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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
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Joseph T. Wong; Bradley S. Hughes – Journal of Computing in Higher Education, 2023
Higher education may benefit from investigating alternative evidence-based methods of online learning to understand students' learning behaviors while considering students' social cognitive motivational traits. Researchers conducted an in situ design-based research (DBR) study to investigate learner experience design (LXD) methods, deploying…
Descriptors: Undergraduate Students, Learning Motivation, Student Behavior, Learning
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Juming Jiang; Patricia D. Simon; Luke K. Fryer – Journal of Computing in Higher Education, 2025
Learning management systems (LMS) have emerged as a standard component of higher education institutions for the web-based delivery and management of courses. The COVID-19 pandemic highlighted the value of LMS in facilitating online teaching and learning. However, the significance of examining the factors that impact LMS use success during the…
Descriptors: Learning Management Systems, Student Experience, Chinese, English
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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
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Janna Knickerbocker; Andrew A. Tawfik – Journal of Computing in Higher Education, 2025
Research in computer-supported collaborative learning has explored various ways to support learner-learner interaction as healthcare professionals engage in online formats. While studies have explored various socio-emotional learning outcomes, learners' psychological safety has yet to be explored as healthcare professionals engage in collaborative…
Descriptors: Safety, Psychological Patterns, Computer Mediated Communication, Social Emotional Learning
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Yang, He; Cai, Jin; Yang, Harrison Hao; Wang, Xiaochen – Journal of Computing in Higher Education, 2023
With the outbreak of the COVID-19 pandemic, blended learning became exceptionally widespread, especially in higher education. As a result, many college students became beginners in this learning method. To identify key factors that impact beginners' continuance intention in blended learning, this study surveyed 1845 first-year college students at…
Descriptors: Blended Learning, Higher Education, Academic Ability, Self Efficacy
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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