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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
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
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
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)
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
Yavuz Akbulut; Onur Dönmez; Beril Ceylan; Tayfun Firat – Journal of Computing in Higher Education, 2025
Providing pre-training on new material can simplify complex content for learners who may need guidance to understand basic facts and organize their efforts. However, the effect of pre-training on learning outcomes is controversial because it tends to vary by context. Our aim was to investigate the effectiveness of pre-training in reducing…
Descriptors: Training, Cognitive Processes, Difficulty Level, Academic Achievement
Jelena Andelkovic Labrovic; Nikola Petrovic; Jelena Andelkovic; Marija Meršnik – Journal of Computing in Higher Education, 2025
The focus of this study was on identifying patterns of student behavior to support data-informed decision-making which would then improve the learning experience and learning outcomes of online English language courses. Learning analytics approach (or more specifically cluster analysis) was used to identify engagement patterns in online learning.…
Descriptors: Electronic Learning, Online Courses, Behavior Patterns, Student Behavior
Marvin Evans; Elizabeth Trolli; Ashlyn Pierson; Shantanu Tilak – Journal of Computing in Higher Education, 2025
College graduates, especially teachers, often feel alienated when starting their careers as they may lack robust support systems to help them address daily difficulties. Researchers study online learning communities as a model to address this missing support system; however, very little research exists on the benefits of embedding these learning…
Descriptors: Instructional Design, Curriculum Design, Electronic Learning, STEM Education

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