Considering cognitive traits and learning styles to open web-based learning to a larger student community

New Trends in ICT and Accessibility - Proceedings of the 1st International Conference in Information and Communication Technology and Accessibility, ICTA 2007

Volumn , Issue , 2007, Pages 21-26

  Kinshuk, ^a   Graf, Sabine ^b  

^a ATHABASCA UNIVERSITY   (Canada)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION PROCESS; COGNITIVE TRAITS; INDIVIDUAL CHARACTERISTICS; LEARNING ENVIRONMENTS; LEARNING STYLE; PRIOR KNOWLEDGE; WEB BASED LEARNING; WEB-BASED LEARNING SYSTEMS;

COMMUNICATION SYSTEMS; COMPUTER AIDED INSTRUCTION; E-LEARNING; EDUCATION; INFORMATION TECHNOLOGY;

LEARNING SYSTEMS;

EID: 84880247124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. D. H. Jonassen and B. L. Grabowski, Handbook of individual differences, learning, and instruction, Lawrence Erlbaum Associates, Hillsdale, New Jersey, 1993.
2. F. Paas, A. Renkl and J. Sweller, Cognitive load theory and instructional design: Recent developments, Educational Psychologist, 38, 2003, pp. 1-4.
3. J. Sweller, Cognitive load during problem solving, Cognitive Science, 12, 1988, pp. 257-285.
4. R. M. Felder and L. K. Silverman, Learning and teaching styles in engineering education, Engineering Education, 78, 1988, pp. 674-681. Preceded by a preface in 2002: http://www.ncsu.edu/felderpublic/Papers/LS-1988. pdf(retrieved July 23, 2006).
5. R. M. Felder and B. A. Soloman, 1997. Retrieved 30 April, 2006, from http://www.engr.ncsu.edu/learningstyles/ilsweb.html.
6. N. Bajraktarevic, W. Hall and P. Fullick, Incorporating learning styles in hypermedia environment: Empirical evaluation, Proceedings of the Workshop on Adaptive Hypermedia and Adaptive Web-Based Systems, Nottingham, UK, 2003, pp. 41-52.
7. I. J. Deary, Whiteman, M.C., Starr, J.M., Whalley, L.J., & Fox, H.C., The impact of childhood intelligence on later life: Following up the Scottish mental surveys of 1932 and 1947, Journal of Personality and Social Psychology, 86, 2004, pp. 130-147.
8. Kinshuk and T. Lin, User exploration based adaptation in adaptive learning systems, International Journal of Information Systems in Education, 1, 2003, pp. 22-31.
9. A. Kashihara, Kinshuk, R. Oppermann, R. Rashev and H. Simm, A cognitive load reduction approach to exploratory learning and its application to an interactive simulation-based learning system, Journal of Educational Multimedia and Hypermedia, 9, 2000, pp. 253-276.
10. G. A. Miller, The magic number seven, plus or minus two: Some limit of our capacity for processing information, Psychology Review, 63, 1956, pp. 81-96.
11. D. A. Kolb, Experiential learning: Experience as the source of learning and development, Prentice-Hall, Englewood Cliffs, New Jersey, 1984.
12. P. Honey and A. Mumford, The manual of learning styles, Peter Honey, Maidenhead, 1982.
13. C. A. Carver, R. A. Howard and W. D. Lane, Addressing different learning styles through course hypermedia, IEEE Transactions on Education, 42, 1999, pp. 33-38.
14. J. Kuljis and F. Liu, A comparison of learning style theories on the suitability for elearning, in M. H. Hamza, ed., Proceedings of the IASTED Conference on Web Technologies, Applications, and Services, ACTA Press, 2005, pp. 191-197.
15. Kinshuk and T. Lin, Cognitive profiling towards formal adaptive technologies in web-based learning communities, International Journal of WWW-based Communities, 1, 2004, pp. 103-108.
16. T. Lin and Kinshuk, Cognitive profiling in life-long learning, in C. Howard, J. V. Boettcher, L. Justice, K. Schenk, P. L. Rogers and G. A. Berg, eds., Encyclopedia of International Computer-Based Learning, Idea Group Inc., Hershey, PA, USA, 2005, pp. 245-255.
17. Kinshuk and T. Lin, Adaptive Approaches in Web Learning Communities - Enhancing the Quality of Technical and Vocational Education, Proceedings of the UNESCO-UNEVOC/JSiSE International Seminar on Human Development for Knowledge Based Society, Japan, 2005, pp. 113-132.
18. T. Lin and Kinshuk, Dichotomic node network and cognitive trait model, Proceedings of IEEE International Conference on Advanced Learning Technologies, IEEE Computer Science, Los Alamitos, CA, 2004, pp. 702-704.
19. S. Graf and Kinshuk, An approach for detecting learning styles in learning management systems, Proceedings of the International Conference on Advanced Learning Technologies, IEEE Computer Science, Alamitos, CA, 2006, pp. 161-163.
20. S. Graf, T. Lin and Kinshuk, The relationship between learning styles and cognitive traits - getting additional information for improving student modelling, International Journal on Computers in Human Behavior, in press.
21. Web-OSPAN, 2007. Retrieved 22 February, 2007, from http://altrc.massey. ac.nz/~tylin/webOSPAN.