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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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Fuxing Wang; Xiaoxue Leng; Ziyi Kuang; Tingting Zhao – Journal of Computer Assisted Learning, 2025
Background: Both eye movement modelling examples (EMMEs) and cues guide attention and improve learning in multimedia learning environments. EMME can act as a special form of cue. However, no studies have directly examined whether EMME would be superior to visual cues. Objective: The study was to investigate whether there were advantages of EMME…
Descriptors: Eye Movements, Cues, Attention, Multimedia Instruction
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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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Sivakorn Malakul – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) tools have been increasingly utilised in the production of educational media, including animated educational videos (AEVs) incorporating pedagogical agents (PAs). These tools support the efficient creation of multimedia content and reduce teachers' technical workload. Objectives: This study investigates the…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Teacher Attitudes
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Ying-Lien Lin; Wei-Tsong Wang; Shih-Ying Kuang – Journal of Computer Assisted Learning, 2025
Background: Visual metaphors (VMs) have gained significant attention from cognitive linguists for their ability to help learners understand linguistic structure. However, few studies have explored how incorporating a VM-supported instructional design can help instructors elucidate the abstract concepts of the business model canvas (BMC) to enhance…
Descriptors: Figurative Language, Visual Aids, Visual Learning, Instructional Design
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Tianqi Huang; Zhenan Feng; Daniel Paes; Fei Ying; Xilei Zhao; Max Kinateder; E. R. Langer; Ruggiero Lovreglio – Journal of Computer Assisted Learning, 2025
Background: Wildfires have become increasingly frequent and destructive, highlighting the need for more effective public education on safety and preparedness. Gamification, the use of game design elements in non-game contexts, offers a promising strategy to enhance learner engagement and educational effectiveness compared to traditional methods.…
Descriptors: Natural Disasters, Fire Protection, Safety Education, Gamification