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A Learning Analytics-informed Activity to Improve Student Performance in a First Year Physiology Course
International journal of innovation in science and mathematics education (IJISME)
Learning Analytics (LA) can be employed to identify course-specific factors that hinder student course (outcome) performance, which can be subsequently rectified using targeted interventions. Supplementing interventions with predictive modelling also permits the identification of students who are at-risk of failing the course and encourages their participation. LA findings suggested that a targeted intervention for our course should focus on improving student short answer question (SAQ)doi:10.30722/ijisme.29.02.001 fatcat:iimvrziumrftxjs6gkwyavokcy