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Teng, Mark Feng – Journal of Computer Assisted Learning, 2023
Background: Despite the potential of captioned videos, limited attention has been paid to the role of vocabulary knowledge (VK) and working memory (WM) in incidental vocabulary learning under different captioning conditions. Objectives: The present study aimed to bridge this gap by assessing VK and WM in incidental vocabulary learning under…
Descriptors: Foreign Countries, Elementary School Students, Vocabulary Development, Video Technology
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Yan Shen – Journal of Computer Assisted Learning, 2024
Background: Instructional videos constitute a pivotal component in flipped learning. Despite their significance, there is a dearth of research specifically dedicated to instructional videos within the context of flipped classrooms. This paucity has led to an empirical void in verifying the efficacy of instructional videos in flipped learning…
Descriptors: Video Technology, Instructional Films, Flipped Classroom, Learner Engagement
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Evi-Colombo, Alessia; Cattaneo, Alberto; Bétrancourt, Mireille – Journal of Computer Assisted Learning, 2023
Background: While the use of digital technologies in collaborative design tasks have gained acceptance amongst educational researchers and instructors, few studies have analysed the application of video-supported collaborative learning-by-design (VSC-LBD) in the authentic setting of professional education and training. Objectives: This study on…
Descriptors: Knowledge Level, College Students, Nursing Education, Instructional Effectiveness
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Chisari, Lucia B.; Mockeviciute, Akvile; Ruitenburg, Sterre K.; van Vemde, Lian; Kok, Ellen M.; van Gog, Tamara – Journal of Computer Assisted Learning, 2020
Eye movement modelling examples (EMMEs) are instructional videos of a model's demonstration and explanation of a task that also show where the model is looking. EMMEs are expected to synchronize students' visual attention with the model's, leading to better learning than regular video modelling examples (MEs). However, synchronization is seldom…
Descriptors: Eye Movements, Video Technology, Models, Attention
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Mugur V. Geana; Dan Cernusca; Pan Liu – Journal of Computer Assisted Learning, 2024
Background: Education is, after gaming, the second largest sector embracing augmented reality (AR) at an accelerated pace, yet studies on AR's potential as an efficient learning environment had mixed results. Objectives: This study's primary objective is to test students' interaction with graphical 3D elements in AR and its impact on information…
Descriptors: Learner Engagement, Computer Simulation, Technology Uses in Education, Information Dissemination
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Mark Feng Teng; Yachong Cui – Journal of Computer Assisted Learning, 2024
Background: Vocabulary learning in a second language (L2) encompasses crucial aspects, including single words and collocations. Research indicates that L2 learners can incidentally learn single words from captioned videos, but less is known about the incidental learning outcomes of collocations, let alone the differences in learning gains for…
Descriptors: Incidental Learning, Vocabulary, Short Term Memory, Knowledge Level
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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