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Dai, Hai Min; Teo, Timothy; Rappa, Natasha Anne – Journal of Computer Assisted Learning, 2022
Background: Learners in a given massive open online course (MOOC) are usually provided with the same learning materials, guided by the same syllabus, and assessed in the same format. This "one-size-fits-all" approach constrains learners' ability to reap the optimal benefits from online learning. Objectives: This study aims to…
Descriptors: MOOCs, Student Characteristics, Gender Differences, Employment Level
Explaining Trace-Based Learner Profiles with Self-Reports: The Added Value of Psychological Networks
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