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Direct linkBarramuño, Mauricio; Meza-Narváez, Claudia; Gálvez-García, Germán – Journal of Applied Research in Higher Education, 2022
Purpose: The prediction of student attrition is critical to facilitate retention mechanisms. This study aims to focus on implementing a method to predict student attrition in the upper years of a physiotherapy program. Design/methodology/approach: Machine learning is a computer tool that can recognize patterns and generate predictive models. Using…
Descriptors: Student Attrition, School Holding Power, Foreign Countries, Physical Therapy
