Article

Equilibriating instructional media for cognitive styles

Authors:

James A. Redmond,

Cathal Walsh,

Adrian ParkinsonAuthors Info & Claims

ITiCSE '03: Proceedings of the 8th annual conference on Innovation and technology in computer science education

Pages 55 - 59

https://doi.org/10.1145/961511.961529

Published: 30 June 2003 Publication History

Get Access

Abstract

Two types of instructional (Text and Web) that had been used in a previous study [1] were adapted to accommodate Cognitive Style preferences for Witkin's Field-dependent [2] and Riding's Imager [3]. Ninety six Information Systems students were randomly allocated to each of these environments and their Cognitive Styles were assessed. The students studied an Introductory Course in Artificial Intelligence one hour per week for six weeks after which they were assessed by a one hour exam. It was found that Field-dependents and Field-independents performed similarly in both environments as indicated by their examination scores demonstrating the success of the adaption of both environments for Field-dependents. The adaptation for Imagers as measured by Riding's CSA [3] was not successful as Verbalisers performed better than Imagers in both Text and Web. This raises questions about the stability of Riding's Verbaliser/Imager dimension. People performed significantly better in the Text environment than in the Web environment.

References

[1]

Tech.Rep: CS-2002--18 Parkinson, A. P., Redmond, J. A "T The Impact of Cognitive Styles and Educational Computer Environments on Learning Performance Computer Sc Dept Trinity College Dublin. Ireland. 2002

Google Scholar

[2]

Witkin, M. A., Oltman, P., Raskin, E., Karp, S. (1971). A Manual for the Embedded Figures Test. Palo Alto, CA: Consulting Psychologists Press.

Google Scholar

[3]

Riding R. J. (1991) Cognitive Styles Analysis, Birmingham. Learning and Training Technology.

Google Scholar

[4]

Osborn, K. (1975). Early Childhood Education in Historical Perspective. Athens, GA:Education Associates.

Google Scholar

[5]

Messick, S. (1976). Individuality in Learning: Implications of Cognitive Styles and Creativity For Human Development. San Francisco, CA: Jossey Bass.

Google Scholar

[6]

Jonassen, D. M. & Grabowski, B. L. (1993) Handbook of individual differences: Learning and Instruction, Hillsdale, N.J. Laurence Erlbaum

Google Scholar

[7]

Allport, G. W. (1937). Personality: A Psychological Interpretation. New York Holt and Co.

Google Scholar

[8]

Witkin, H. A., (1976). Cognitive style in academic performance and teacher-student relations. In Messick (ed), Individuality in Learning. San Francisco:Jossey-Bass

Google Scholar

[9]

Riding, R. J. & Rayner, S. (1998) Cognitive styles and learning Learning Strategies, London. David Futton.

Google Scholar

[10]

Within H, Moore C, Goodenough D Cox, P (1977) Field dependent and field cognitive styles and their educational implications. Review of Educational Research, 47, 1--64.

Crossref

Google Scholar

[11]

Post, Paul E. (1987). The effect of field independence and field dependence on computer assisted instruction achievement. Journal of Industrial Teacher Education V25, n2, p60--67, Fall 1987

Google Scholar

[12]

Wey, P., Waugh, M. L. (1993). The effects of different interface presentation modes and users' individual differences on users' hypertext information access performance. Paper presented at Annual Meeting of American Educational Research Association, Atlanta, Ga.

Google Scholar

[13]

Repman, J. Weller, H. G. & Lan, W. (1993) The impact of social context on learning in hypermedia-based instruction. J. Educ. Multimedia & Hypermedia 2 283--298

Google Scholar

[14]

Weller Herman G., Repman, J., William, L and G. Rooze (1995). Improving the effectiveness of learning through Hypermedia and based instruction. The Importance of Learner Characteristics. Computers in Human Behaviour, Vol 11, No. 3--4, pp 451--465.

Google Scholar

[15]

Wang, S. R. and Jonassen, D. H. (1993). Investigating the effects of individual differences on performance in cognitive flexibility hypertexts. Paper at Annual Meeting American Educational Research Association, Atlanta Ga.

Google Scholar

[16]

Goodenough, D. R. (1976). The role of individual differences in field dependence and memory. Psychological Bulleton, 83, 675--694.

Crossref

Google Scholar

[17]

Satterly, D. J., & Telfer, I. G. (1979). Cognitive style and advance organizers in learning and retention. British Journal of Educational Psychology, 49, 169--178.

Crossref

Google Scholar

[18]

Tannenbaum, R. K. (1982). An investigation of the relationships between selected instructional techniques and identified field dependent and field independent cognitive styles as evidenced among high school students enrolled in studies of nutrition. Disser. Abs. Inter, 43, 68.

Google Scholar

[19]

Thompson, M. E., & Thompson, G. (1987) Field dependece-independence and learning from instructional text. (ERIC Document No. ED258 563)

Google Scholar

[20]

Riding, R. J. & Douglas, G. (1993). The effect of cognitive style and mode of presentation on learning performance. British Jour. of Educ. Psych. 63, 297--307.

Crossref

Google Scholar

[21]

Riding, R. J., Watts, M. (1997). The effect of cognitive style on the preferred format of instructional material. Educational Psychology 17, 179--183

Crossref

Google Scholar

[22]

Riding, R., J., Sadler-Smith, E. (1992) Type of instructional material cognitive style and learning performance, Educational Studies 18, 323--40.

