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Gabriela 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
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Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
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Laduona Dai; Veronika Kritskaia; Evelien van der Velden; Reinder Vervoort; Marlieke Blankendaal; Merel M. Jung; Marie Šafár Postma; Max M. Louwerse – Journal of Computer Assisted Learning, 2024
Background: The integration of Text-to-Speech (TTS) and virtual reality (VR) technologies in K-12 education is an emerging trend. However, little is known about how students perceive these technologies and whether these technologies effectively facilitate learning. Objectives: This study aims to investigate the perception and effectiveness of TTS…
Descriptors: Computer Simulation, Assistive Technology, Elementary Education, Technology Uses in Education
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Gruss, Richard; Clemons, Josh – Journal of Computer Assisted Learning, 2023
Background: The sudden growth in online instruction due to COVID-19 restrictions has given renewed urgency to questions about remote learning that have remained unresolved. Web-based assessment software provides instructors an array of options for varying testing parameters, but the pedagogical impacts of some of these variations has yet to be…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Mathematics Tests
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Nikola Ebenbeck; Morten Bastian; Andreas Mühling; Markus Gebhardt – Journal of Computer Assisted Learning, 2024
Background: Computerised adaptive tests (CATs) are tests that provide personalised, efficient and accurate measurement while reducing testing time, depending on the desired level of precision. Schools have different types of assessments that can benefit from a significant reduction in testing time to varying degrees, depending on the area of…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Public Schools, Special Schools
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Angxuan Chen; Yuyue Zhang; Jiyou Jia; Min Liang; Yingying Cha; Cher Ping Lim – Journal of Computer Assisted Learning, 2025
Background: Language assessment plays a pivotal role in language education, serving as a bridge between students' understanding and educators' instructional approaches. Recently, advancements in Artificial Intelligence (AI) technologies have introduced transformative possibilities for automating and personalising language assessments. Objectives:…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Language Tests
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Candel, Carmen; Vidal-Abarca, Eduardo; Cerdán, Raquel; Lippmann, Marie; Narciss, Susanne – Journal of Computer Assisted Learning, 2020
This study examines the effects of timing of corrective formative feedback on processing text information on question-answering. Undergraduate students read an expository text and answered questions in two attempts. Students were randomly assigned to a no feedback, immediate feedback and delayed feedback conditions. Students in the feedback…
Descriptors: Time Factors (Learning), Feedback (Response), Computer Assisted Instruction, Undergraduate Students
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de Smet, Milou J. R.; Brand-Gruwel, Saskia; Kirschner, Paul A. – Journal of Computer Assisted Learning, 2023
Background: Writing is an important and complex skill, which could be enhanced by teaching students effective writing strategies such as outlining. Electronic outlining - integrated feature in Microsoft® Word -- has been shown to enhance students' writing performance. However, little is known about the optimal didactic approach for electronic…
Descriptors: Persuasive Discourse, Writing Skills, Writing Instruction, Computer Uses in Education
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Hwang, Wu-Yuin; Wang, Chin-Yu – Journal of Computer Assisted Learning, 2004
This research makes use of learning time intensity, burst evaluating equations, and state denotation approaches to evaluate the learning time characteristics of students. Through comparing learning time intensity, six burst styles and three diligence styles are categorized. From the statistical results and interaction content analysis, some…
Descriptors: Interaction, Educational Environment, Time Factors (Learning), Comparative Analysis