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Laduona Dai; Veronika Kritskaia; Evelien van der Velden; Reinder Vervoort; Marlieke Blankendaal; Merel M. Jung; Marie Šafár Postma; Max M. Louwerse – Journal of Computer Assisted Learning, 2024
Background: The integration of Text-to-Speech (TTS) and virtual reality (VR) technologies in K-12 education is an emerging trend. However, little is known about how students perceive these technologies and whether these technologies effectively facilitate learning. Objectives: This study aims to investigate the perception and effectiveness of TTS…
Descriptors: Computer Simulation, Assistive Technology, Elementary Education, Technology Uses in Education
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Stevenson, Michael; Lai, Jennifer W. M.; Bower, Matt – Journal of Computer Assisted Learning, 2022
Background: Screen-sharing technologies enable applications such as screen mirroring, video streaming and instant messaging across multiple device screens. Despite their increasing use in many contemporary classrooms, there is a paucity of research directly examining pedagogical benefits and issues of these technologies. Objectives: This study…
Descriptors: Elementary School Teachers, Secondary School Teachers, Educational Technology, Technology Uses in Education
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Theelen, Hanneke; van den Beemt, Antoine; den Brok, Perry – Journal of Computer Assisted Learning, 2019
Noticing and interpreting classroom events (professional vision) is an important element of preservice teachers' (PSTs) interpersonal competence. This paper presents a mixed-method study about a classroom simulation using 360-degree videos combined with theoretical lectures in teacher education, intended to improve PSTs' interpretations of noticed…
Descriptors: Teaching Methods, Video Technology, Preservice Teacher Education, Preservice Teachers
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Filius, Renée M.; de Kleijn, Renske A. M.; Uijl, Sabine G.; Prins, Frans J.; van Rijen, Harold V. M.; Grobbee, Diederick E. – Journal of Computer Assisted Learning, 2019
We investigated the relation between providing and receiving audio peer feedback with a deep approach to learning within online education. Online students were asked to complete peer feedback assignments. Data through a questionnaire with 108 respondents and 14 interviews were used to measure to what extent deep learning was perceived and why.…
Descriptors: Feedback (Response), Peer Influence, Online Courses, Educational Technology