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Tran-Duong, Quoc Hoa; Vo-Thi, Ngoc-Tram – Journal of Computer Assisted Learning, 2023
Background: Recent years have seen the proliferation of online courses that have been initiated either in accordance with the natural rhythms of educational technology growths or in force majeure situations. This adds complexity to understanding the influence of potential factors on online student engagement. Objectives: The present study…
Descriptors: Undergraduate Students, Electronic Learning, Learner Engagement, Social Media
Slaviša Radovic; Niels Seidel; Joerg M. Haake; Regina Kasakowskij – Journal of Computer Assisted Learning, 2024
Background: Self-assessment serves to improve learning through timely feedback on one's solution and iterative refinement as a way to improve one's competence. However, the complexity of the self-assessment process is widely recognized, as well as that students can benefit from it only if their assessment is accurate enough. Objectives: In order…
Descriptors: Self Evaluation (Individuals), Distance Education, Student Behavior, Accuracy
Hoi, Vo Ngoc; Le Hang, Ho – Journal of Computer Assisted Learning, 2021
Enhancing student engagement plays a critical role in reducing student drop-out rate in online learning as students usually feel isolated and disconnected in this learning environment. This requires a clear conceptualization of the student engagement construct and its underlying structure. However, the conceptual understanding of the student…
Descriptors: Learner Engagement, Electronic Learning, Structural Equation Models, Factor Analysis
Okan Bulut; Guher Gorgun; Seyma Nur Yildirim-Erbasli – Journal of Computer Assisted Learning, 2025
Background: Research shows that how formative assessments are operationalized plays a crucial role in shaping their engagement with formative assessments, thereby impacting their effectiveness in predicting academic achievement. Mandatory assessments can ensure consistent student participation, leading to better tracking of learning progress.…
Descriptors: Formative Evaluation, Academic Achievement, Student Participation, Learning Processes
Hirshfield, Laura J.; Koretsky, Milo D. – Journal of Computer Assisted Learning, 2021
In engineering design, engineers must be able to think creatively, effectively toggling between divergent thinking (developing multiple novel ideas) and convergent thinking (pursuing an appropriate idea using engineering analyses). However, creative thinking is not emphasized in many undergraduate engineering programs. In this empirical study, we…
Descriptors: Creative Thinking, Engineering Education, Cooperative Learning, Electronic Learning
Yi-Fan Li; Jue-Qi Guan; Xiao-Feng Wang; Qu Chen; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: Self-regulated learning (SRL) is a predictive variable in students' academic performance, especially in virtual reality (VR) environments, which lack monitoring and control. However, current research on VR encounters challenges in effective interventions of cognitive and affective regulation, and visualising the SRL processes using…
Descriptors: Electronic Learning, Individualized Instruction, Learning Processes, Performance
Zhang, Ruonan; Bi, Nicky Chang; Mercado, Trinidee – Journal of Computer Assisted Learning, 2023
Background: Online learning and teaching were globally popularized due to the impact of COVID-19. The pandemic has made both synchronous and asynchronous online learning inevitable in regions privileged with the technological affordance. Aims: This study was designed to examine and compare the effectiveness of both learning modes through the…
Descriptors: Undergraduate Students, Synchronous Communication, Asynchronous Communication, Electronic Learning
Ucar, Hasan; Kumtepe, Alper Tolga – Journal of Computer Assisted Learning, 2020
This exploratory experimental study investigates the impact of motivational strategies based on the Attention, Relevance, Confidence, Satisfaction, and Volition (ARCS-V) model on online learners' academic performance, motivation, volition, and course interest. The research was conducted over an 11-week semester with 122 undergraduate online…
Descriptors: Motivation Techniques, Student Motivation, Online Courses, Electronic Learning
Heo, Heeok; Bonk, Curtis J.; Doo, Min Young – Journal of Computer Assisted Learning, 2021
Background: Due to the global COVID-19 pandemic, online learning became the only way to learn during this unprecedented crisis. This study began with a simple but vital question: What factors influenced the success of online learning during the COVID-19 pandemic with a focus on online learning self-efficacy? Objectives: The purpose of this study…
Descriptors: Learner Engagement, Technology Integration, Technological Literacy, Self Efficacy
Firat, Mehmet; Kilinç, Hakan; Yüzer, Tevfik Volkan – Journal of Computer Assisted Learning, 2018
According to researches, motivation that initiates and sustains behaviour is one of the most significant components of learning in any environment. Accordingly, level of intrinsic motivation triggers and sustains the interest of the open and distance education students when it comes to learning on their own in e-learning environments. Despite a…
Descriptors: Distance Education, Student Motivation, Electronic Learning, Educational Technology
Magana, Alejandra J.; Serrano, Mayari I.; Rebello, N. Sanjay – Journal of Computer Assisted Learning, 2019
Virtual learning environments can now be enriched not only with visual and auditory information, but also with tactile and kinesthetic feedback. However, the way to successfully integrate haptic feedback on a multimodal learning environment is still unclear. This study aims to provide guidelines on how visuohaptic simulations can be implemented…
Descriptors: Sequential Learning, Student Development, Concept Formation, Electronic Learning
Roles of Working Memory Performance and Instructional Strategy in Complex Cognitive Task Performance
Cevik, V.; Altun, A. – Journal of Computer Assisted Learning, 2016
This study aims to investigate how working memory (WM) performances and instructional strategy choices affect learners' complex cognitive task performance in online environments. Three different e-learning environments were designed based on Merrill's (2006a) model of instructional strategies. The lack of experimental research on his framework is…
Descriptors: Short Term Memory, Educational Strategies, Cognitive Processes, Electronic Learning
Gyllen, J.; Stahovich, T.; Mayer, R. – Journal of Computer Assisted Learning, 2018
Time on task has been recognized as an important variable in academic learning, but self-report measures of study time are problematic. Therefore, this study employs an automated system for recording time spent reading a course textbook. College students in an introductory engineering course accessed their textbook online. The book contained pages…
Descriptors: Undergraduate Students, Engineering Education, Electronic Learning, Electronic Publishing
Thai, Ngoc Thuy Thi; De Wever, Bram; Valcke, Martin – Journal of Computer Assisted Learning, 2020
This study compares four learning environments: face-to-face learning (F2F), fully e-learning (EL), blended learning (BL), and flipped classroom (FC) with respect to students' learning performance. Moreover, this present research studies changes in perceived flexibility, intrinsic motivation, self-efficacy beliefs of students, and the interaction…
Descriptors: Blended Learning, Teaching Methods, Comparative Analysis, Self Efficacy
Waheed, M.; Kaur, K.; Kumar, S. – Journal of Computer Assisted Learning, 2016
Quality knowledge has an impact on online students learning outcomes and loyalty. A framework that delineates the perceived eLearning knowledge quality (KQ) and its relationship with learning outcomes and loyalty is currently absent. Grounded in the KQ and information system success framework--this study presents the indicators of perceived…
Descriptors: Electronic Learning, Student Satisfaction, Outcomes of Education, Undergraduate Students
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