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Ruben Till Wittrin; Benny Platte; Christian Roschke; Marc Ritter; Maximilian Eibl; Carolin Isabel Steiner; Volker Tolkmitt – IEEE Transactions on Learning Technologies, 2024
Virtual environments open up far-reaching possibilities with respect to knowledge impartation. Nevertheless, they have the potential to negatively influence learning behavior. As a possible positive determinant, especially in the digital context, the moment "game" can be listed. Accordingly, previous studies prove an overall positive…
Descriptors: Game Based Learning, Learning Motivation, Academic Achievement, Electronic Learning
Shurui Bai; Donn Emmanuel Gonda; Khe Foon Hew – IEEE Transactions on Learning Technologies, 2024
This case study explored the use of generative artificial intelligence (GenAI), specifically chat generative pretraining transformer (ChatGPT), in writing scenarios for scenario-based learning (SBL). Our research addressed three key questions: 1) how do teachers leverage GenAI to write scenarios for SBL purposes? 2) what is the quality of…
Descriptors: Vignettes, Teaching Methods, Engineering Education, Guidelines
Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory