Journals / Turkish Online Journal of Distance Education / 2008 / Cilt: 9 - Sayı: 1

The Relationship Between Student Characteristics, Including Learning Styles and Their Perceptions and Satisfaction in Web-Based Courses in Higher Education

Pages
123–138
Publication Date
2008-03-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

For example, introductory biology courses with high structure are perceived as more satisfactory by students who prefer a more “abstract conceptual” learning style for “knowledge grasping.” The author recommends that courses are designed to accommodate multiple learning styles with variety on all dimensions of transactional distance.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Distance education and web-based courses are mainstream in the United States higher education and growing (NCES, 2003) involving over 80% of four year public universities in 2002.
📊
Key Findings & Data:This investigation of the relationships between learners’ characteristics and their perception of web-based learning and satisfaction with their course used Kolb’s (1984) Learning Styles Inventory and Walker’s (2003) distance education learning environment instrument plus demographic questions to survey 279 students in five web-based undergraduate courses in a Midwestern university.
💡
Conclusion & Impact:For example, introductory biology courses with high structure are perceived as more satisfactory by students who prefer a more “abstract conceptual” learning style for “knowledge grasping.” The author recommends that courses are designed to accommodate multiple learning styles with variety on all dimensions of transactional distance.
🔬Design:Survey & Empirical Study
📍Scope:2003 Verileri
⚙️Variables:Distance Learning · Learning Styles · Transactional Distance.

Abstract

Distance education and web-based courses are mainstream in the United States higher education and growing (NCES, 2003) involving over 80% of four year public universities in 2002. The National Academy of Science review of “how people learn” suggests that technology-mediated learning can be used to respond to students’ preferences and related characteristics. This investigation of the relationships between learners’ characteristics and their perception of web-based learning and satisfaction with their course used Kolb’s (1984) Learning Styles Inventory and Walker’s (2003) distance education learning environment instrument plus demographic questions to survey 279 students in five web-based undergraduate courses in a Midwestern university. The study founds that the three dimensions of Moore’s Transactional Distance Theory may be linked with Kolb’s two dimensional views of individual learning styles. For example, introductory biology courses with high structure are perceived as more satisfactory by students who prefer a more “abstract conceptual” learning style for “knowledge grasping.” The author recommends that courses are designed to accommodate multiple learning styles with variety on all dimensions of transactional distance.

🔖

Cite This Article

SAHIN, S. (2008). The Relationship Between Student Characteristics, Including Learning Styles and Their Perceptions and Satisfaction in Web-Based Courses in Higher Education. Turkish Online Journal of Distance Education, Cilt: 9 - Sayı: 1, 123–138. https://ajindex.com/articles/140701

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (9)

  1. Alomyan, H., & Au, W. (2004). Exploration of instructional strategies and individual difference within the context of Web-based learning. International Education Journal, (4), 86-91.
  2. Anderson, T. (1997). Integrating lectures and electronic course materials. Innovations in Education and Training International, 34(1), 24 - 31. Ary, D., Jacobs, L. C., & Razavieh, A. (2002). Introduction to research in education (6th ed.). Forth Worth: Harcourt Brace. Carnevale, D. (2000). ―Accrediting bodies consider new standards‖. Education at a Distance, 14(8), Retrieved January 12, 2005 from http://www.usdla.org/html/journal/AUG00_Issue/PDF/accrediting.pdf
  3. Chute, A. G., Thompson, M. M., & Hancock, B. W. (1999). The McGraw-Hill handbook of distance learning. New York: McGraw-Hill. Dick, W. & Cary, L. (1990).The systematic design of instruction, (3rd Ed.). New York: Harper Collins. Federico, P. (2000). Learning styles and student attitudes toward various aspects of network-based instruction. Computers in Human Behavior, 16, 359–379.
  4. Freeth, B. (2004). Tool for evaluation of Web-based instruction. Retrieved March 3, from http://home.earthlink.net/~bfree8725/webevaltool.pdf
  5. Garrison, D. R. (2000). ―Theoretical challenges for distance education in the 21st century: a shift from structural to transactional issues‖. International Review of Research in Open and Distance Learning,1(1). Retrieved March 3, 2005 from http://www.irrodl.org/content/v1.1/randy.pdf
  6. Hart, G. (1995). Learning styles and hypertext: exploring user attitudes. Retrieved February 10, 2005 from http://www.ascilite.org.au/conferences/melbourne95/smtu/papers/hart.pdf
  7. Henke, H. (1997). Evaluating Web-based instruction design. Retrieved 9 January, 2005 from http://www.scis.nova.edu/~henkeh/story1.htm
  8. Hills, H. (2003). Individual preferences in e-learning. Burlington, VT: Gower. Khan, B. H. (2005). Managing e-learning: design, delivery, implementation and evaluation. Hershey: Information Science. Kolb, D. A., (1976). Learning style inventory. Boston: McBer and Company. Kolb, D. A., (1984). Experiential learning. New Jersey: Prentice Hall, Inc. Kolb, D. A., Boyatzis, R. E., & Mainemelis, C., (2001). Experiential learning theory: Previous research and new directions. In R. Sternberg, & L. Zhang (Eds.), Perspectives on thinking, learning, and cognitive styles, p. 227-247.
  9. Mahwah, NJ: Lawrence Erlbaum Association. Kolb, D. A. (1999). The Kolb learning style inventory, version 3. Boston: Hay Group. Kolb, A. Y. and D.A. K