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Showing 1 to 15 of 17 results Save | Export
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Yu Lei; Xin Fu; Jingjie Zhao; Baolin Yi – Education and Information Technologies, 2025
Grouping students according to their abilities and promoting deeper interaction and moderation are key issues in improving computational thinking in collaborative programming. However, the distribution characteristics and evolving pathways of computational thinking in different groups have not been deeply explored. During the course of a…
Descriptors: Ability Grouping, Computation, Programming, Cooperative Learning
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Yoon Lee; Gosia Migut; Marcus Specht – British Journal of Educational Technology, 2025
Learner behaviours often provide critical clues about learners' cognitive processes. However, the capacity of human intelligence to comprehend and intervene in learners' cognitive processes is often constrained by the subjective nature of human evaluation and the challenges of maintaining consistency and scalability. The recent widespread AI…
Descriptors: Artificial Intelligence, Cognitive Processes, Student Behavior, Cues
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Man Huang – Education and Information Technologies, 2025
As educational technology advances, the role of artificial intelligence (AI) in enhancing language education becomes increasingly prominent. However, there is a scarcity of empirical research assessing how AI integration influences student engagement and contributes to the language learning performance. This mixed-methods study seeks to fill the…
Descriptors: Foreign Countries, Middle School Students, Artificial Intelligence, Learner Engagement
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Peijian Paul Sun; Zeqi Ren; Xian Zhao – Journal of Computer Assisted Learning, 2025
Background: Student engagement has been conceptualised and operationalised in various learning environments. However, there is currently a lack of established scales to measure student engagement in synchronous online learning. One possible reason is the existence of the conceptual and structural ambiguity regarding student engagement. Objective:…
Descriptors: Student Participation, Second Language Learning, Synchronous Communication, Electronic Learning
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Ling Zhang; Naiqing Song; Guowei Wu; Jinfa Cai – Educational Studies in Mathematics, 2025
This study concerns the cognitive process of mathematical problem posing, conceptualized in three stages: understanding the task, constructing the problem, and expressing the problem. We used the eye tracker and think-aloud methods to deeply explore students' behavior in these three stages of problem posing, especially focusing on investigating…
Descriptors: Cognitive Processes, Mathematics Skills, Problem Solving, Eye Movements
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Yang Hang; Xiaojun Zhang – Asia Pacific Journal of Education, 2025
Although students are the key actors in their transition to higher education, there is limited research concentrating on student agency in a successful transition. This study examines how Chinese students actively and effectively manage their transition to the Sino-foreign cooperative university (SFCU). In X University -- one of nine SFCUs in…
Descriptors: International Cooperation, Foreign Countries, Undergraduate Students, Student Adjustment
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Taufik Slamet; Thomas Brush; Kyungbin Kwon – Technology, Knowledge and Learning, 2025
This study aims to investigate the effects of competition through a digital leaderboard in gamified online discussions on learners' behavioral and cognitive engagement in learning. Twenty-three graduate students pursuing master's degree in instructional technology in a public university in Indonesia were involved in a five-week quasi-experiment (N…
Descriptors: Competition, Gamification, Computer Mediated Communication, Group Discussion
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Thijs Loonstra; Valentina C. Tassone; Zoë Robaey; Perry den Brok – Environmental Education Research, 2025
While environmental problems are urgent in modern society, they are especially difficult to tackle because of their normative and politically controversial nature. Universities may choose different theoretical paradigms for the teaching of environmental problems. However, limited theoretical and/or practical analysis has been undertaken of the…
Descriptors: Environmental Education, Models, Social Problems, Outcomes of Education
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Segun Michael Ojetunde; Umesh Ramnarain – Smart Learning Environments, 2025
Learning interaction patterns is key to the explanation of learning outcomes. Different studies have reported the relationship between classroom process variables and learning outcomes in a traditional classroom setting. However, the advent of robotics and its attendant student-robot interaction moderated by students' mathematical ability is yet…
Descriptors: Robotics, Technology Uses in Education, Mathematics Skills, Outcomes of Education
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Xiao-Rong Guo; Shao-Ying Gong; Si-Yang Liu; Jing Wang; Yan-Qing Wang; Xin Zhao – European Journal of Psychology of Education, 2025
Previous studies have pointed out that leisure motivational interference was an important factor affecting students' learning satisfaction. This study concentrates on three unexplored areas in the current literature on leisure motivational interference and learning satisfaction. Specifically, it is the first to (a) focus on the effects of digital…
Descriptors: Leisure Time, Student Motivation, College Students, Electronic Learning
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Kimberly Vo; Mahbub Sarkar; Paul J. White; Elizabeth Yuriev – Chemistry Education Research and Practice, 2025
Solving chemical problems entails content knowledge and mastery of problem-solving processes. However, students sometimes lack metacognitive processes required for problem solving in chemistry. This study investigated how first-year chemistry students engaged with the metacognitive problem-solving scaffold Goldilocks Help. Data was collected from…
Descriptors: Metacognition, Problem Solving, Student Attitudes, Learner Engagement
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Azetu Azashi Agyo; Emmanuel John Anagu – International Journal of Technology in Education and Science, 2025
As educational needs change, gamified immersive virtual reality (I-VR) can enhance learning by making it more interactive. Immersive virtual reality is used more in science than in the humanities. This study uses the Theory of Planned Behavior (TPB) to explore factors that affect students' intentions to use gamified I-VR, particularly in…
Descriptors: Gamification, Computer Simulation, Literacy, English Instruction
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Tingting Wang; Juan Zheng; Susanne P. Lajoie – Educational Technology & Society, 2025
Previous studies have confirmed the pivotal roles of student engagement in predicting learning achievements; however, only a few emphasized the patterns of different engagement dimensions within individuals (i.e., co-occurrences of behavioral, cognitive, and emotional engagement). Thus, this study identifies engagement profiles and explores their…
Descriptors: Medical Students, Technology Uses in Education, Educational Technology, Computer Simulation
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K. Ann Renninger; Gertraud Benke; Ricardo Böheim; Julien Corven; Maria Consuelo De Dios; Maeve R. Hogan; Moe Htet Kyaw; Ana G. Michels; Marina Nakayama; Pablo E. Torres; Helena Werneck; Feven Yared – Frontline Learning Research, 2025
Collaborative problem solving (CPS) has been shown to both engage and benefit students' learning of mathematics. However, there is evidence that group work is not always easy to facilitate, in part because educators lack details about learners' engagement during group work: the processes of problem solving involved, and how these are engaged. In…
Descriptors: Cooperative Learning, Middle School Students, Problem Solving, Mathematics Education
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Daner Sun; Chee-Kit Looi; Yuqin Yang; Fenglin Jia – British Journal of Educational Technology, 2025
Universities, significantly impacted by the shift to online learning during pandemic, must critically evaluate their teaching methods and outcomes to enhance performance in the post-pandemic era. However, there has been a limited examination of whether students achieved comparable levels in cognition and social interaction during the pandemic…
Descriptors: Academic Achievement, Computer Assisted Instruction, Cooperative Learning, Pandemics
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