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Emerson, Andrew; Min, Wookhee; Azevedo, Roger; Lester, James – British Journal of Educational Technology, 2023
Game-based learning environments hold significant promise for facilitating learning experiences that are both effective and engaging. To support individualised learning and support proactive scaffolding when students are struggling, game-based learning environments should be able to accurately predict student knowledge at early points in students'…
Descriptors: Game Based Learning, Natural Language Processing, Prediction, Student Evaluation
Rittinger, Eric R. – Journal of Political Science Education, 2020
A growing literature highlights the benefits of playing the classic board game Diplomacy in international relations (IR) courses. But how exactly can it help students to learn not only about different IR theories, but also about what it means to "use" a theory in the first place? To address this question, I highlight my experiences…
Descriptors: International Relations, Public Affairs Education, Game Based Learning, Introductory Courses
Wannapiroon, Naphong; Pimdee, Paitoon – Education and Information Technologies, 2022
Qualitative and quantitative research methods were undertaken to examine and develop a digitally based virtual classroom learning environment (VCLE) for Thai undergraduate students' creative thinking and innovation enhancement in science, technology, engineering, arts, and math (STEM/STEAM) disciplines. The research methodology was divided into…
Descriptors: Undergraduate Students, Art Education, STEM Education, Foreign Countries
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