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An Investigation into the Learning Styles and Self-Regulated Learning Strategies for Computer Science Students

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Alharbi, A., Paul, D., Henskens, F. A. and Hannaford, M. R. “An Investigation into the Learning Styles and Self-Regulated Learning Strategies for Computer Science Students”, Changing Demands, Changing Directions. ascilite, pp. 36-46, 2011.

Abstract

This paper examines the different learning styles and self-regulated learning strategies used by students in a core computer science course. An Index of Learning Styles and a Self-Regulated Learning Strategies Questionnaire were administered to second year students studying programming languages concepts and paradigms. Results show that aspects of students’ preferred learning styles had a significant impact on academic performance in the midterm examination. Further, consideration of the self-regulated learning strategies used by students provides evidence that some strategies are of greater benefit than others. These results have implications for future teaching of the course, and are being used to guide the development of an online collaborative learning objects repository that aims to improve self-directed student learning.

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Changing Demands, Changing Directions. ascilite