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Direct linkLu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation
Yang, Tzu-Chi; Hwang, Gwo-Jen; Yang, Stephen J. H.; Hwang, Gwo-Haur – Educational Technology & Society, 2015
Computer programming is an important skill for engineering and computer science students. However, teaching and learning programming concepts and skills has been recognized as a great challenge to both teachers and students. Therefore, the development of effective learning strategies and environments for programming courses has become an important…
Descriptors: Foreign Countries, Programming, Instructional Effectiveness, College Students
Yang, Stephen J. H.; Chen, Irene Ya-Ling; Shao, Norman W. Y. – Educational Technology & Society, 2004
The nature of collaborative learning involves intensive interactions among collaborators, such as articulating knowledge into written, verbal or symbolic forms, authoring articles or posting messages to this community's discussion forum, responding or adding comments to messages or articles posted by others, etc. Knowledge collaborators'…
Descriptors: Knowledge Management, Information Retrieval, Cooperative Learning, Documentation
