A Systematic Mapping Study about Learner Experience Design in Computational Systems.
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- Informatics in Education, 2024, v. 23, n. 3, p. 439, doi. 10.15388/infedu.2024.12
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- Article
Works matching IS 16485831 AND DT 2024 AND VI 23 AND IP 3
Results: 7
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Reliability and Validity of an Automated Model for Assessing the Learning of Machine Learning in Middle and High School: Experiences from the “ML for All!” Course.
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- Informatics in Education, 2024, v. 23, n. 3, p. 409, doi. 10.15388/infedu.2024.10
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- Article
3
Productive Failure-based Programming Course to Develop Computational Thinking and Creative Problem-Solving Skills in a Korean Elementary School.
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- Informatics in Education, 2024, v. 23, n. 3, p. 385, doi. 10.15388/infedu.2024.14
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- Article
4
ARIadne – An Explanation Model for Digital Artefacts.
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- Informatics in Education, 2024, v. 23, n. 3, p. 479, doi. 10.15388/infedu.2024.09
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- Article
5
Analysis and Evaluation of a Searchable Exercise Repository for Training Java Programming.
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- Informatics in Education, 2024, v. 23, n. 3, p. 361, doi. 10.15388/infedu.2024.17
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- Article
6
Pedagogical Framework for Cultivating Children’s Data Agency and Creative Abilities in the Age of AI.
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- Informatics in Education, 2024, v. 23, n. 3, p. 323, doi. 10.15388/infedu.2024.15
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- Article
7
Active Learning Methodologies for Teaching Programming in Undergraduate Courses: A Systematic Mapping Study.
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- Informatics in Education, 2024, v. 23, n. 3, p. 279, doi. 10.15388/infedu.2024.11
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- Article