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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
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
Katai, Zoltan; Osztian, Erika – Journal of Computer Assisted Learning, 2023
Background: This study is the first to address the topic of schematic versus realistic dynamic visualization with particular focus on the human movement effect (HME) when the content to be learned takes the form of a computer algorithm. An AlgoRythmics dance choreography illustration (HM-realistic) was compared with an abstract computer animation…
Descriptors: Computer Software, Algorithms, Visualization, Animation
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
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
Tiphaine Colliot; Jean-Michel Boucheix – Journal of Computer Assisted Learning, 2024
Background: Previous studies have shown that dynamic illustrations, as compared to their static counterparts, lead to higher achievement levels, especially for hand-based procedures. Other researchers have investigated how the presence of seductive details (i.e., appealing but irrelevant adjunct displays) influences students' interest positively…
Descriptors: Illustrations, Animation, Handicrafts, Elementary School Students
Leah S. Mahler; Richard E. Mayer – Journal of Computer Assisted Learning, 2024
Background: Emotional design of multimedia lessons involves adding features that are intended to increase learner enjoyment and promote learning--such as adding narrative, anthropomorphizing non-human elements, and using warm colours. Objective: The present study extends this work to examine the potential of Japanese animation (anime) for…
Descriptors: Multimedia Instruction, Animation, Cartoons, Science Instruction
Wu, Changcheng; Jing, Bin; Gong, Xue; Ma, Xunzhou – Journal of Computer Assisted Learning, 2023
Background: Zoomorphism, an obverse of conventional anthropomorphism, has been shown in many cases to be a powerful tool with respect to the metaphorical use of animals. Objectives: This study introduced zoomorphism into the instructional video design of pedagogical agents (PAs). Method: We first developed three image sets, each of which…
Descriptors: Instructional Films, Imagery, Animals, Instructional Design
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
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
Ploetzner, Rolf; Berney, Sandra; Bétrancourt, Mireille – Journal of Computer Assisted Learning, 2020
In a systematic review, 194 studies on learning from animation were analysed. The analysis covers the learning domains, the representational characteristics of the animations, the assessed perceptual and cognitive achievements, and the assessment formats. Research on learning from animation focuses on assessing conceptual at the neglect of…
Descriptors: Animation, Teaching Methods, Instructional Effectiveness, Learning Processes
Coskun, Atakan; Cagiltay, Kursat – Journal of Computer Assisted Learning, 2022
Background: The most challenging task in eye-tracking-based multimedia research is to establish a relationship between eye-tracking metrics (or cognitive processes) and learners' performance scores. Additionally, there are current debates about the effectiveness of animations (or simulations) in promoting learning in multimedia settings.…
Descriptors: Eye Movements, Cognitive Processes, Animation, Multimedia Instruction
Li, Wenjing; Wang, Fuxing; Mayer, Richard E.; Liu, Tao – Journal of Computer Assisted Learning, 2022
Background: With the rapid popularization of e-learning, how to improve online learning has aroused widespread concern. A human-like pedagogical agent (PA) that displays eye gaze and gestures, is often added to online multimedia lessons to increase social connection and improve learning in e-learning environments. However, there has been a debate…
Descriptors: Online Courses, Animation, Educational Technology, Technology Uses in Education
Javora, Ondrej; Hannemann, Tereza; Volná, Kristina; Dechterenko, Filip; Tetourová, Tereza; Stárková, Tereza; Brom, Cyril – Journal of Computer Assisted Learning, 2021
The present study investigates affective-motivational, attention, and learning effects of unexplored emotional design manipulation: "Contextual animation" (animation of contextual elements) in multimedia learning game (MLGs) for children. Participants (N = 134; M[subscript age] = 9.25; Grades 3 and 4) learned either from an experimental…
Descriptors: Animation, Context Effect, Multimedia Materials, Instructional Materials
Koc-Januchta, Marta M.; Höffler, Tim N.; Eckhardt, Marc; Leutner, Detlev – Journal of Computer Assisted Learning, 2019
The study presented in this paper aimed to examine the effect of visual and verbal cognitive style on learning from different types of visualization and modalities of explanatory text. Learning materials in the form of either computer-based animation or a series of static pictures with written or spoken explanations were presented to 197 students.…
Descriptors: Cognitive Style, Multimedia Materials, Visualization, Pictorial Stimuli
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