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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
Aysel Sahin Kizil; Blanka Klimova; Marcel Pikhart; Antigoni Parmaxi – Journal of Computer Assisted Learning, 2025
Background: The rise of intelligent chatbots powered by artificial intelligence and machine learning has ignited interest in their potential for revolutionising second language (L2) acquisition and foreign language learning (FLL). While their potential seems vast, understanding their actual impact on learning outcomes requires comprehensive…
Descriptors: Educational Research, Artificial Intelligence, Computer Software, Synchronous Communication
Frohberg, D.; Goth, C.; Schwabe, G. – Journal of Computer Assisted Learning, 2009
This paper provides a critical analysis of Mobile Learning projects published before the end of 2007. The review uses a Mobile Learning framework to evaluate and categorize 102 Mobile Learning projects, and to briefly introduce exemplary projects for each category. All projects were analysed with the criteria: context, tools, control,…
Descriptors: Handheld Devices, Distance Education, Program Descriptions, Computer Mediated Communication
Luik, P. – Journal of Computer Assisted Learning, 2007
It is important for the teacher to choose effective software for students. It is also important for designers to know what features of educational software make it effective. But the results of studies dealing with the effectiveness of educational software are contradictory. One reason for such results might be the fact that meta-analysis covers…
Descriptors: Program Effectiveness, Drills (Practice), Courseware, Computer Software Evaluation