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Gang Yang; Dan Zheng; Ji-Huan Chen; Qun-Fang Zeng; Yun-Fang Tu; Xiao-Li Zheng – Interactive Learning Environments, 2024
The game-based learning approach to developing students' computational thinking (CT) current has received attention from researchers. However, the compatibility between games and instruction is often insufficient to accommodate the entertaining and educational nature of the curriculum entirely, and the benefits of game-based learning could be…
Descriptors: Role Playing, Educational Games, Mental Computation, Learner Engagement
Lavy, Ilana – International Journal of Information and Communication Technology Education, 2021
This article describes a unique ongoing experience of learning programming via engagement in music programming of known melodies. Seventh and eighth graders participated in 10 lessons of weekly activity. Via the programming of melodies, using the Scratch 2.0 environment, they became acquainted with basic concepts of programming such as methods,…
Descriptors: Teaching Methods, Computer Science Education, Programming, Music
Southern Regional Education Board (SREB), 2011
Instructional strategies make a difference in whether students are engaged in learning and are profiting from their time in class. High schools, technology centers and middle grades schools are encouraging teachers to adopt new teaching techniques and are providing opportunities for teachers to work together to improve their instructional skills…
Descriptors: Educational Strategies, High Schools, Middle Schools, Teaching Methods
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis