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Dennis A. Rivera; Mariane Frenay; Magali Paquot – Journal of Computer Assisted Learning, 2024
Background: Forums in massive open online courses (MOOCs) enable written exchanges on course content; hence, they can potentially facilitate learners' cognitive engagement. Given the myriad of MOOC forum messages, this engagement is commonly analysed automatically through the linguistic features of the messages. Assessing linguistic features of…
Descriptors: MOOCs, Learner Engagement, Group Discussion, Language Usage
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Shan Tang; Chi-Un Lei; Hong Qiang Wei – Journal of Computer Assisted Learning, 2024
Background: Given students' lack of self-directed learning skills and the growing concern about implementing massive online open courses (MOOCs) in K12 education, learning strategies are needed to facilitate MOOC learning. Many studies have provided different strategies for effective learning in MOOCs. However, there is still limited research to…
Descriptors: MOOCs, Elementary Secondary Education, Learning Strategies, Academic Achievement
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Paraskevi Topali; Ruth Cobos; Unai Agirre-Uribarren; Alejandra Martínez-Monés; Sara Villagrá-Sobrino – Journal of Computer Assisted Learning, 2024
Background: Personalised and timely feedback in massive open online courses (MOOCs) is hindered due to the large scale and diverse needs of learners. Learning analytics (LA) can support scalable interventions, however they often lack pedagogical and contextual grounding. Previous research claimed that a human-centred approach in the design of LA…
Descriptors: Learning Analytics, MOOCs, Feedback (Response), Intervention
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Changqin Huang; Jianhui Yu; Fei Wu; Yi Wang; Nian-Shing Chen – Journal of Computer Assisted Learning, 2024
Background: Investigating emotion sequence patterns in the posts of discussion forums in massive open online courses (MOOCs) holds a vital role in shaping online interactions and impacting learning achievement. While the majority of research focuses on the relationship between emotions and interactions in MOOC forum discussions, research on…
Descriptors: MOOCs, Discussion Groups, Computer Mediated Communication, Learning Processes
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Jelena Jovanovic; Dragan Gaševic; Lixiang Yan; Graham Baker; Andrew Murray; Danijela Gasevic – Journal of Computer Assisted Learning, 2024
Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…
Descriptors: Psychological Patterns, Networks, Profiles, Learning Processes
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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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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