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Galina Shulgina; Jamie Costley; Irina Shcheglova; Han Zhang; Natalya Sedova – Smart Learning Environments, 2024
While peer-editing is considered an important part of developing students' academic writing, questions remain about how different types of peer-editing affect subsequent student performance. The present study looked at a group of university students (N = 149) engaged in peer editing of one another's essays in an online security studies course. The…
Descriptors: Peer Evaluation, Writing Evaluation, Editing, Feedback (Response)
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Ting-Sheng Weng; Ting-Hsuan Lin – Smart Learning Environments, 2024
In computer-based dialogue learning, students' willingness to communicate and ability to interact is one of the important factors. Few studies have examined the testing of mobile metaverse teaching material systems built for interactive communication and learning courses. This study developed and designed course content for a virtual classroom,…
Descriptors: Students, Problem Solving, Gamification, Video Games
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Yousri Attia Mohamed Abouelenein; Shaimaa Abdul Salam Selim; Tahani Ibrahim Aldosemani – Smart Learning Environments, 2025
Learning analytics provides valuable data to inform the best decisions for each learner. This study, based on adaptive environment (AE) learning analytics dashboards, examines how instructor interventions affect student self-regulation abilities and academic performance. It identifies the self-regulation categories requiring the most support to…
Descriptors: Foreign Countries, Higher Education, Preservice Teachers, Learning Analytics
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Bo Pei; Ying Cheng; Alex Ambrose; Eva Dziadula; Wanli Xing; Jie Lu – Smart Learning Environments, 2024
The availability of large-scale learning data presents unprecedented opportunities for investigating student learning processes. However, it is challenging for instructors to fully make sense of this data and effectively support their teaching practices. This study introduces LearningViz, an interactive learning analytics dashboard to help…
Descriptors: Learning Analytics, Learning Management Systems, Computer Uses in Education, Educational Technology
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Jingyun Wang; Adam Wynn; Takahiko Mendori; Gwo-Jen Hwang – Smart Learning Environments, 2024
This study investigates the effect of studying with topic maps provided by a self-developedĀ language learning support system on (a) learning perception, (b) learning achievement and (c) variation in learning attitude and motivation, from the perspective of prior learning attitude, motivation and learning style. An analysis was conducted on the…
Descriptors: Foreign Countries, Learning Management Systems, Grammar, Concept Mapping