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Petri Nokelainen; Terhi Kaarakka; Jani Hirvonen; Ilmari Puhakka; Riikka Kangaslampi; Simo Ali-Löytty; Vikke Vuorenpää; Elina Viro – Journal of Computer Assisted Learning, 2025
Background: First-year engineering mathematics courses present a critical academic challenge, often leading to a significant decline in student self-efficacy, a key predictor of retention and success. While flipped learning is a proposed solution, a lack of longitudinal research using robust comparison groups has limited our understanding of its…
Descriptors: Flipped Classroom, Self Efficacy, Emotional Response, Engineering Education
Chen-Chen Liu; Hai-Jie Wang; Gwo-Jen Hwang; Yun-Fang Tu; Youmei Wang; Kai Chen – Journal of Computer Assisted Learning, 2025
Background: Vocal music education is a skill-oriented course. Students not only need to improve their skills through repeated practice, but also need to learn self-reflection on their singing skills to achieve improvement in their vocal music performance. To promote students' reflection, previous studies have introduced peer assessment (PA) in…
Descriptors: Music Education, Singing, Skill Development, Reflection
Seyma Çaglar-Özhan; Perihan Tekeli; Selay Arkün-Kocadere – Journal of Computer Assisted Learning, 2025
Background: Feedback is an essential part of the educational process as it enriches students' learning experiences, provides information about their current performance, shows them what is lacking in achieving goals, and provides guidance on the strategies needed to achieve those goals. Teachers, especially in crowded classrooms, often have…
Descriptors: Feedback (Response), Artificial Intelligence, Teacher Role, Technology Uses in Education
Piia Näykki; Saara Pyykkönen; Jenni Latva-aho; Tuula Nousiainen; Emilia Ahlström; Tapio Toivanen – Journal of Computer Assisted Learning, 2024
Background: In recent years, the use of virtual reality (VR) environments for education has gained interest in research and education. However, little is known about the potential of social VR environments for collaborative learning. Objectives: This study explores pre-service teachers' (PSTs') collaborative learning and role-based drama activity,…
Descriptors: Computer Simulation, Cooperative Learning, Preservice Teachers, Drama
Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
Han, Insook; Shin, Hyoung Seok; Ko, Yujung; Shin, Won Sug – Journal of Computer Assisted Learning, 2022
Background: Immersive VR is still rarely used as an intervention for meeting the affective end goals of student learning despite its positive impact on affection. Also, studies regarding the use of immersive VR as an intervention for affective achievement in broader educational contexts are still lacking. Objectives: This study aimed to examine…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Program Effectiveness
Muhammet Fidan; Mustafa Fidan – Journal of Computer Assisted Learning, 2024
Background: Flipped classroom (FC) model has become increasingly popular in dental education (DE) with its strengths for students. However, major concerns are lack of interaction, unwillingness to complete the assignments, low engagement during the pre-class activities because of an unwell-designed instructional setting of FC. Objectives: The…
Descriptors: Flipped Classroom, Dentistry, Graduate Students, Video Technology
Min Young Doo; Yeonjeong Park – Journal of Computer Assisted Learning, 2024
Background: Despite the many advantages of flipped learning, it is challenging for educators to ensure that students complete the pre-class learning assignments before the in-class session. Objectives: Using a learning analytics approach, this study analysed students' pre-class video-watching behaviour in flipped learning with a focus on learners'…
Descriptors: Flipped Classroom, Video Technology, Student Behavior, Learning Strategies
Maware, Catherine; Parsley, David M.; Huang, Kun; Swan, Gerry M.; Akafuah, Nelson – Journal of Computer Assisted Learning, 2023
Background: Online learning has recently surged due to the COVID-19 global pandemic. Because of the pandemic, many universities were forced to move to online learning, and various online teaching and learning environments emerged, both asynchronous and synchronous. Objective: This study explores how a large university in the Southeastern United…
Descriptors: COVID-19, Pandemics, Online Courses, Higher Education
Fischer, Julian; Machts, Nils; Bruckermann, Till; Möller, Jens; Harms, Ute – Journal of Computer Assisted Learning, 2022
Background: The professional knowledge of pre-service teachers is highly important for effective and successful teaching. In recent years, many research groups have been engaged in developing simulated classroom environments to capture especially the pedagogical knowledge (PK) of pre-service teachers, neglecting the content-related facets of…
Descriptors: Preservice Teachers, Preservice Teacher Education, Biology, Pedagogical Content Knowledge
Li, Wenjing; Wang, Fuxing; Mayer, Richard E.; Liu, Tao – Journal of Computer Assisted Learning, 2022
Background: With the rapid popularization of e-learning, how to improve online learning has aroused widespread concern. A human-like pedagogical agent (PA) that displays eye gaze and gestures, is often added to online multimedia lessons to increase social connection and improve learning in e-learning environments. However, there has been a debate…
Descriptors: Online Courses, Animation, Educational Technology, Technology Uses in Education
Tsay, Crystal Han-Huei; Kofinas, Alexander K.; Trivedi, Smita K.; Yang, Yang – Journal of Computer Assisted Learning, 2020
Learners in the higher education context who engage with computer-based gamified learning systems often experience the novelty effect: a pattern of high activity during the gamified system's introduction followed by a drop in activity a few weeks later, once its novelty has worn off. We applied a two-tiered motivational, online gamified learning…
Descriptors: Higher Education, College Students, Computer Games, Game Based Learning
Baruth, Orit; Gabbay, Hagit; Cohen, Anat; Bronshtein, Alla; Ezra, Orit – Journal of Computer Assisted Learning, 2021
Background: The outbreak of the novel coronavirus (COVID-19) at the beginning of 2020 forced most higher education institutions to shift immediately from traditional learning to distance learning and emergency remote teaching (ERT). Objectives: This research aimed to capture the authentic sounds of this unusual learning experience from the field…
Descriptors: COVID-19, Pandemics, Distance Education, School Closing
Fan, Ya-Ching; Wang, Tzu-Hua; Wang, Kuo-Hua – Journal of Computer Assisted Learning, 2020
This research develops a web-based model, entitled the "intuitive claim, peer-assessment, discussion, and elaborate claim argumentation training" (IPadE) model, and embeds with a Web-based Interactive Argumentation System to enhance undergraduate students' socioscientific argumentation abilities. This research adopts a quasi-experimental…
Descriptors: Persuasive Discourse, Educational Technology, Web Based Instruction, Undergraduate Students
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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