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Liu, Cheng-Ye; Li, Wei; Huang, Ji-Yi; Lei, Lu-Yuan; Zhang, Pei-Rou – Journal of Computer Assisted Learning, 2023
Background: Socially shared regulation is a vital factor that affects students' collaborative programming performance. However, students' weak group metacognitive skills or inability to adopt shared regulation mechanisms lead to unsatisfactory collaborative programming learning. Objectives: This study proposes an approach to support socially…
Descriptors: Cooperative Learning, Programming, Academic Achievement, Metacognition
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Chen, Yi-Ching; Chang, Yu-Shan; Chuang, Meng-Jung – Journal of Computer Assisted Learning, 2022
Virtual reality (VR) can promote design performance, and may generate a high cognitive load and affect creative design thinking as well. In order to examine the effect of VR application on cognitive load and engineering design creativity, this study recruited 81 eighth-grade students as participants and employed a non-equivalent-groups…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Creative Thinking
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Jenny Yun-Chen Chan; Avery H. Closser; Vy Ngo; Hannah Smith; Allison S. Liu; Erin Ottmar – Journal of Computer Assisted Learning, 2023
Background: Prior work has shown that middle school students struggle with algebra and that game-based educational technologies, such as DragonBox and From Here to There!, are effective at improving students' algebraic performance. However, it remains unclear which aspects of algebraic knowledge shift as a result of playing these games and what…
Descriptors: Teaching Methods, Game Based Learning, Middle School Students, Algebra
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Eichmann, Beate; Greiff, Samuel; Naumann, Johannes; Brandhuber, Liene; Goldhammer, Frank – Journal of Computer Assisted Learning, 2020
In this explorative study, we investigate how sequences of behaviour are related to success or failure in complex problem-solving (CPS). To this end, we analysed log data from two different tasks of the problem-solving assessment of the Programme for International Student Assessment 2012 study (n = 30,098 students). We first coded every…
Descriptors: Behavior Patterns, Difficulty Level, Problem Solving, Success
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Qian Huangfu; Qianmei He; Sisi Luo; Weilin Huang; Yahua Yang – Journal of Computer Assisted Learning, 2025
Background: Video lectures which include the teachers' presence have become increasingly common. As teacher enthusiasm is a nonverbal cue in video lectures, more and more studies are focusing on this topic. However, little research has been carried out on the interactions between teacher enthusiasm and prior knowledge when learning from video…
Descriptors: Chemistry, Science Instruction, Teacher Student Relationship, Teacher Response
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Liu, Qingtang; Yu, Shufan; Chen, Wenli; Wang, Qiyun; Xu, Suxiao – Journal of Computer Assisted Learning, 2021
While the use of experiments is important for developing students' scientific knowledge and skills, challenges may arise when teachers and students are conducting experiments in class, such as non-reusable experimental resources, safety issues and difficulties simulating some specific effects. Augmented reality (AR) technology affords an…
Descriptors: Science Experiments, Computer Simulation, Magnets, Junior High School Students
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Rekik, Ghazi; Khacharem, Aïmen; Belkhir, Yosra; Bali, Naila; Jarraya, Mohamed – Journal of Computer Assisted Learning, 2019
Recent studies exploring the effects of dynamic visualizations on learning compared with static visualizations have yielded mixed results. Procedural motor learning is one of the few fields in which dynamic representations have shown to be effective. Many of the studies have suggested that this advantage is mainly due to the activation of the…
Descriptors: Visualization, Physical Education, Video Technology, Photography
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Wang, Cixiao; Fang, Ting; Miao, Rong – Journal of Computer Assisted Learning, 2018
In the increasing pervasiveness of today's digital society, mobile devices are changing the face of education. Students can interact with mobile devices in context-aware environment. This paper presents a mobile application based on expert system (Plant-E) for students to acquire knowledge about plant classification by answering decision-making…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handheld Devices
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Blom, Helen; Segers, Eliane; Knoors, Harry; Hermans, Daan; Verhoeven, Ludo – Journal of Computer Assisted Learning, 2018
This study aims to investigate secondary school students' reading comprehension and navigation of networked hypertexts with and without a graphic overview compared to linear digital texts. Additionally, it was studied whether prior knowledge, vocabulary, verbal, and visual working memory moderated the relation between text design and…
Descriptors: Reading Comprehension, Navigation (Information Systems), Computer Networks, Hypermedia
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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
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Chatzopoulou, D. I.; Economides, A. A. – Journal of Computer Assisted Learning, 2010
This paper presents Programming Adaptive Testing (PAT), a Web-based adaptive testing system for assessing students' programming knowledge. PAT was used in two high school programming classes by 73 students. The question bank of PAT is composed of 443 questions. A question is classified in one out of three difficulty levels. In PAT, the levels of…
Descriptors: Student Evaluation, Prior Learning, Programming, High School Students