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Shadi Esnaashari; Lesley Gardner; Michael Rehm; Tiru Arthanari; Olga Filippova – Journal of Computer Assisted Learning, 2025
Background: Self-Regulated Learning (SRL) plays a crucial role in student success, particularly in blended learning (BL) environments where learners must take greater ownership of their educational journey. Whilst prior research has extensively examined SRL, there remains a gap in understanding how students' SRL profiles evolve over time and how…
Descriptors: Blended Learning, Learning Strategies, College Freshmen, Undergraduate Students
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Ting-Ting Wu; Edi Sarwono; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Virtual laboratories are used to supplement or even replace physical laboratories in engineering education. Although these virtual laboratories allow students to learn foundational experimental skills, they do not provide the learners with the chance to develop higher-order thinking skills (HOTS). Computational thinking (CT) is an…
Descriptors: Computation, Thinking Skills, Computer Simulation, Laboratories
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Héctor Galindo-Domínguez; Nahia Delgado; María-Victoria Urruzola; Jose-María Etxabe; Lucía Campo – Journal of Computer Assisted Learning, 2025
Background: With the integration of artificial intelligence into educational processes, its impact remains to be discovered. Objective: The aim of the present study was to determine whether, after a 7-month intervention in which a subject of artificial intelligence was taught, students improved their psychological needs for competence, autonomy…
Descriptors: Artificial Intelligence, Adolescents, Student Motivation, Technology Uses in Education
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Miao Chao; Weiyi Sun; Jie Liu; Jiahui Ding; Ye Zhu – Journal of Computer Assisted Learning, 2025
Background: The use of social media among students has become debatable concern due to both positive and negative effects on academic performance. Yet, understanding of the diverse patterns of social media use and their influence on actual and perceived academic performance remains limited. Objectives: This study distinguishes between academic and…
Descriptors: Social Media, Performance, Influence of Technology, Predictor Variables
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Qian Fu; Xinyi Zhou; Yafeng Zheng; Zhenyi Wang – Journal of Computer Assisted Learning, 2025
Background: Understanding algorithms is crucial for programming education, yet their abstract nature often challenges students. Algorithm visualisation (AV) has been proven effective in enhancing algorithmic thinking among university students. However, its efficacy for elementary school students and the optimal forms of AV tools remain unclear.…
Descriptors: Algorithms, Visualization, Elementary School Students, Learning Motivation
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Hanna Järvenoja; Tiina Törmänen; Marjo Turunen; Emma Lehtoaho – Journal of Computer Assisted Learning, 2025
Background: Collaborative learning offers benefits, but its potential is often undermined by motivational challenges. This study uses the situated expectancy-value theory to explore how students' expectancies for success relate to group-level regulation of learning during collaborative interactions. The study considers success expectancies both as…
Descriptors: Cooperative Learning, Success, Expectation, Student Motivation
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Enzo Simonnet; Mathieu Loiseau; Élise Lavoué – Journal of Computer Assisted Learning, 2025
Background: Vocabulary learning is an essential dimension of foreign language learning. The learners have a huge responsibility in this task. Among other factors, time constraints and an overall lack of maintained motivation on the part of students makes it especially challenging. Consequently, improving vocabulary learning requires strategies to…
Descriptors: Vocabulary Skills, Technology Uses in Education, Educational Technology, Motivation
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Osman Özdemir – Journal of Computer Assisted Learning, 2025
Background: In recent years, the widespread use of technology in classrooms has encouraged the transition from traditional lecture methods to digital-based learning environments. Technological game-based learning platforms, such as Kahoot!, which are used to encourage students' active participation and interaction in learning environments, are…
Descriptors: Game Based Learning, Video Games, Academic Achievement, Student Motivation
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Ying-Lien Lin; Hann-Jang Huang; Wei-Tsong Wang – Journal of Computer Assisted Learning, 2025
Background: Goal orientations (GO) are influential achievement goals in predicting achievement motivation and effectiveness. However, few studies have paid specific attention to investigating the effects of GO on learning achievement in the area of business management education. Objectives: This study developed a business simulation game system…
Descriptors: Goal Orientation, Academic Achievement, Computer Simulation, Animation
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Zhihui Cai; Caiyan Liu; Jieni Zhan; Zhikeng Wang; Xin Hao; Si Zhang; Xinjie Chen – Journal of Computer Assisted Learning, 2025
Background: Attention has been paid to collaboration in digital game-based learning, as it fosters interaction and student engagement, thereby enhancing learning outcomes. Previous findings about the effect of collaboration in digital game-based learning were inconsistent, and few studies have explored the underlying mechanisms, particularly…
Descriptors: Cooperative Learning, Computer Games, Game Based Learning, Learning Experience
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Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
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Chorng-Shiuh Koong; Chih-Hung Chen; Yu-Tzu Chen; Gwo-Haur Hwang – Journal of Computer Assisted Learning, 2025
Background: Rhythm is the fundamental element of music and one of the indispensable aspects of training in music education, making it highly valued. However, due to the limitations of teaching hours and the large number of students in each class, it is difficult to foster the rhythm ability of elementary school students. Objectives: Hence, this…
Descriptors: Music Education, Telecommunications, Handheld Devices, Teaching Methods
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Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
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Jyun-Chen Chen; Chia-Yu Liu – Journal of Computer Assisted Learning, 2025
Background: Based on the embodied cognition perspective, interdisciplinary hands-on learning combines several disciplines, such as science, technology, engineering and mathematics (STEM), to improve students' capacity to solve real-world problems. Despite the popularity of interdisciplinary hands-on learning, particularly the six-phase 6E model,…
Descriptors: Interdisciplinary Approach, Experiential Learning, STEM Education, Problem Solving
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Marlene Steinbach; Johanna Fleckenstein; Livia Kuklick; Jennifer Meyer – Journal of Computer Assisted Learning, 2025
Background: Providing students with information on their current performance could help them improve by stimulating their reflection, but negative feedback that saliently mirrors task-related failure can harm motivation. In the context of automated scoring based on artificial intelligence, we explored how feedback on written texts might be…
Descriptors: Student Motivation, Academic Achievement, Low Achievement, Feedback (Response)
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