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More Challenging or More Achievable? The Impacts of Difficulty and Dominant Goal Orientation in Leaderboards within Educational Gamification
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Cao, Yang; Gong, Shao-Ying; Wang, Zhen; Cheng, Yang; Wang, Yan-Qing – Journal of Computer Assisted Learning, 2022
Background: As one of the gamification elements, leaderboard, especially absolute leaderboard, is widely used in educational gamification systems. However, empirical studies on the optimal use condition of the leaderboard and underlying influence mechanisms are deficient. Objectives: This study explored which difficulty was more conducive to…
Descriptors: Goal Orientation, Difficulty Level, Learning Motivation, Educational Games
Enriching Feedback in Audience Response Systems: Analysis and Implications of Objective and Subjective Metrics on Students' Performance and Attitudes
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Papadopoulos, Pantelis M.; Natsis, Antonis; Obwegeser, Nikolaus; Weinberger, Armin – Journal of Computer Assisted Learning, 2019
The aim of the present study (n = 113) was to examine how (objective and subjective) information on peers' preparation, confidence, and past performance can support students in answering correctly in audience response systems (aka clickers). The result analysis shows that in the "challenging" questions, in which answers diverged,…
Descriptors: Feedback (Response), Audience Response Systems, Self Esteem, Student Attitudes
Measuring Cognitive Load in Test Items: Static Graphics versus Animated Graphics
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Dindar, M.; Kabakçi Yurdakul, I.; Inan Dönmez, F. – Journal of Computer Assisted Learning, 2015
The majority of multimedia learning studies focus on the use of graphics in learning process but very few of them examine the role of graphics in testing students' knowledge. This study investigates the use of static graphics versus animated graphics in a computer-based English achievement test from a cognitive load theory perspective. Three…
Descriptors: Difficulty Level, Cognitive Processes, Animation, Visual Aids
Cognitive Load Theory vs. Constructivist Approaches: Which Best Leads to Efficient, Deep Learning?
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Vogel-Walcutt, J. J.; Gebrim, J. B.; Bowers, C.; Carper, T. M.; Nicholson, D. – Journal of Computer Assisted Learning, 2011
Computer-assisted learning, in the form of simulation-based training, is heavily focused upon by the military. Because computer-based learning offers highly portable, reusable, and cost-efficient training options, the military has dedicated significant resources to the investigation of instructional strategies that improve learning efficiency…
Descriptors: Educational Strategies, Constructivism (Learning), Instructional Design, Teaching Methods