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Pieter Vanneste; Kim Dekeyser; Luis Alberto Pinos Ullauri; Dries Debeer; Frederik Cornillie; Fien Depaepe; Annelies Raes; Wim Van den Noortgate; Sameh Said-Metwaly – Journal of Computer Assisted Learning, 2024
Background: Augmented reality (AR) is receiving increasing interest as a tool to create an interactive and motivating learning environment. Yet, it is unclear how instructional support affects performance in AR. Objectives: This study sought to explore how varying the instructional support in AR can affect performance-related behaviours of…
Descriptors: Computer Simulation, Artificial Intelligence, Cognitive Ability, Student Behavior
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Katharina Alexandra Whalen; Alexander Renkl; Alexander Eitel; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: Students often show unfavourable attribution: they attribute poor school performance to stable factors such as lack of ability and good school performance to variable factors such as effort. However, attribution can be influenced by individualized digital re-attributional feedback leading to positive motivational effects and higher…
Descriptors: Feedback (Response), Computer Mediated Communication, Secondary School Mathematics, Student Motivation
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Chak-Him Fung; Kin-Keung Poon; Michael Besser; Ming-Chung Fung – Journal of Computer Assisted Learning, 2024
Background Study: The effects of the flipped classroom (FC) on students' academic performance remain ambiguous, and the use of pre-class videos may be one of the main factors hindering students' progress. A software package called GeoGebra has been proposed as a substitute for pre-class videos to aid students' learning. Objective: This study…
Descriptors: Flipped Classroom, Computer Software, Academic Achievement, Geometry
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Ling Li; Chang-Qin Huang – Journal of Computer Assisted Learning, 2024
Background Study: As flipped learning is a flexible pedagogical methodology to tailor students' needs and maximize the learning effects, this study integrated peer learning with MosoTeach-supported flipped mode in an undergraduate blended EFL course. MosoTeach is a popular online learning platform in China with a variety of learning resources.…
Descriptors: Flipped Classroom, Peer Teaching, Undergraduate Students, Blended Learning
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Onele, Nicholas Ogbonna – Journal of Computer Assisted Learning, 2023
Background: The conventional classroom does not seem to adequately address the gender disparity in technology education. This could negatively affect the contributions of the female gender to national development. There was a need to advance a setting that enhances the participation of women in technology education. Aims: This study evaluated…
Descriptors: Computer Simulation, Employment Opportunities, Females, Technology
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Lee, Yuan-Hsuan – Journal of Computer Assisted Learning, 2023
Background: Implementing English medium instruction (EMI) has become a proliferating measure in higher education to embrace globalization. Nevertheless, university students reported various challenges in taking EMI courses. Objectives: This study investigated the effect of the computer-mediated terminology pretraining on university students' EMI…
Descriptors: Teaching Methods, Language of Instruction, Comparative Analysis, English (Second Language)
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Max, Anna-Lisa; Lukas, Sarah; Weitzel, Holger – Journal of Computer Assisted Learning, 2022
Background: To purposefully integrate information and communication technologies (ICT) into contemporary teaching, teachers must have complex technological, pedagogical and content-related knowledge (TPACK). TPACK could be fostered through diverse learning environments such as working in a makerspace as part of university teacher training. The…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Educational Technology, Technology Uses in Education
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Bissonnette, Steve; Boyer, Christian – Journal of Computer Assisted Learning, 2022
Tingir et al. (2017) concluded from their meta-analysis that the subject areas taught through mobile devices had significantly higher achievement scores (d = 0.48) than the ones taught with traditional teaching methods. Given the relatively high positive effect of mobile devices on student achievement, we carefully analysed the selected research…
Descriptors: Meta Analysis, Electronic Learning, Handheld Devices, Academic Achievement
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Huang, Wen; Roscoe, Rod D.; Johnson-Glenberg, Mina C.; Craig, Scotty D. – Journal of Computer Assisted Learning, 2021
This study investigated changes in learners' motivation, engagement, performance, and spatial reasoning over time and across different levels of virtual reality (VR) immersion. Undergraduate participants explored a virtual solar system via a moderately immersive or highly immersive VR platform over three sessions. In a third condition,…
Descriptors: Student Motivation, Learner Engagement, Academic Achievement, Computer Simulation
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Wang, Yi-Hsuan – Journal of Computer Assisted Learning, 2021
The study designed WebQuest activities and explored the learning performance of learners to understand the suitability of using WebQuest in a college programming course. The study modified the processes of WebQuest based on social constructivism and scaffolding learning, and included programming tasks such as debugging practice to encourage…
Descriptors: Learning Activities, Programming, Academic Achievement, Educational Technology
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Ding, Yan; Zhao, Ting – Journal of Computer Assisted Learning, 2020
Emotions are critical to learning. However, the function of emotions in the emerging context of massive open online courses (MOOCs) has been under-researched. The present study complemented this line of research by modelling the relation between learner emotions, engagement with videos, engagement with assignments, and self-perceived achievement…
Descriptors: Psychological Patterns, Online Courses, Learner Engagement, Educational Technology
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Soffer, Tal; Cohen, Anat – Journal of Computer Assisted Learning, 2019
This study examined students' engagement characteristics in online courses and their impact on academic achievements, trying to distinguish between course completers and noncompleters. Moreover, this research is intended to differentiate between those who pass the final exam and those who do not. Four online courses were examined with a similar…
Descriptors: Learner Engagement, Student Participation, Online Courses, Educational Technology
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Maycock, K. W.; Lambert, J.; Bane, D. – Journal of Computer Assisted Learning, 2018
This action research study follows a between-subject design strategy and attempts to identify whether a departure from a direct instructional teaching strategy towards a flipped learning pedagogy results in increases in student performance over time. In particular, the study considers the effects of integrating flipped learning pedagogic…
Descriptors: Homework, Video Technology, Teaching Methods, Undergraduate Students
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Tingir, S.; Cavlazoglu, B.; Caliskan, O.; Koklu, O.; Intepe-Tingir, S. – Journal of Computer Assisted Learning, 2017
In this meta-analytic study, we investigated the effects of mobile devices on student achievement in science, mathematics and reading in grades K-12. Based on our inclusion criteria, we searched the ERIC and PsycINFO databases and identified 14 peer-reviewed research articles published between 2010 and 2014. We identified the device type, subject…
Descriptors: Handheld Devices, Elementary Secondary Education, Meta Analysis, Academic Achievement
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Yang, X.; Guo, X.; Yu, S. – Journal of Computer Assisted Learning, 2016
This study investigates the quality of course content, behavioural patterns of students and learning performance in teaching of student-generated content (SGC). A total of 49 third-year university students in educational technology participated in this study. By combining the methods of questionnaire, lag sequence analysis and interview, the study…
Descriptors: College Students, Educational Technology, Educational Quality, Course Content
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