article

Learning styles and personality types of computer science students at a South African university

Authors:

Vashti C. Galpin,

Ian D. Sanders,

Pei-yu ChenAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 39, Issue 3

Pages 201 - 205

https://doi.org/10.1145/1269900.1268844

Published: 25 June 2007 Publication History

Abstract

This research investigates the learning styles and personality types of Computer Science students at the University of the Witwatersrand in Johannesburg, South Africa using the Kolb Learning Style Inventory and the Keirsey Temperament Sorter, respectively. Students were found to be predominantly abstract intheir learning, and they did not show strong preferences on the reflective/active dimension hence they had either a Converger or Assimilator learning style which is consistent with prior research. Across the three years of undergraduate study, learning styles became more balanced in terms of the reflective/activedimension. Students were predominantly ISTJ, ISFJ, ESTJ or ESFJ in their personality types showing a strong presence of the SJ temperament which is associated with organisation, planning and decision-making. This result is less consistent with prior research. There were no significant differences over the three years in personality type.

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Cited By

Sanusi IDeriba F(2024)What do we know about Computing Education in Africa? A Systematic Review of Computing Education Research LiteratureSSRN Electronic Journal10.2139/ssrn.4826205Online publication date: 2024
https://doi.org/10.2139/ssrn.4826205
Liebenberg J(2024)Unraveling Challenges in Software Development EducationMachine Learning Methods in Systems10.1007/978-3-031-70595-3_39(383-390)Online publication date: 24-Oct-2024
https://doi.org/10.1007/978-3-031-70595-3_39
Pieterse VLeeu Mvan Eekelen M(2018)How personality diversity influences team performance in student software engineering teams2018 Conference on Information Communications Technology and Society (ICTAS)10.1109/ICTAS.2018.8368749(1-6)Online publication date: Mar-2018
https://doi.org/10.1109/ICTAS.2018.8368749
Show More Cited By

Index Terms

Learning styles and personality types of computer science students at a South African university
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
    2. Computing profession
      1. Computing occupations

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Published In

cover image ACM SIGCSE Bulletin

ACM SIGCSE Bulletin Volume 39, Issue 3

Proceedings of the 12th annual SIGCSE conference on Innovation and technology in computer science education (ITiCSE'07)

September 2007

366 pages

ISSN:0097-8418

DOI:10.1145/1269900

Issue’s Table of Contents

ITiCSE '07: Proceedings of the 12th annual SIGCSE conference on Innovation and technology in computer science education
June 2007
386 pages
ISBN:9781595936103
DOI:10.1145/1268784
General Chair:
Janet Hughes
University of Dundee, UK
,
Program Chairs:
Ramanee Peiris
University of Dundee, UK
,
Paul Tymann
Rochester Institute of Technology

Copyright © 2007 ACM.

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: 25 June 2007

Published in SIGCSE Volume 39, Issue 3

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Cited By

Sanusi IDeriba F(2024)What do we know about Computing Education in Africa? A Systematic Review of Computing Education Research LiteratureSSRN Electronic Journal10.2139/ssrn.4826205Online publication date: 2024
https://doi.org/10.2139/ssrn.4826205
Liebenberg J(2024)Unraveling Challenges in Software Development EducationMachine Learning Methods in Systems10.1007/978-3-031-70595-3_39(383-390)Online publication date: 24-Oct-2024
https://doi.org/10.1007/978-3-031-70595-3_39
Pieterse VLeeu Mvan Eekelen M(2018)How personality diversity influences team performance in student software engineering teams2018 Conference on Information Communications Technology and Society (ICTAS)10.1109/ICTAS.2018.8368749(1-6)Online publication date: Mar-2018
https://doi.org/10.1109/ICTAS.2018.8368749
Gulati JBhardwaj PSuri BMitra STrajković LBedi PMcIntosh SRajasree M(2015)Comparative Study of Personality Models in Software EngineeringProceedings of the Third International Symposium on Women in Computing and Informatics10.1145/2791405.2791445(209-216)Online publication date: 10-Aug-2015
https://dl.acm.org/doi/10.1145/2791405.2791445
Lai HLee CChiu ALee S(2014)The Preferred Learning Styles of Neurosurgeons, Neurosurgery Residents, and Neurology Residents: Implications in the Neurosurgical FieldWorld Neurosurgery10.1016/j.wneu.2014.04.06782:3-4(298-303)Online publication date: Sep-2014
https://doi.org/10.1016/j.wneu.2014.04.067
Bednarik RHerout ALaakso MMcCartney R(2012)What students wantProceedings of the 12th Koli Calling International Conference on Computing Education Research10.1145/2401796.2401811(118-125)Online publication date: 15-Nov-2012
https://dl.acm.org/doi/10.1145/2401796.2401811
Sandman T(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
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Zhao LDong YLi ZLin NLi J(2018)How We Face Globalization of Chinese Education2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)10.1109/TALE.2018.8615155(635-640)Online publication date: Dec-2018
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Cecil DGantz DBaker KGarrison D(2009)Personality types of IT professorsProceedings of the 10th ACM conference on SIG-information technology education10.1145/1631728.1631735(13-23)Online publication date: 22-Oct-2009
https://dl.acm.org/doi/10.1145/1631728.1631735

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