Different Disciplines Require Different Motivations for Student Success

This article reports an investigation of undergraduate motivation to learn. A Likert-type rating scale measure of motivation incorporated the general motivational dimensions identified by previous investigators, as well as a systematic theoretical framework that is more novel, and attempts to acknowledge the role of discipline-specific factors in motivation to learn. The motivation questionnaire was evaluated by measuring its success in explaining the academic achievement of biology, history, computing, planning, anthropology, geology, food science and nutrition, and education students (n = 380) in standard university assessments. The findings reveal that student performance is better explained by within- than across-discipline indexes of motivation, probably because some types of motivation lead to success in some disciplines but failure in others. Furthermore, items based on the theoretical framework developed to underpin the questionnaire (which distinguishes outcome from process incentives) were also found to explain more variation in student performance than general motivation items. Some practical implications of the findings are considered.