Skip to main content
SpringerLink
Log in

Model of Teachers’ Personalized Decision Making on Activities and Resources in Web-Based Training

  • Conference paper
  • First Online:
Advances in Web-Based Learning – ICWL 2013 Workshops (ICWL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8390))

Included in the following conference series:

  • 1071 Accesses

Abstract

Teachers’ educational technology competence training takes plural forms, one of which is web-based training. However, for many educational institutions in mainland of China, the online training effect is not satisfied for providing teachers with uniform resources and activities without considering the personal factors when the role of a teacher has changed into an adult learner. In this paper, a preliminary survey is used to figure out the influential factors of training effect, and a decision making model is proposed by KAFR tool, which is developed for observing both the relation between learning styles and learning activities, as well as the relation between learning styles and learning resources. The model could be used in the generation of user model by describing teacher’s profile in any adaptive educational system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Jun, H., Zhuzhu, W.: Capability building in educational technology for teachers in China. Br. J. Educ. Technol. 41(4), 607–611 (2010)

    Article  Google Scholar 

  2. Brown, S.: Cognitive preferences in science: their nature and analysis. Stud. Sci. Educ. 1975(2), 43–65 (1975)

    Article  Google Scholar 

  3. Entwistle, N.J., Hauley, M.: Personality, cognitive style and students’ learning strategies. Higher Educ. Bull. 6(1), 23–43 (1979)

    Google Scholar 

  4. Dunn, R.S., Dunn, K.J.: Learning styles/teaching styles: Should they…can they… be matched? Educ. Leadersh. 36, 238–244 (1979)

    Google Scholar 

  5. Felder, R.M., Spurlin, J.: Applications, reliability and validity of the Index of Learning Styles. Int. J. Eng. Educ. 21(1), 103–112 (2005)

    Google Scholar 

  6. Keefe, J.W.: Learning style: an overview. In: Keefe, J.W. (ed.) Student Learning Styles: Diagnosing and Prescribing Programs, pp. 1–17. National Association of Secondary School Principals, Reston (1979)

    Google Scholar 

  7. Kolb, D.A.: Learning styles and disciplinary differences. In: Chickering, A.W. (ed.) The Modern American College: Responding to the New Realties of Diverse Students and a Changing Society, pp. 232–255. Jossey-Bass, San Francisco (1981)

    Google Scholar 

  8. Reigeluth, C.M., Stein, F.S.: The elaboration theory of instruction. In: Reigeluth, C.M. (ed.) Instructional Design Theories and Models: An Overview of Their Current Status. Prentice-Hall, Hillsdale (1983)

    Google Scholar 

  9. Merrill, M.D.: Component display theory. In: Reigeluth, C.M. (ed.) Instructional Design Theories and Models: An Overview of Their Current Status. Prentice-Hall, Hillsdale (1983)

    Google Scholar 

  10. Jonassen, D.H.: Designing constructivist learning environments. In: Reigeluth, C.M. (ed.) Instructional Theories and Models, 2nd edn, pp. 215–239. Lawrence Erlbaum Associates, Mahwah (1999)

    Google Scholar 

  11. Skinner, B.F.: The Behavior of Organisms: An Experimental Analysis. Appleton-Century, New York (1938)

    Google Scholar 

  12. Zhang, S., He, K., et al.: Research on web-based formative evaluation of learning activities—based on the experience of the K-12 teachers’ ET ability training. Modern Educ. Technol. 17(10), 82–87+90 (2007)

    Google Scholar 

  13. CELTSC (2013). http://www.celtsc.edu.cn/qhcms/index.html

  14. Kolb, D.A.: Experiential learning: Experience as the source of learning and development. Prentice-Hall, Englewood Cliffs (1984)

    Google Scholar 

  15. Leite, W.L., Svinicki, M., Shi, Y.: Attempted Validation of the Scores of the VARK: Learning Styles Inventory With Multitrait-Multimethod Confirmatory Factor Analysis Models. Educ. Psychol. Measur. 70, 323–339 (2010)

    Article  Google Scholar 

  16. Wenya, L., Zhaojun, L., Kaili, W.: The tool design of KAFR model of network teacher training. China Educ. Technol. 314(3), 74–79 (2013)

    Google Scholar 

Download references

Acknowledgment

This paper is one of the achievements of research program “Design of Personalized Model for Online Teachers’ Teaching and Learning” (No. W2012127) supported by the Project of Humanities and Social Sciences of Education Department of Liaoning Province.

Author information

Authors and Affiliations

  1. School of Educational Technology, Shenyang Normal University, Shenyang, 110034, Liaoning, China

    Kai-li Wang & Wen-ya Liu

Authors
  1. Kai-li Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wen-ya Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Kai-li Wang or Wen-ya Liu .

Editor information

Editors and Affiliations

  1. Dickson Computer Systems, Kowloon, Hong Kong SAR

    Dickson K. W. Chiu

  2. The University of Hong Kong, Pokfulam, Hong Kong SAR

    Minhong Wang

  3. University of Craiova, Craiova, Romania

    Elvira Popescu

  4. City University of Hong Kong, Hong Kong, Hong Kong SAR

    Qing Li

  5. City University of Hong Kong, Kowloon, Hong Kong SAR

    Rynson Lau

  6. Department of Computer Science and Information Engineering, National Central University, Jhongli City, Taiwan

    Timothy K. Shih

  7. Department of Electrical Engineering, National Cheng Kung University, Taiwan, Taiwan

    Chu-Sing Yang

  8. Digital Systems Centre for Research & Technology Hellas (CERTH), University of Piraeus Dept of Digital Systems, Piraeus, Greece

    Demetrios G. Sampson

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, Kl., Liu, Wy. (2015). Model of Teachers’ Personalized Decision Making on Activities and Resources in Web-Based Training. In: Chiu, D., et al. Advances in Web-Based Learning – ICWL 2013 Workshops. ICWL 2013. Lecture Notes in Computer Science(), vol 8390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46315-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-46315-4_6

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46314-7

  • Online ISBN: 978-3-662-46315-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation