Cognitive style, personality type, and learning ability as factors in predicting the success of the beginning programming student

Author:

Corman Larry S

Abstract

The Myers-Briggs Type Indicator, Group Embedded Figures Test, the Learning Style Inventory, and a Type A-B Questionnaire were administered to introductory COBOL students along with marketing students to determine if results from these instruments would improve the predictability of student success in computer science. Demographic data was also gathered on the 83 subjects similarly to prior studies. No significant new findings were found in this study; the strongest variable was a student's major grade point average.

Publisher

Association for Computing Machinery (ACM)

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Psychological Models and Instruments Employed to Identify Personality Traits of Software Developers: A Systematic Mapping Study;Communications in Computer and Information Science;2022

2. On Preferences of Novice Software Engineering Students: Temperament Style and Attitudes Towards Programming Activities;Lecture Notes in Computer Science;2018

3. No tests required;Proceedings of the 45th ACM technical symposium on Computer science education;2014-03-05

4. Cognitive style, personality, and computer programming;Computers in Human Behavior;1995

5. The Myers-Briggs Personality Type and Its Relationship to Computer Programming;Journal of Research on Computing in Education;1994-03

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