Abstract
The mismatch between ‘traditional‘ educational model and the e-Learning has drawn the research attention on personalized instruction, one of the growing concerns in HCI. This paper presents a framework that can be used as a basis for the identification of an appropriate type of personalization. Our idea is that users who demonstrate particular learning styles, as identified in Felder-Silverman’s learning style theory, require a specific e-learning environment that matches their learning preferences. In particular, the framework is formulated to investigate how the different modalities presenting e-Learning content will influence the students’ learning quality and experience. The considered learning styles profile in this paper is typical for a science and technology domain student. Through this framework we expect that learning preferences of a certain type of learners could be better supported and consequently their improved learning performance.
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References
Neal, L., Korman, K.: eLearning SIG. In: Conference on Human Factors in Computing Systems, Ft. Lauderdale, Florida, USA, pp. 870–871. ACM Press, New York, NY, USA (2003)
Ford, N., Chen, S.Y.: Individual differences, hypermedia navigation, and learning: An empirical study. Journal of Educational Multimedia and Hypermedia 9, 281–312 (2000)
Weller, M.: Learning and teaching. Health Information and Libraries Journal 21, 74–77 (2004)
Fischer, F., Troendle, P., Mandl, H.: Using the Internet to Improve University Education: Problem-Oriented Web-Based Learning with MUNICS. Interactive Learning Environments 11, 193–214 (2003)
Forman, D.: Cultural Change for the E-World. In: ICCE 2002. Proceedings of the International Conference on Computers in Education. IEEE (2002)
Benyon, D., Höök, K.: Navigation in Information Spaces: supporting the individual. In: Human-Computer Interaction: INTERACT 1997, pp. 39–46. Chapman and Hall, London (1997)
Magoulas, G.D., Papanikolaou, K., Grigoriadou, M.: Adaptive web-based learning: accommodating individual differences through system’s adaptation. British Journal of Educational Technology 34, 511–527 (2003)
O’Connor, T.: Using Learning Styles to Adapt Technology for Higher Education. Indiana State University (1997)
Federico, P.: Learning styles and student attitudes toward various aspects of network-based instruction. Computers in Human Behavior 16, 359–379 (2000)
Piombo, C., Batatia, H., Ayache, A.: A Framework for Adapting Instruction to Cognitive Learning Styles. In: ICALT 2003. Proc. The 3rd IEEE International Conference on Advanced Learning Technologies, pp. 434–435. IEEE, Athens, Greece (2003)
Carver, C.A.J., Howard, R.A., Lane, W.D.: Enhancing Student Learning Through Hypermedia Courseware and Incorporation of Student Learning Styles. Transactions on Education 42, 33–38 (1999)
Hong, H.K.: Adaptation to Student Learning Styles in Web Based Educational Systems. In: Proc. ED-MEDIA, - World Conference on Educational Multimedia, Hypermedia & Telecommunications. AACE, Lugano, Switzerland, pp. 491–496 (2004)
Sabry, K., Baldwin, L.: Web-based learning interaction and learning styles. British Journal of Educational Technology 34, 443–454 (2003)
Dimitrova, M., Sadler, C., Hatzipanagos, S., Murphy, A.: Addressing Learner Diversity by Promoting Flexibility in e-Learning Environments. In: DEXA 2003. Proc. The 14th International Workshop on Database and Expert Systems Applications. IEEE, Prague, Czech Republic, pp. 287–291 (2003)
Keefe, J.W.: Learning Style: an overview. In: Keefe, J.W. (ed.) Learner Learning Styles: Diagnosing and Prescribing Programs, Reston (1979)
Felder, R.M., Silverman, L.K.: Learning and teaching styles in engineering education. Engineering Education 78, 674–681 (1988)
Witkin, H.A., Moore, C.A., Goodenough, D.R., Cox, P.W.: Field-dependent and field-independent cognitive styles and their educational implication. Review of Educational Research 47, 1–64 (1977)
Witkin, H.A., Goodenough, D.R.: Cognitive Styles, Essence and Origins: Field Dependence and Field Independence. International Universities, New York (1981)
Honey, P., Mumford, A.: Using Your Learning Styles. Peter Honey, Maidenhead, UK (1986)
Honey, P., Mumford, A.: The Manual of Learning Styles, 3rd edn. Peter Honey, UK (1992)
Kolb, D.: Learning Style Inventory: Technical Manual. McBear and Co., Boston (1976)
Kolb, D.A.: Experiential learning: Experience as the Source of Learning and Development. Prentice Hall, Englewood Cliffs, NJ (1984)
Myers, I.B., McCaulley, M.H.: A guide to the development and use of the Myers-Briggs Type Indicator. Consulting Psychologists Press, Palo Alto, CA (1985)
Kuljis, J., Liu, F.: A Comparison of Learning Style Theories on The Suitability for E-Learning. In: WTAS 2005. Proc. The IASTED International Conference on Web Technologies, Applications, and Services, pp. 191–197. ACTA Press, Calgary, Alberta, Canada (2005)
Hill, J., Puurula, A., Sitko-Lutek, A., Rakowska, A.: Cognitive Style and Socialisation: an exploration of learned sources of style in Finland, Poland and the UK. Educational Psychology 20, 285–305 (2000)
Montgomery, S.M.: Addressing diverse learning styles through the use of multimedia. In: Frontiers in Education Conference. pp. 13–21, IEEE (1995)
Felder, R.M.: Reaching the Second Tier: Learning and Teaching Styles in College Science Education. J. College Science Teaching 23, 286–290 (1993)
Felder, R.M.: MATTERS OF STYLE. American Society for Engineering Education Prism 6, 18–23 (1996)
Felder, R.M., Spurlin, J.: Applications, Reliability and Validity of the Index of Learning Styles. International Journal of Engineering Education 21, 103–112 (2005)
Paredes, P., Rodriguez, P.: Considering Learning Styles in Adaptive Web-based Education. In: Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics en Orlando, Florida, pp. 481–485 (2002)
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Liu, F., Kuljis, J., Lines, L. (2007). Breaking the Traditional E-Learning Mould: Support for the Learning Preference Approach. In: Jacko, J.A. (eds) Human-Computer Interaction. HCI Applications and Services. HCI 2007. Lecture Notes in Computer Science, vol 4553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73111-5_34
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DOI: https://doi.org/10.1007/978-3-540-73111-5_34
Publisher Name: Springer, Berlin, Heidelberg
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