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Volume Two - Academic Conferences

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Fatemeh Orooji et al.<br />

study. In this way, experiments outcomes will be considered in modeling learners’ preferences and<br />

behaviors in an educational simulation and modeling tool prepared before (Orooji et al., 2010).<br />

Future work will deal with incorporating information about relationships between learners’ learning<br />

styles and their other characteristics like field of study. In this way, students’ evaluation results will be<br />

put together to detect special LS modelers which fit better to each category of students. In this way,<br />

identified LS modelers will be used in an automatic selection of the most effective questionnaire due<br />

to each leaner. Future work will also deal with analyzing the concept for providing adaptivity in more<br />

detail based on the dominant LS distinguished for each user. Unified LS modeling system provides<br />

some valuable guides for course instructors and system designers to provide some more effective<br />

content adaptations. Another direction of future work will be constructing a hierarchical concept map,<br />

a combination of different parts of LS modelers able to cover all styles, to be considered as a basis for<br />

integration mechanism. It really needs to understand the correlation between different LSs.<br />

Acknowledgments<br />

We thank Ms Fatemeh Noorani for her unpublished comprehensive lecture.<br />

References<br />

Bousbia, N., Rebaï, I. & Labat, J.-M. (2010) Analysing the Relationship between Learning Styles and Navigation<br />

Behaviour in Web-Based Educational System Knowledge Management & E-Learning: An International<br />

Journal, 2, 400.<br />

Briggs Myers, I. (1962) The Myers-Briggs Type Indicator. Consulting Psychologists Press. Palo Alto, CA.<br />

Brusilovsky, P. & Millán, E. (2007) User Models for Adaptive Hypermedia and Adaptive Educational Systems.<br />

The Adaptive Web. Springer-Verlag Berlin Heidelberg.<br />

Coffield, F., Moseley, D., Hall, E. & Ecclestone, K. (2004) Learning Styles and Pedagogy in post-16 learning: A<br />

systematic and critical review. Learning & Skills research centre,<br />

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Popescu, E. Trigano, P. & Badica, C. (2007) Towards a Unified Learning Style Model in Adaptive Educational<br />

Systems. International Conference on Advanced Learning Technologies, ICALT.<br />

Felder, R. M. & Silverman, L. K. (1988) Learning and Teaching Styles in Engineering Education. Engineering<br />

Education, 78 674-681.<br />

Graf, S. (2007) Adaptivity in Learning Management Systems Focussing on Learning Styles. Faculty of<br />

Informatics. Vienna, Vienna University of Technology.<br />

Grasha, A. F. & Riechmann, S. W. (1975) Student Learning Styles Questionnaire. Cincinatti, OH, University of<br />

Cincinatti, Faculty Resource Center,.<br />

Hashim, H. E. D. K. (2003) Online learning style and e-learning approaches. Australasian Computing Education<br />

Conference (ACE2003).<br />

Kolb, D. (1984) Experiential learning: experience as the source of learning and development, New Jersey:<br />

Prentice Hall.<br />

Montgomery, S. M. & Groat, L. N. (1998) Student Learning Styles and Their Implications for Teaching. CRLT<br />

Occasional Papers, The University of Michigan, No. 10,<br />

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Orooji, F., Sarjoughian, H. S. & Taghiyareh, F. (2010) Modeling & Simulation of Educational Multi-Agent Systems<br />

in DEVS-Suite. International Symposium on Telecomunications with emphesis on Information &<br />

Communication Technology (IST).<br />

Popescu, E., Trigano, P. & Badica, C. (2007) Towards a Unified Learning Style Model in Adaptive Educational<br />

Systems. International Conference on Advanced Learning Technologies (ICALT).<br />

Reed, W. M., Oughton, J. M., Ayersman, D. J., Ervin, J. R. & Giessler, S. F. (2000) Computer experience,<br />

learning style, and hypermedia navigation. Computers in Human Behavior, 16, 609-628.<br />

Siadaty, M. & Taghiyareh, F. (2007) PALS2: Pedagogically Adaptive Learning System based on Learning Styles.<br />

7th IEEE International Conference on Advanced Learning Technologies (ICALT).<br />

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