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Tornqvist, Dominicus; Wen, Lian; Tichon, Jennifer; Bai, Guangdong – Journal of Interactive Learning Research, 2021
There is a healthy research community focused on individual differences to tailor serious games for maximum effect for each person. But there is a comparative lack of research on the scalability of serious games for maximising knowledge saturation in a population. Scalability is critical in many real applications. The authors detail this neglected…
Descriptors: Educational Games, Individual Differences, Learning Processes, Discovery Learning
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Jeffrey Kramer Bye; Jenny Yun-Chen Chan; Avery H. Closser; Ji-Eun Lee; Stacy T. Shaw; Erin R. Ottmar – Journal of Numerical Cognition, 2024
Students often perform arithmetic using rigid problem-solving strategies that involve left-to-right-calculations. However, as students progress from arithmetic to algebra, entrenchment in rigid problem-solving strategies can negatively impact performance as students experience varied problem representations that sometimes conflict with the order…
Descriptors: Middle School Students, Middle School Mathematics, Arithmetic, Mathematics Skills
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Barber, Connie S. – Journal of Information Systems Education, 2021
The idea that games impact learning is not new to pedagogy. Within the last decade, there has been an increased use of games for higher education, social engagement, marketing, and business training. When used within a higher education setting, a gamification system does not operate within a vacuum, but rather is imbued with and embedded in the…
Descriptors: Student Centered Learning, Game Based Learning, Educational Theories, College Students
Lambert, Richard G. – Center for Educational Measurement and Evaluation, 2023
This study sought to investigate whether there were performance differences between the children who engaged with the Ignite by Hatchâ„¢ educational gaming system using the English- or Spanish-language versions of the games. Differential item functioning methods (DIF) were employed to investigate these differences. Specifically, DIF analyses can…
Descriptors: Comparative Analysis, Educational Games, Spanish, English
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Dana Kube; Sebastian Gombert; Brigitte Suter; Joshua Weidlich; Karel Kreijns; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: Gender stereotypes about women and men are prevalent in computer science (CS). The study's goal was to investigate the role of gender bias in computer-supported collaborative learning (CSCL) in a CS context by elaborating on gendered experiences in the perception of individual and team performance in mixed-gender teams in a hackathon.…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Gender Issues, Learning Activities