Crossref

Google Scholar

[23]

Riding, R. J. & Grimley, M. (1999). Cognitive style and learning from multimedia materials in 11 year old children. British Journal of Educational Technology 30,

Crossref

Google Scholar

[24]

Cronbach, L. J. & Snow R. (1977). Aptitude and Instructional Methods. New York: Irvington.

Google Scholar

[25]

Sternberg, R J (1997) Thinking Styles Cambridge University Press UK

Google Scholar

[26]

Goldstein, K. M. & Blackman, S. (1978). Cognitive Styles, New York, Wiley

Google Scholar

Cited By

View all

Bourkoukou OBachari EAdnani M(2016)A Personalized E-Learning Based on Recommender SystemInternational Journal of Learning and Teaching10.18178/ijlt.2.2.99-103Online publication date: 2016
https://doi.org/10.18178/ijlt.2.2.99-103
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
https://doi.org/10.1111/j.1540-4609.2008.00221.x
Assiter K(2005)Accessibility of Analysis of AlgorithmsJournal of Computing Sciences in Colleges10.5555/1089053.108907921:2(185-194)Online publication date: 1-Dec-2005
https://dl.acm.org/doi/10.5555/1089053.1089079
Show More Cited By

Index Terms

Equilibriating instructional media for cognitive styles
1. Applied computing
  1. Law, social and behavioral sciences
2. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Equilibriating instructional media for cognitive styles
Proceedings of the 8th annual conference on Innovation and technology in computer science education

Two types of instructional (Text and Web) that had been used in a previous study [1] were adapted to accommodate Cognitive Style preferences for Witkin's Field-dependent [2] and Riding's Imager [3]. Ninety six Information Systems students were randomly ...
Do cognitive styles affect learning performance in different computer media?
ITiCSE '02: Proceedings of the 7th annual conference on Innovation and technology in computer science education

The impact of three treatments Text, CD-ROM, Internet site and student Cognitive Styles on learning performance was investigated. Prior to the commencement of the course the students completed the following psychometric tests: the Group Embedded Figures ...
Do cognitive styles affect learning performance in different computer media?

The impact of three treatments Text, CD-ROM, Internet site and student Cognitive Styles on learning performance was investigated. Prior to the commencement of the course the students completed the following psychometric tests: the Group Embedded Figures ...

Reviews

Reviewer: D.C. Charles Hair

The authors describe studies conducted to explore the effectiveness of structuring and presenting instructional information in ways that will accommodate learners with different cognitive styles. The studies were conducted with a group of third-year information systems students who attended seven hours of a course on artificial intelligence. The students were randomly divided into two groups. One group studied in a text environment, and the other studied in a Web environment. Performance was evaluated through a one-hour exam given at the end of the course. Cognitive styles are constructs used to classify an individual's means of organizing and processing information. The cognitive styles studied in these experiments were field dependence/field independence, verbalizer/imager, and wholist/analytic. Student subjects were administered the Group Embedded Figures Test (GEFT) to classify them as field dependent or independent. They were also administered Riding's Cognitive Style Analysis in order to classify them as verbalizers or imagers, and wholist or analytic. The empirical results of the studies point to the basic conclusion that instructional environments can be designed to accommodate different cognitive styles. Other results indicated that verbalizers outperformed imagers in both text and Web environments, and that subjects with all cognitive styles did better in the text environment than the Web environment. This paper should be of interest to others doing research in the design of instructional media. The writing is clear, and there is a good reference list. Online Computing Reviews Service

Access critical reviews of Computing literature here

Become a reviewer for Computing Reviews.

Comments

Information & Contributors

Information

Published In

ITiCSE '03: Proceedings of the 8th annual conference on Innovation and technology in computer science education

June 2003

291 pages

ISBN:1581136722

DOI:10.1145/961511

Conference Chairs:
Vassilios Dagdilelis
University of Macedonia, Greece
,
Maya Satratzemi
University of Macedonia, Greece
,
Editor:
David Finkel
Worcester Polytechnic Institute
,
Program Chairs:
Roger Boyle
University of Leeds, UK
,
Georgios Evangelidis
University of Macedonia, Greece

ACM SIGCSE Bulletin Volume 35, Issue 3
Proceedings of the 8th annual conference on Innovation and technology in computer science education
September 2003
277 pages
ISSN:0097-8418
DOI:10.1145/961290
Issue’s Table of Contents

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 June 2003

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

ITiCSE03

Sponsor:

SIGCSE

ITiCSE03: 8th Annual Conference on Innovation and Technology in Computer Science Education

June 30 - July 2, 2003

Thessaloniki, Greece

Acceptance Rates

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

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
689
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)1

Reflects downloads up to 06 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Bourkoukou OBachari EAdnani M(2016)A Personalized E-Learning Based on Recommender SystemInternational Journal of Learning and Teaching10.18178/ijlt.2.2.99-103Online publication date: 2016
https://doi.org/10.18178/ijlt.2.2.99-103
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
https://doi.org/10.1111/j.1540-4609.2008.00221.x
Assiter K(2005)Accessibility of Analysis of AlgorithmsJournal of Computing Sciences in Colleges10.5555/1089053.108907921:2(185-194)Online publication date: 1-Dec-2005
https://dl.acm.org/doi/10.5555/1089053.1089079
Mullally AJennings AO’Connor CDolan DParkinson ARedmond J(2006)Use of a Web-based Teaching Collaborative Platform at Third Level: A Qualified Success?Advances in Computer, Information, and Systems Sciences, and Engineering10.1007/1-4020-5261-8_58(373-379)Online publication date: 2006
https://doi.org/10.1007/1-4020-5261-8_58

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations