Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-29T10:17:26.476Z Has data issue: false hasContentIssue false

Distribution of Learning Styles and Preferences for Learning Environment Characteristics Among Emergency Medical Care Assistants (EMCAs) in Ontario, Canada

Published online by Cambridge University Press:  28 June 2012

Anthony G. Campeau*
Affiliation:
Certificate of Advanced Studies in Adult Education, Manager, Education Services Section, Emergency Health Services Branch, Ontario Ministry of Health, Ontario, Canada
*
c/o Ontario Ministry of Health, Emergency Health Services Branch, 5700 Yonge St. 6th floor, North York, Ontario, Canada, M2M 4K5

Abstract

Introduction:

In Ontario, Canada, Emergency Medical Care Assistants (EMCAs) have many opportunities for continuing education. However, little is known about how EMCAs learn.

Objectives:

The intent of this study was to explore the distribution of learning styles, preferences for major learning environment characteristics, and the associations between these two factors among the EMCA population in Ontario, Canada.

Methods:

Following review of the literature, a 32-item survey of learning environment characteristics was constructed to measure the respondents' preferences. Using a random number generator, 386 EMCAs were selected for participation. Each received: a) an explanatory cover letter; b) a copy of the Kolb Learning Style Inventory (LSI) questionnaire; c) a second questionnaire consisting of learning environment characteristics; and d) a stamped, return addressed envelope. Completed surveys were scored to determine the respondent's Learning Style. The LSI and Learning Environment survey results were entered into a data base and subjected to Dual Scaling analysis in order to 1) Identify the distribution of learning styles; and 2) Explore associations between styles and environmental characteristics.

Results:

A total of 75 completed surveys were returned, each of the four styles of learning (Converger; Diverger; Assimilator; and Accommodator) were identified in the sample. Dual Scaling analysis indicated a noteworthy association (R(jt) correlation >0.300) between learning style and 10 of the 32 environmental characteristics. The data describe the usefulness of each of the learning styles.

Accommodators believed courses with a strong emphasis on practical applications and working in groups to be very useful, but were less interested in courses with a strong emphasis on theory. Assimilators felt lectures and courses with a strong emphasis on theory very useful, but were less interested in providing input into course objectives. Divergers found that a lot of verbal explanation is useful, but were less interested in working with teachers who act as coaches. Convergers believed that working with teachers who act as coaches is useful. They also preferred courses with a strong emphasis on practical applications, but were less interested in courses with a strong emphasis on theory.

Conclusion:

The findings in this study, provide some additional insight into the connections between learning style and elements of the learning environment, and their application may contribute to operationalizing learning theory.

Type
Original Research
Copyright
Copyright © World Association for Disaster and Emergency Medicine 1998

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Ontario Ministry of Health: Directory of Ambulance Services. Emergency Health Services Branch, 03 June, 1996.Google Scholar
2. Ambulance Act Revised Statutes of Ontario 1990: Ch. A.19 and Regulation number 19, Ontario Ministry of Health. 1990.Google Scholar
3. Educational Research Information Clearinghouse (ERIC) search of 28 August, 1996.Google Scholar
4. Kolb, DA: Experiential Learning—Experience as the Source of Learning and Development. Prentice Hall Inc: New Jersey USA, 1985.Google Scholar
5. LSI Inventory and Self Scoring Booklet. McBer and Company: Boston, Massachusetts. 1985.Google Scholar
6. Randie, A: A Reliability Study of Kolb's LSI, Masters Thesis, University of Toronto-Ontario Institute for Studies in Education (OISE), 1976.Google Scholar
7. LSI User's Guide. McBer and Company: Boston, Massachusetts, USA, 1986. p81.Google Scholar
8. Geller, L: Reliability of the Learning Style Inventory. Psychological Reports 1979;44:555561.CrossRefGoogle ScholarPubMed
9. West, DC: A construct validity study of Kolb's LSI in medical education. Journal of Medical Education 1982;57:661667.Google Scholar
10. Hoyle, GC: An Examination of the Kolb LSI for Predicting Program Selection and Persistence in a Professional Development Program. Masters thesis, University of Wisconsin-Madison, 1975.Google Scholar
11. Barrie, MC: Variability in Learning Style and Its Relationship to Learning Performance in Introductory Computer Courses for Adult Learners. Doctor of Philosophy Thesis, University of Toronto-Ontario Institute for Studies in Education, 1984.Google Scholar
12. Freedman, R, Stumpf, S: What can one learn from the Learning Style Inventory? Academy of Management Review. 1978;21;3339.Google Scholar
13. Freedman, R, Stumpf, S: Learning style theory: Less than meets the eye. Academy of Management Review 1980;5:445447.CrossRefGoogle Scholar
14. Kolb, DA: Experiential Learning Theory and the Learning Style Inventory: A reply to Freedman and Stumpf. Academy of Management Review 1981;6:289296.CrossRefGoogle Scholar
15. Ingham, J, Dunn, R: The Dunn and Dunn Model of Learning styles: Addressing learner diversity. USA Instrumentation Kit. University Associates: San, California, 1993Google Scholar
16. Wheeler, M, Marchal, J: Trainer Type Inventory (TTI). Instrumentation Kit, University Associates: San Diego, California. 1987.Google Scholar
17. Campeau, A: Learning Environment Characteristics Survey. August 1995.Google Scholar
18. Champion, DJ: Basic Statistics for Social Research. Chandler Publishing Co.: Scranton, Pennsylvania. 1970.Google Scholar
19. Marcellus, WL: Basic Social Statistics. West Publishing Company : New York City, New York 1976.Google Scholar
20. Nishisato, S: Elements of Dual Scaling: An Introduction to Practical Data Analysis. Lawrence Erlbaum Associates: Hillsdale, New Jersey. 1984.Google Scholar
21. Wunderlich, R, Gjerde, C: Another look at the Learning Style Inventory and medical career choice. Journal of Medical Education 1978;53:4554.Google Scholar
22. Plovnick, M: Individual Learning Styles and the Process of Career Choice in Medical Students. Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology, Boston, Massachusetts. 1974.Google Scholar
23. Christensen, M, Lee, C, Bugg, B: Professional development of nurse practitioners as a function of need motivation learning styles and locus of control. Nursing Research 1979;28:5156.Google ScholarPubMed
24. Bennet, N: Learning Styles of Health Professionals Compared to Preference for Continuing Education Program Format. Unpublished PhD Dissertation, University of Illinois College of Medicine, 1978.Google Scholar
25. Plovnick, M: Primary care career choices and medical student learning styles. Journal of Medical Education 1975,1975;50:849855.Google ScholarPubMed
26. Grow, GO: Teaching learners to be self directed. Adult Education Quarterly 1991;41:125149.CrossRefGoogle Scholar
27. Ingham, J, Dunn, R.: The Dunn and Dunn Model of Learning Styles: Addressing Learner Diversity. Pffefier Annual Developing Human Resources Instrumentation Manual, Pffefier: San Diego, California. 1993.Google Scholar