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Wang, Wei-Sheng; Cheng, Yu-Ping; Lee, Hsin-Yu; Lin, Chia-Ju; Huang, Yueh-Min – Journal of Computer Assisted Learning, 2023
Background: Benefited from advances in technology, virtual reality (VR) has been widely applied to learning content in operational training as well as hands-on courses. However, most current studies tend to evaluate learning effectiveness in this application, and few were focused on how learners can be benefited from transferring the knowledge…
Descriptors: Computer Simulation, Learning, Experiential Learning, Anxiety
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Alamer, Abdullah; Al Khateeb, Ahmed; Jeno, Lucas M. – Journal of Computer Assisted Learning, 2023
Background: Mobile-assisted language learning (MALL) has long been advocated to promote students' language study outcomes. However, little is known about how using instant messaging applications (an example of MALL) affect student motivation, language anxiety, and actual achievement. Objectives: To help close this gap, we have conducted a…
Descriptors: Foreign Countries, College Students, Synchronous Communication, Handheld Devices
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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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Manca, Stefania; Raffaghelli, Juliana Elisa – Journal of Computer Assisted Learning, 2023
Background: Holocaust memory and learning processes have become increasingly mediatised as a result of rapid technological advances. There is, however, little information available regarding how people learn about this topic informally through social media. Objectives: This paper explores how adult learners develop their learning ecologies by…
Descriptors: Adult Learning, Adult Students, Social Media, Learning
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Alyssa P. Lawson; Richard E. Mayer – Journal of Computer Assisted Learning, 2024
Background: Immersive virtual reality (IVR) is a new technology that could motivate learners, but also could contain distracting elements that increase cognitive demands on learners. In contrast, learning with conventional media, such as a narrated slideshow could be less motivating, but also less distracting. Objectives: This experiment…
Descriptors: Computer Simulation, Individual Differences, Learning, Executive Function
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Schüler, Anne; Merkt, Martin – Journal of Computer Assisted Learning, 2021
In two experiments, the multimedia contradiction paradigm was used to investigate whether learners map information conveyed through the audio and the picture track of a video. In Experiment 1 (N = 85), the information conveyed through the audio track and the picture track was always consistent (control group) or was made inconsistent by changing…
Descriptors: Video Technology, Cognitive Processes, Multimedia Materials, Eye Movements
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Ali Soyoof; Barry Lee Reynolds; Michelle Neumann; Janet Scull; Ekaterina Tour; Katherine McLay – Journal of Computer Assisted Learning, 2024
Background: In today's society, a growing body of literature attests to the importance of young children's early digital literacy skills in their home environments and how acquisition of these digital literacy skills relates to their future learning and digital literacy. Objectives: Research on young children's digital literacy practices at home…
Descriptors: Children, Digital Literacy, Family Environment, Parent Participation
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Xu, Wei; Dai, Taotao; Shen, Zhiyi – Journal of Computer Assisted Learning, 2022
Background: Many researchers have explored the impact of various technologies in museums on learning effects. Whether the application of technology in informal museum learning is effective, is the current issue that scholars pay more attention to. Objectives: This study will find the evidence to determine the effects of technology use on museum…
Descriptors: Effect Size, Meta Analysis, Network Analysis, Museums
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Arslan-Ari, I. – Journal of Computer Assisted Learning, 2018
The purpose of this study was to investigate the effects of cueing and prior knowledge on learning and mental effort of students studying an animation with narration. This study employed a 2 (no cueing vs. visual cueing) × 2 (low vs. high prior knowledge) between-subjects factorial design. The results revealed a significant interaction effect…
Descriptors: Animation, Prior Learning, Prompting, Learning
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Sun, Lihui; Hu, Linlin; Yang, Weipeng; Zhou, Danhua; Wang, Xiaoqian – Journal of Computer Assisted Learning, 2021
Computational thinking (CT) plays a vital role in the fields of science, technology, engineering and mathematics (STEM). However, whether students' learning attitude towards STEM is related to their CT skills remains unknown. Two studies were conducted to address this knowledge gap. In Study 1, we validated a newly developed STEM learning attitude…
Descriptors: STEM Education, Predictor Variables, Computer Science, Thinking Skills
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Vössing, J.; Stamov-Roßnagel, C.; Heinitz, K. – Journal of Computer Assisted Learning, 2017
Metacomprehension as reflected in judgements of one's learning is crucial for self-regulated study, yet their accuracy is often low. We investigated text difficulty as a constraint on metacomprehension accuracy in text learning. A total of 235 participants studied a 10-section expository text and afterwards took a knowledge test. They made…
Descriptors: Difficulty Level, Comprehension, Accuracy, Evaluative Thinking
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Pellas, Nikolaos – Journal of Computer Assisted Learning, 2023
Background: Owing to the exponential growth of three-dimensional (3D) environments amongst researchers and educators to create simulation games (SGs) in primary education, there is a growing interest to examine their potential support in computer science courses instead of visual programming environments. Objectives: This study explores the…
Descriptors: Computation, Thinking Skills, Programming, Skill Development
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Stárková, Tereza; Lukavský, Jirí; Javora, Ondrej; Brom, Cyril – Journal of Computer Assisted Learning, 2019
Anthropomorphizing graphical elements in multimedia learning materials improves learning outcomes. The reasons for enhanced learning are unclear. We extended a seminal anthropomorphism study in order to examine whether the effect of anthropomorphisms on learning outcomes, both immediate and delayed, is caused by the anthropomorphized elements'…
Descriptors: Multimedia Instruction, Educational Technology, Technology Uses in Education, Learning
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Makransky, Guido; Wismer, Philip; Mayer, Richard E. – Journal of Computer Assisted Learning, 2019
The main objective of this study is to determine whether boys and girls learn better when the characteristics of the pedagogical agent are matched to the gender of the learner while learning in immersive virtual reality (VR). Sixty-six middle school students (33 females) were randomly assigned to learn about laboratory safety with one of two…
Descriptors: Educational Technology, Technology Uses in Education, Gender Differences, Computer Simulation
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Witherspoon, Eben B.; Schunn, Christian D.; Higashi, Ross M.; Shoop, Robin – Journal of Computer Assisted Learning, 2018
Educational robotics programs offer an engaging opportunity to potentially teach core computer science concepts and practices in K-12 classrooms. Here, we test the effects of units with different programming content within a virtual robotics context on both learning gains and motivational changes in middle school (6th-8th grade) robotics…
Descriptors: Robotics, Computer Science Education, Programming, Units of Study
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