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Showing 1 to 15 of 56 results Save | Export
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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
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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
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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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Cheng, Zui; Richardson, Jennifer C.; Newby, Timothy J. – Journal of Computing in Higher Education, 2020
Students' goal-setting skills are highly related to their academic learning performance and level of motivation. A review of the literature demonstrated limited research on both applicable goal-setting strategies in higher education and the support of technology in facilitating goal-setting processes. Addressing these two gaps, this study explored…
Descriptors: Recognition (Achievement), Goal Orientation, Academic Achievement, Student Motivation
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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
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van der Meij, Hans; Böckmann, Linn – Journal of Computing in Higher Education, 2021
Online video-recorded lectures have become an increasingly more important means for student learning (e.g., in flipped classrooms). However, getting students to process these lectures sufficiently to come to class well-prepared is a challenge for educators. This paper investigates the effectiveness of open-ended embedded questions for…
Descriptors: Lecture Method, Video Technology, Electronic Learning, Questioning Techniques
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Maatuk, Abdelsalam M.; Elberkawi, Ebitisam K.; Aljawarneh, Shadi; Rashaideh, Hasan; Alharbi, Hadeel – Journal of Computing in Higher Education, 2022
The spread of COVID-19 poses a threat to humanity, as this pandemic has forced many global activities to close, including educational activities. To reduce the spread of the virus, education institutions have been forced to switch to e-learning using available educational platforms, despite the challenges facing this sudden transformation. In…
Descriptors: COVID-19, Pandemics, Electronic Learning, Higher Education
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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
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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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Thampy, Harish; Collins, Sarah; Baishnab, Elora; Grundy, Jess; Wilson, Kurt; Cappelli, Timothy – Journal of Computing in Higher Education, 2023
As a result of the COVID-19 pandemic, medical education institutions were suddenly and unexpectedly faced with making significant changes in delivering their clinical assessments to comply with social distancing requirements and limited access to clinical education centres. Seeking a potential solution to these new circumstances, we designed,…
Descriptors: Medical Education, Decision Making, Electronic Learning, Technology Uses in Education
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Vate-U-Lan, Poonsri – Journal of Computing in Higher Education, 2020
This paper reports on the findings of a study pertaining to the psychological impact of e-learning on social network sites. The findings have resulted by means of a correlational analysis between attitude towards e-learning on social network sites and satisfaction with life of students experienced with e-learning experiences. It was based on an…
Descriptors: Student Attitudes, Electronic Learning, Social Media, Educational Technology
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Chahal, Jyoti; Rani, Neha – Journal of Computing in Higher Education, 2022
The concept of e-learning has now become fundamental in student learning process. This concept becomes even more relevant in situations of global crisis such as that arising from COVID-19. Since this pandemic there have been tectonic shifts in the education sector. Effective implementation of e-learning in higher education depends on students'…
Descriptors: Foreign Countries, Electronic Learning, COVID-19, Pandemics
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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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Zahedi, Leila; Batten, Jasmine; Ross, Monique; Potvin, Geoff; Damas, Stephanie; Clarke, Peter; Davis, Debra – Journal of Computing in Higher Education, 2021
Underrepresentation of women in computer science (CS) increasingly demands the necessity to find and enhance current learning engagement approaches to bring more women into computing fields. Some researchers have been exploring the influence of gamification on female students as one of these possible learning engagement strategies. Gamification…
Descriptors: Game Based Learning, Computer Science Education, Females, Self Concept
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Sáiz-Manzanares, María Consuelo; Marticorena-Sánchez, Raúl; Rodríguez-Díez, Juan José; Rodríguez-Arribas, Sandra; Díez-Pastor, José Francisco; Ji, Yi Peng – Journal of Computing in Higher Education, 2021
Monitoring students in Learning Management Systems (LMS) throughout the teaching--learning process has been shown to be a very effective technique for detecting students at risk. Likewise, the teaching style in the LMS conditions, the type of student behaviours on the platform and the learning outcomes. The main objective of this study was to test…
Descriptors: Integrated Learning Systems, Teaching Methods, Instructional Effectiveness, Electronic Learning
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