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Elena Drugova; Irina Zhuravleva; Ulyana Zakharova; Adel Latipov – Journal of Computer Assisted Learning, 2024
Background: Driven by the ongoing need to provide high-quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear. Objectives: This study is aimed to…
Descriptors: Learning Analytics, Instructional Design, Higher Education, Instructional Improvement
Evi-Colombo, Alessia; Cattaneo, Alberto; Bétrancourt, Mireille – Journal of Computer Assisted Learning, 2023
Background: While the use of digital technologies in collaborative design tasks have gained acceptance amongst educational researchers and instructors, few studies have analysed the application of video-supported collaborative learning-by-design (VSC-LBD) in the authentic setting of professional education and training. Objectives: This study on…
Descriptors: Knowledge Level, College Students, Nursing Education, Instructional Effectiveness
Gerti Pishtari; María Jesús Rodríguez-Triana; Luis P. Prieto; Adolfo Ruiz-Calleja; Terje Väljataga – Journal of Computer Assisted Learning, 2024
Background: In the field of Learning Design, it is common that researchers analyse manually design artefacts created by practitioners, using pedagogically-grounded approaches (e.g., Bloom's Taxonomy), both to understand and later to support practitioners' design practices. Automatizing these high-level pedagogically-grounded analyses would enable…
Descriptors: Electronic Learning, Instructional Design, Active Learning, Inquiry
van Harsel, Milou; Hoogerheide, Vincent; Verkoeijen, Peter; van Gog, Tamara – Journal of Computer Assisted Learning, 2022
Nowadays, students often practice problem-solving skills in online learning environments with the help of examples and problems. This requires them to self-regulate their learning. It is questionable how novices self-regulate their learning from examples and problems and whether they need support. The present study investigated the open questions:…
Descriptors: Sequential Learning, Independent Study, Problem Solving, Electronic Learning
Cohen, A.; Holstein, S. – Journal of Computer Assisted Learning, 2018
This research examines the characteristics that contributed to the success of massive open online courses (MOOCs) in the fields of software, sciences, and management using data mining and semantic analysis together with content analysis. A total of 3,460 reviews regarding 5 different MOOCs that received a 5/5 grade were extracted from the…
Descriptors: Online Courses, Communities of Practice, Instructional Effectiveness, Outcomes of Education
Klopfer, E.; Sheldon, J.; Perry, J.; Chen, V. H. -H. – Journal of Computer Assisted Learning, 2012
This paper provides a rationale for a class of mobile, casual, and educational games, which we call UbiqGames. The study is motivated by the desire to understand how students use educational games in light of additional distractions on their devices, and how game design can make those games appealing, educationally useful, and practical. In…
Descriptors: Electronic Learning, Educational Technology, Educational Games, Learning Activities
Tsai, P.-S.; Tsai, C.-C.; Hwang, G.-J. – Journal of Computer Assisted Learning, 2012
This study developed a survey to explore students' preferences in constructivist context-aware ubiquitous learning environments. A constructivist context-aware ubiquitous learning (u-learning) environment survey (CULES) was developed, consisting of eight scales, including ease of use, continuity, relevance, adaptive content, multiple sources,…
Descriptors: Constructivism (Learning), Student Attitudes, Learning Activities, Foreign Countries

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