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Chiang, Feng-Kuang; Zhu, Dan; Yu, Wenhao – Journal of Computer Assisted Learning, 2022
Background: During the COVID-19 pandemic, online learning has played an increasingly crucial role in the educational system. Academic dishonesty (AD) in online learning is a challenging problem that represents a complex psychological and social phenomenon for learners. However, there is a lack of comprehensive and systematic reviews of AD in…
Descriptors: Cheating, Research Reports, Intervention, COVID-19
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Cress, U.; Held, C. – Journal of Computer Assisted Learning, 2013
Tagging systems represent the conceptual knowledge of a community. We experimentally tested whether people harness this collective knowledge when navigating through the Web. As a within-factor we manipulated people's prior knowledge (no knowledge vs. prior knowledge that was congruent/incongruent to the collective knowledge inherent in the tags).…
Descriptors: Classification, Internet, Prior Learning, Navigation (Information Systems)
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Arnseth, H. C.; Saljo, R. – Journal of Computer Assisted Learning, 2007
The topic of this article concerns how students make sense of categories of progressive inquiry made available to them through a discussion and inquiry type of software called Future Learning Environments 2 (FLE2). The idea behind tools of this kind is to induce approaches to school-work that build on the metaphor of learning as research. By…
Descriptors: Learning Activities, Educational Practices, Classification, Computer Software