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Sat, Oct 8, 3:30 - 3:55, Governors E Paper (refereed)

Recommended Citation: Rahinel, R, N O’Reilly, W Cukier, and S Cody. Mathematics as a Performance Predictor in Information Technology Management. In The Proceedings of the Information Systems Education Conference 2005, v 22 (Columbus OH): §3534. ISSN: 1542-7382.

Mathematics as a Performance Predictor in Information Technology Management

Refereed

11 pages

Ryan Rahinel    [a1] [a2]
Faculty of Business
Ryerson University    [u1] [u2]
Toronto, Ontario, Canada    [c1] [c2]

Norman O’Reilly    [a1] [a2]
Faculty of Business
Ryerson University    [u1] [u2]
Toronto, Ontario, Canada    [c1] [c2]

Wendy Cukier    [a1] [a2]
Faculty of Business
Ryerson University    [u1] [u2]
Toronto, Ontario, Canada    [c1] [c2]

Susan Cody    [a1] [a2]
Faculty of Business
Ryerson University    [u1] [u2]
Toronto, Ontario, Canada    [c1] [c2]

This paper considers admission requirements and their relationship to performance in a university level Bachelor of Commerce program in Information Technology Management (ITM). It examines assumptions underpinning admission requirements - in particular, the emphasis on mathematics as a predictor of performance. Subject to the limitations of our sample, results reveal that the average grade in their Best 6 Grade 12 courses is the best predictor of final University cumulative grade point average. Despite the emphasis placed on mathematics by Universities and information technology scholars, final cumulative grade point average showed no significant correlation with calculus, algebra and finite mathematics. Separate multiple regression analyses revealed that (i) calculus and English were weak predictors of overall cumulative grade point average and calculus was only marginally more important than English; and (ii) neither calculus nor finite credits (grade over 60) predicted University graduation success although algebra was shown to have some impact in this regard.

Keywords: mathematics, management education, English, information technology

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