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Direct linkLarrabee Sønderlund, Anders; Hughes, Emily; Smith, Joanne – British Journal of Educational Technology, 2019
Educational institutions are increasingly turning to learning analytics to identify and intervene with students at risk of underperformance or discontinuation. However, the extent to which the current evidence base supports this investment is currently unclear, and particularly so in relation to the effectiveness of interventions based on…
Descriptors: Learning Activities, College Students, At Risk Students, Intervention
Cohen, Anat; Shimony, Udi; Nachmias, Rafi; Soffer, Tal – British Journal of Educational Technology, 2019
This study explores and characterizes learners' participation patterns in MOOC forums, as well as the factors that correlate with learners' participation. Educational data mining and learning analytics methods were used to retrieve and analyze the learners' interpersonal interaction data, which had accumulated in the Coursera log files. The…
Descriptors: Online Courses, Student Participation, Correlation, Mass Instruction
