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Measures of student success: can we predict module completion rates?

By Jeanette Learned

There are many factors which might cause a student to drop out of a course of study; some of these are preventable. This paper describes the piloting of a survey tool designed to identify students at risk of not completing. Attendance was found to be the strongest predictor of module completion; low or declining scores on the survey were also predictive of students dropping out. The research for this paper was undertaken by a novice researcher in the Community of Practice Scholarship Program, which is funded through NCVER's Building Researcher Capacity initiative.