Using learning style data in an introductory computer science course

Authors:
A. T. Chamillard;Dolores Karolick
Affiliations:
Department of Computer Science, U.S. Air Force Academy, CO;34t Education Group, U.S. Air Force Academy, CO
Venue:
SIGCSE '99 The proceedings of the thirtieth SIGCSE technical symposium on Computer science education
Year:
1999

Citing 0
Cited 7

Evaluating programming ability in an introductory computer science course

Proceedings of the thirty-first SIGCSE technical symposium on Computer science education
Learning styles across the curriculum

ITiCSE '05 Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education
Using Soloman-Felder Learning Style Index to Evaluate Pedagogical Resources for Introductory Programming Classes

ICSE '07 Proceedings of the 29th international conference on Software Engineering
Methodology and system design for implementing context-adaptive service-oriented web-based learning

International Journal of Mobile Learning and Organisation
Using a groupware system in CS1 to engage introverted students

ITiCSE '09 Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
Computer science illustrated: engaging visual aids for computer science education

Proceedings of the 41st ACM technical symposium on Computer science education
No tests required: comparing traditional and dynamic predictors of programming success

Proceedings of the 45th ACM technical symposium on Computer science education

Quantified Score

Hi-index	0.00

Visualization

Abstract

Because learning styles affect how students approach new material, a deeper comprehension of these styles can help professors enhance student learning experiences. In this paper we discuss how learning style data can be used to help guide student study habits and instructional strategies. Additionally, we examine whether or not there is a correlation between learning style and academic performance in an introductory computer science course.