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Allan Grogan; Kamphol Wipawayangkool – Journal of Computing in Higher Education, 2025
The rise of online and hybrid learning in universities, especially due to the pandemic, has not only revolutionized how students learn, but also blurred the boundaries between work, school, and leisure activities because of the pervasive use of technology surrounding students in their daily lives. The purpose of this study is to investigate, using…
Descriptors: Self Efficacy, Time Management, Undergraduate Students, Influence of Technology
Weidlich, Joshua; Göksün, Derya Orhan; Kreijns, Karel – Journal of Computing in Higher Education, 2023
Social presence is an important concept for understanding psychosocial processes in learning scenarios that make extensive use of mediated communication like online distance learning. Despite this centrality, a coherent and nuanced theory of social presence is yet to emerge from the literature. Past research has shown associations with desirable…
Descriptors: Electronic Learning, Distance Education, Student Experience, Preferences
Jan Schneider; Bibeg Limbu; Natalie Kiesler – Journal of Computing in Higher Education, 2025
Educational Technologies (EdTech) and Technology-Enhanced Learning (TEL) are established fields of academic research with the potential to transform educational practices and outcomes. Yet, they are currently facing several problems that undermine their efficacy and relevance. In this discussion paper, we examine recurrent complaints of…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, Electronic Learning
Moon-Heum Cho; Tianxiao Yang; Zhijuan Niu; Jae Kum Kim – Journal of Computing in Higher Education, 2024
The purpose of this study was to investigate learners' experiences in marketing Massive Open Online Courses (MOOCs). The comments of 255 learners, collected from three top-rated marketing MOOCs, were analyzed with MAXQDA, a content analysis software. The analysis of the 517 meanings (unit of analysis) that emerged from these comments produced five…
Descriptors: Business Administration Education, Marketing, Learning Experience, MOOCs
Kerstin Huber; Maria Bannert – Journal of Computing in Higher Education, 2024
The empirical study investigates what log files and process mining can contribute to promoting successful learning. We want to show how monitoring and evaluation of learning processes can be implemented in the educational life by analyzing log files and navigation behavior. Thus, we questioned to what extent log file analyses and process mining…
Descriptors: Learning Processes, Data Analysis, Navigation (Information Systems), Student Behavior
Zui Cheng; Zhuo Zhang; Qian Xu; Yukiko Maeda; Peidi Gu – Journal of Computing in Higher Education, 2025
Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…
Descriptors: Meta Analysis, Independent Study, Learning Strategies, Academic Achievement
Redmond, Petrea; Foote, Stephanie M.; Brown, Alice; Mixson-Brookshire, Deborah; Abawi, Lindy-Anne; Henderson, Robyn – Journal of Computing in Higher Education, 2022
Extensive literature within the learning sciences addresses the phenomenon of online engagement and strategies that support online learning. However, for academics, there is limited guidance to support them in the processes of reflecting on efforts to facilitate online learner engagement and, ultimately, to use those reflections to redesign…
Descriptors: Critical Thinking, Reflection, Electronic Learning, Learner Engagement
Ferhan Sahin; Yusuf Levent Sahin; Muhammet Recep Okur – Journal of Computing in Higher Education, 2025
While the significance of motivation in the adoption of mobile learning has been well-documented in numerous studies, empirical evidence regarding the roles of cognitive, social, and affective needs remains limited. This presents a notable gap in the field of education concerning the influence of motivational factors on mobile learning acceptance.…
Descriptors: Electronic Learning, Technology Uses in Education, Technology Integration, Adoption (Ideas)
Xue Zhou; Christopher James MacBride Smith; Hosam Al-Samarraie – Journal of Computing in Higher Education, 2024
COVID-19 dramatically influenced students' and staff's learning and teaching experiences and approaches to learning. While many papers examined individual experiences in the context of higher education, synthesising these papers to determine enabling and hindering influences of digital adaptation was needed to guide the next phase of online…
Descriptors: COVID-19, Pandemics, Higher Education, Educational Technology
Helen Donelan; Karen Kear – Journal of Computing in Higher Education, 2024
With the rapid adoption of online learning across higher education, there is an urgent need to identify its challenges and ways of addressing them. Online group projects, in particular, present significant issues for educators. This paper presents the findings of a systematic literature review identifying the key challenges of online group…
Descriptors: Higher Education, Electronic Learning, Cooperative Learning, Barriers
Tuba Gezer; Stella Y. Kim; Othelia EunKyoung Lee – Journal of Computing in Higher Education, 2025
Considering the rise of online education and an increasing number of students with disabilities in higher education, examining the validity of the Self-efficacy Questionnaire for Online Learning (SeQoL) for students with disabilities is warranted. The purpose of this study is to examine the reliability and validity of (SeQoL; Shen et al., 2013)…
Descriptors: College Students, Students with Disabilities, Test Validity, Self Efficacy
Karaoglan Yilmaz, Fatma Gizem – Journal of Computing in Higher Education, 2022
This research examined the effect of learning analytics (LA) on students' metacognitive awareness and academic achievement in an online learning environment. In this study, a mixed methods approach was used and applied as a quasi-experimental design. The results of LA were sent to students weekly in LA group (experimental group) via learning…
Descriptors: Learning Analytics, Feedback (Response), Metacognition, Academic Achievement
Liu, Sannyuya; Kang, Lingyun; Liu, Zhi; Zhao, Liang; Yang, Zongkai; Su, Zhu – Journal of Computing in Higher Education, 2023
Understanding the relationship between interactive behaviours and discourse content has critical implications for instructors' design and facilitation of collaborative discussion activities in the online discussion forum (ODF). This paper adopts social network analysis (SNA) and epistemic network analysis (ENA) methods to jointly investigate the…
Descriptors: Discussion, Electronic Learning, Outcomes of Education, Interaction
Derek McClellan; Raymond J. Chastain; Marci S. DeCaro – Journal of Computing in Higher Education, 2024
Use of online video lectures is increasingly common. However, students may struggle to self-regulate their attention and passively process the content. This study examined whether, and for whom, different types of embedded learning prompts improve student learning from video lectures. Undergraduate physics students (N = 253) watched an online,…
Descriptors: Video Technology, Electronic Learning, Lecture Method, Prompting
Manasa Devi, Mortha; Seetha, Maddala; Viswanadha Raju, Somalaraju – Journal of Computing in Higher Education, 2021
Automated text detection and analysis holds incredible potential for research in higher education. It is challenging because higher education institutes produce an enormous amount and variety of texts, letters, articles, books, reports etc. Futuristic E-learning based education replaces the difficulty of understanding the semantic meaning of the…
Descriptors: Online Courses, Higher Education, Video Technology, Educational Technology

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