using log data from open‐ended learning environments to measure science and engineering practices

Author:

Wang Karen D.1ORCID,Cock Jade Maï2,Käser Tanja2,Bumbacher Engin3ORCID

Affiliation:

1. Graduate School of Education Stanford University CaliforniaStanford USA

2. École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland

3. Haute École Pédagogique du Canton de Vaud (HEPL) Lausanne Switzerland

Publisher

Wiley

Subject

Education

Cited by 10 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. Predicting problem-solving success in an office simulation applying N-grams and a random forest to behavioral process data;Computers & Education;2024-09

2. Promoting Equitable Learning Outcomes for Underserved Students in Open-Ended Learning Environments;Proceedings of the 23rd Annual ACM Interaction Design and Children Conference;2024-06-17

3. Discovering Players’ Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18

4. Can Crowdsourcing Platforms Be Useful for Educational Research?;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18

5. The Sequence Matters in Learning - A Systematic Literature Review;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18

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