Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/1562877.1562948acmconferencesArticle/Chapter ViewAbstractPublication PagesiticseConference Proceedingsconference-collections
research-article

Learning styles: novices decide

Published: 06 July 2009 Publication History

Abstract

We present what students say about their preferred learning style to succeed in introductory programming. Using the Felder-Silverman learning styles, students contrasted the 'best' learning style for programming with the 'best' for learning mathematics. Overall students believe that while they learn mathematics using a reflective style, learning to program is significantly more active. They also believe learning mathematics has a strong verbal component, whereas learning programming is primarily visual.

References

[1]
Allert, J. 2004. Learning style and factors contributing to success in an introductory computer science course. In Proceedings of the IEEE International Conference on Advanced Learning Technologies (August, 2004). ICALT'04. IEEE, 385--389.
[2]
Eckerdal, A., Thuné, M., and Berglund, A. 2005. What does it take to learn 'programming thinking'?. In Proceedings, ICER '05 (Seattle, WA, USA, October, 2005). ACM, New York, NY, 135--142.
[3]
Felder, R.M. and Silverman, L.K. 1988. Learning and Teaching Styles in Engineering Education. Engineering Education. 78, 7 (1988), 674--681.
[4]
Felder, R.M. and Spurlin, J. 2005. Applications, Reliability and Validity of the Index of Learning Styles. Int Journal of Engineering Education. 21, 1 (2005), 103--112.
[5]
Garvin--Doxas, K. and Barker, L. J. 2004. Communication in computer science classrooms: understanding defensive climates as a means of creating supportive behaviors. J. Educ. Resour. Comput. 4, 1 (Mar. 2004), 2.
[6]
Layman, L., Cornwell, T., and Williams, L. 2006. Personality types, learning styles, and an agile approach to software engineering education. SIGCSE Bull. 38, 1 (March 2006), 428--432.
[7]
Lister, R., Berglund, A., Clear, T., Bergin, J., Garvin-Doxas, K., Hanks, B., Hitchner, L., Luxton-Reilly, A., Sanders, K., Schulte, C., and Whalley, J. L. 2006. Research perspectives on the objects-early debate. In Working Group Reports on ITiCSE (Bologna, Italy, June, 2006). ACM, New York, NY, 146--165.
[8]
Lopes, W.M.G. 2002. ILS-Inventário de Estilos de Aprendizagem de Felder-Soloman: Investigação de sua Validade em Estudantes Universitários de Belo Horizonte, Masters Thesis, Universidade Federal de Santa Caterina, Brazil, 2002. Quoted in {4}.
[9]
Mead, J., Gray, S., Hamer, J., James, R., Sorva, J., Clair, C. S., and Thomas, L. 2006. A cognitive approach to identifying measurable milestones for programming skill acquisition. In Working Group Reports on ITiCSE (Bologna, Italy, June, 2006). ACM, New York, NY, 182--194.
[10]
Muller, O. 2005. Pattern oriented instruction and the enhancement of analogical reasoning. In Proceedings, ICER'05 (Seattle, WA, USA, 2005). ACM, New York, NY, 57--67.
[11]
Murphy, L. and Thomas, L. 2008. Dangers of a fixed mindset: implications of self-theories research for computer science education. In Proceedings of the 13th Annual Conference on ITiCSE (Madrid, Spain, June, 2008). ACM, New York, NY, 271--275.
[12]
Thomas, L., Ratcliffe, M., Woodbury, J., and Jarman, E. 2002. Learning styles and performance in the introductory programming sequence. In Proceedings of the 33rd SIGCSE Technical Symposium (Cincinnati, Kentucky, February, 2002). ACM, New York, NY, 33--37.
[13]
Tobias, S. 1990. They're Not Dumb, They're Different: Stalking the Second Tier. Research Corporation, Tucson.
[14]
Turner, E. H., Albert, E., Turner, R. M., and Latour, L. 2007. Retaining majors through the introductory sequence. In Proceedings of the 38th SIGCSE Technical Symposium (Covington, Kentucky, USA, March, 2007). ACM, New York, NY, 24--28.
[15]
Wu, C., Dale, N. B., and Bethel, L. J. 1998. Conceptual models and cognitive learning styles in teaching recursion. In Proceedings of the Twenty-Ninth SIGCSE Technical Symposium (Atlanta, Georgia, United States, February, 1998). ACM, New York, NY, 292--296.

Cited By

View all
  • (2018)Introductory programming: a systematic literature reviewProceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3293881.3295779(55-106)Online publication date: 2-Jul-2018
  • (2014)Computing in the artsProceedings of the 45th ACM technical symposium on Computer science education10.1145/2538862.2538942(451-456)Online publication date: 5-Mar-2014
  • (2017)Evaluation of PILeT: Design guidelines, usability and learning outcomes results2017 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON.2017.7943059(1580-1584)Online publication date: Apr-2017
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
ITiCSE '09: Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
July 2009
428 pages
ISBN:9781605583815
DOI:10.1145/1562877
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 July 2009

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. CS1
  2. attitudinal
  3. diagnostic testing
  4. learning styles
  5. mathematics education
  6. programming
  7. student profiling

Qualifiers

  • Research-article

Conference

ITiCSE '09
Sponsor:

Acceptance Rates

ITiCSE '09 Paper Acceptance Rate 66 of 205 submissions, 32%;
Overall Acceptance Rate 552 of 1,613 submissions, 34%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)6
  • Downloads (Last 6 weeks)0
Reflects downloads up to 23 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2018)Introductory programming: a systematic literature reviewProceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3293881.3295779(55-106)Online publication date: 2-Jul-2018
  • (2014)Computing in the artsProceedings of the 45th ACM technical symposium on Computer science education10.1145/2538862.2538942(451-456)Online publication date: 5-Mar-2014
  • (2017)Evaluation of PILeT: Design guidelines, usability and learning outcomes results2017 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON.2017.7943059(1580-1584)Online publication date: Apr-2017
  • (2012)Student-Centered Learning Objects to Support the Self-Regulated Learning of Computer ScienceCreative Education10.4236/ce.2012.32611603:06(773-783)Online publication date: 2012

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media