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Asma Almusharraf; Hassan Saleh Mahdi; Haifa Al-Nofaie; Amal Aljasser – Journal of Computer Assisted Learning, 2024
Background study: Computer-assisted pronunciation training (CAPT) has emerged as an important resource for second language (L2) pronunciation learning. CAPT offers diverse opportunities for learners to master L2 pronunciation with the help of authentic learning activities in multiple contexts. Objectives: This study presents a comprehensive…
Descriptors: Computer Assisted Instruction, Pronunciation Instruction, Second Language Learning, Second Language Instruction
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Mangaroska, Katerina; Martinez-Maldonado, Roberto; Vesin, Boban; Gaševic, Dragan – Journal of Computer Assisted Learning, 2021
Multimodal data have the potential to explore emerging learning practices that extend human cognitive capacities. A critical issue stretching in many multimodal learning analytics (MLA) systems and studies is the current focus aimed at supporting researchers to model learner behaviours, rather than directly supporting learners. Moreover, many MLA…
Descriptors: Computer Science Education, Student Attitudes, Learning Modalities, Learning Analytics
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Andersen, Martin Stolpe; Klingenberg, Sara; Petersen, Gustav Bøg; Creed, Peter A.; Makransky, Guido – Journal of Computer Assisted Learning, 2023
Background: Research suggests that head-mounted displays (HMD) can spark situational interest when they are used to provide science learning experiences that are not possible in traditional classroom settings. However, few studies have investigated the lasting effects of using HMDs in an authentic instructional intervention. Objectives: We…
Descriptors: Science Interests, Computer Simulation, Science Instruction, Authentic Learning
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Theelen, Hanneke; van Breukelen, Dave H. J. – Journal of Computer Assisted Learning, 2022
Background: Since about 2010 e-learning has been embedded in educational practice and has become, surely due to the COVID-19 pandemic, increasingly important. Objectives: Although much has been written about e-learning, little is known about crucial didactic and pedagogical design principles for e-learning. This review tried to fill that gap.…
Descriptors: Instructional Design, Electronic Learning, Higher Education, COVID-19
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Hwang, Wu-Yuin; Hoang, Anh; Lin, Ya-Hsuan – Journal of Computer Assisted Learning, 2021
With facilitation of advanced technologies, design and application of "smart" become promising research issues in education. Although it is potential for students to learn geometric in authentic contexts, there were still lack of studies addressing "smart" learning issue in authentic context for geometry. This study aim to…
Descriptors: Geometry, Elementary School Students, Computer Assisted Instruction, Authentic Learning
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Burke, Paul F.; Kearney, Matthew; Schuck, Sandy; Aubusson, Peter – Journal of Computer Assisted Learning, 2022
Background: Mobile learning studies often focus on teachers' perspectives. This study instead considers students' experiences of learning with mobile devices (i.e., m-learning) in secondary school mathematics and science. Objectives: The research aims to describe the m-learning experiences of secondary mathematics and science students, and to…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
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Fuhrman, Orly; Eckerling, Anabel; Friedmann, Naama; Tarrasch, Ricardo; Raz, Gal – Journal of Computer Assisted Learning, 2021
A challenging aspect of foreign language acquisition is learning new vocabulary. Research has demonstrated the benefits of motor action to vocabulary learning, though these findings are rarely translated into teaching and learning practices. In this work, we present a novel paradigm for vocabulary learning in a virtual reality environment,…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Recall (Psychology)