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Wakelam, Edward; Jefferies, Amanda; Davey, Neil; Sun, Yi – British Journal of Educational Technology, 2020
The measurement of student performance during their progress through university study provides academic leadership with critical information on each student's likelihood of success. Academics have traditionally used their interactions with individual students through class activities and interim assessments to identify those "at risk" of…
Descriptors: Academic Achievement, At Risk Students, Data Analysis, Identification
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