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Early identification of students at risk of failing
PROCEEDINGS

, , , Massey University, New Zealand ; , Andrew Higgins Ltd, New Zealand

ASCILITE - Australian Society for Computers in Learning in Tertiary Education Annual Conference, ISBN 978-0-473-22989-4 Publisher: Australasian Society for Computers in Learning in Tertiary Education

Abstract

This paper outlines how teachers can use the learning management system (LMS) to identify at risk students in the first week of a course. Data is from nine second year campus based business courses that use a blend of face-to-face and online learning strategies. Students that used the LMS in the first week of the course were more likely to pass. For the rest of the course the pattern of usage is then largely similar for students who pass and those that do not pass. This paper identifies how a LMS can identify at risk students in the first week of the course and provides some strategies to motivate these students.

Citation

Milne, J., Jeffrey, L.M., Suddaby, G. & Higgins, A. (2012). Early identification of students at risk of failing. In M. Brown, M. Hartnett & T. Stewart (Eds.), Proceedings of ASCILITE - Australian Society for Computers in Learning in Tertiary Education Annual Conference 2012. Australasian Society for Computers in Learning in Tertiary Education. Retrieved October 20, 2020 from .

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