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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
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
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
Zhaokun Meng; Rui Li – Journal of Computing in Higher Education, 2024
While extensive studies on informal online learning have been well documented to afford teachers' collaborative learning and knowledge sharing, little is still known about their motivational factors regarding the continuance intention of informal online learning. To this end, an extended expectation confirmation model (ECM) was proposed including…
Descriptors: Informal Education, Teacher Attitudes, Communities of Practice, Computer Mediated Communication
Fan Xu; Ana-Paula Correia – Journal of Computing in Higher Education, 2024
As online learning has become an inevitable trend in the post-peak era of the COVID-19 pandemic, distributed pair programming (DPP) is gaining momentum in both education and industry. DDP serves as a collaborative programming approach and also benefits the development of computational thinking, a fundamental skill in today's world. This study…
Descriptors: Programming, Computer Science Education, Cooperative Learning, Learning Activities
Ünal Çakiroglu; Mehmet Kokoç; Melek Atabay – Journal of Computing in Higher Education, 2024
This profiling study deals with the self-regulated learning skills of online learners based on their interaction behaviors on the learning management system. The learners were profiled through their interaction behaviors via cluster analysis. Following a correlational model with the interaction data of learners, the post-test questionnaire data…
Descriptors: Foreign Countries, Undergraduate Students, Teacher Education Programs, Educational Technology
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
Yuru Lin; Yi Zhang; Yuqin Yang; Yijie Lu; Pinghong Zhou; Yichi Wang – Journal of Computing in Higher Education, 2024
This study examined and compared the effects of two types of online peer assessment, namely, "free selection and invitation" (FS&I) assessment and the commonly implemented "assigned-pair" (AP) assessment, on undergraduates' research competencies, flow, motivation, and interaction, supported by the Cloud Classroom online…
Descriptors: Electronic Learning, Peer Evaluation, Undergraduate Students, Research Skills
Kristian J. Spring; Charles R. Graham; Courtney N. Hanny; Sara Tuiloma; Kamal Badar – Journal of Computing in Higher Education, 2024
Institutions of higher education are interested in supporting the academic success of their students in the most effective ways possible. Increasingly, this means engaging students in a blend of both online and in-person learning activities as well as connecting students with supportive communities in both modalities. This research explores the…
Descriptors: Higher Education, Postsecondary Education, Learning Experience, Social Support Groups
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