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Learning styles across the curriculum

Published: 27 June 2005 Publication History

Abstract

Recent research has shown that a student's learning style - essentially, the way a student approaches and masters new material - can affect student performance in introductory computer science courses. We show here that a student's learning style can also affect student performance across the courses in the computer science curriculum.This paper presents the results of a case study in which we collected learning style data for students completing the required courses in a typical computer science curriculum. We then used a wide range of statistical analyses to check for bias in the dataset and to examine the relationships between student learning style and student performance in those courses.Our analysis identified a number of statistically significant relationships between student learning style and performance. We examine potential explanations for those relationships and discuss ways in which the results can be used to enhance student learning.

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Cited By

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  • (2014)A Preliminary Investigation into the Adaptive Learning Styles of Business StudentsDecision Sciences Journal of Innovative Education10.1111/dsji.1202012:1(33-54)Online publication date: 8-Jan-2014
  • (2009)Gaining Insight into Business Telecommunications Students Through the Assessment of Learning StylesDecision Sciences Journal of Innovative Education10.1111/j.1540-4609.2008.00221.x7:1(295-320)Online publication date: 16-Jan-2009
  • (2006)RoboCode & problem-based learningProceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education10.1145/1140124.1140182(217-221)Online publication date: 26-Jun-2006
  • Show More Cited By

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cover image ACM Conferences
ITiCSE '05: Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education
June 2005
440 pages
ISBN:1595930248
DOI:10.1145/1067445
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2005

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  1. learning styles
  2. student performance

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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Cited By

View all
  • (2014)A Preliminary Investigation into the Adaptive Learning Styles of Business StudentsDecision Sciences Journal of Innovative Education10.1111/dsji.1202012:1(33-54)Online publication date: 8-Jan-2014
  • (2009)Gaining Insight into Business Telecommunications Students Through the Assessment of Learning StylesDecision Sciences Journal of Innovative Education10.1111/j.1540-4609.2008.00221.x7:1(295-320)Online publication date: 16-Jan-2009
  • (2006)RoboCode & problem-based learningProceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education10.1145/1140124.1140182(217-221)Online publication date: 26-Jun-2006
  • (2006)RoboCode & problem-based learningACM SIGCSE Bulletin10.1145/1140123.114018238:3(217-221)Online publication date: 26-Jun-2006
  • (2024)ChatGPT in the Classroom: Experimentation in a Python Class for Non-Computing Majors2024 IEEE Integrated STEM Education Conference (ISEC)10.1109/ISEC61299.2024.10665172(1-7)Online publication date: 9-Mar-2024
  • (2021)Study Behavior in Computing Education—A Systematic Literature ReviewACM Transactions on Computing Education10.1145/346912922:1(1-40)Online publication date: 18-Oct-2021
  • (2014)The impacts of learning styles, learning patterns and demographic factors on learners' performance in a blended learning environmentInternational Conference on Information Society (i-Society 2014)10.1109/i-Society.2014.7009021(105-111)Online publication date: Nov-2014
  • (2006)ASSISTing CS1 students to learnProceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education10.1145/1140124.1140197(275-279)Online publication date: 26-Jun-2006
  • (2006)ASSISTing CS1 students to learnACM SIGCSE Bulletin10.1145/1140123.114019738:3(275-279)Online publication date: 26-Jun-2006

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