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Direct linkGabriela Trindade Perry; Marlise Bock Santos – Journal of Computer Assisted Learning, 2024
Background: Instances of academic dishonesty are common in online learning environments because difficulties in their detection result in considerably low degrees of risks. However, if not identified, the noise introduced by dishonest learners in MOOCs' clickstream data could lead to biased results and conclusions in scientific research.…
Descriptors: Foreign Countries, MOOCs, Distance Education, Electronic Learning
Akturk, Ahmet Oguz – Journal of Computer Assisted Learning, 2022
Background: "Journal of Computer Assisted Learning" ("JCAL"), which started its publication life in 1985, is a leading international journal in the field of computer and instructional technologies and celebrated its 35th anniversary in 2020. Objectives: This study aims to provide a bibliometric overview of leading publication…
Descriptors: Periodicals, Bibliometrics, Citations (References), Educational Technology
Saman Rizvi; Bart Rienties; Jekaterina Rogaten; René F. Kizilcec – Journal of Computer Assisted Learning, 2024
Background: Extensive research on massive open online courses (MOOCs) has focused on analysing learners' behavioural trace data to understand navigation and activity patterns, which are known to vary systematically across geo-cultural contexts. However, the perception of learners regarding the role of different learning design elements in…
Descriptors: MOOCs, Inclusion, Instructional Design, Participant Characteristics
