References

Abrahamian, E., J. Weinberg, M. Grady and C.M. Stanton, 2004. The effect of personality-aware computer-human interfaces on learning. J. Universal Comput. Sci., 10: 27-37.
Direct Link  |  

Akbulut, Y. and C.S. Cardak, 2012. Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011. Comput. Educ., 58: 835-842.
Direct Link  |  

Chrysafiadi, K. and M. Virvou, 2013. Student modeling approaches: A literature review for the last decade. Expert Syst. Appl., 40: 4715-4729.
Direct Link  |  

Crockett, K., A. Latham, D. Mclean and J. O'Shea, 2013. A fuzzy model for predicting learning styles using behavioral cues in an conversational intelligent tutoring system. Proceedings of the 2013 IEEE International Conference on Fuzzy Systems (FUZZ), July 7-10, 2013, IEEE, Chester, England, ISBN:978-1-4799-0021-3, pp: 1-8.

Crockett, K., A. Latham, D. Mclean, Z. Bandar and J. O'Shea, 2011. On predicting learning styles in conversational intelligent tutoring systems using fuzzy classification trees. Proceedings of the 2011 IEEE International Conference on Fuzzy Systems (FUZZ), June 27-30, 2011, IEEE, Manchester, England, ISBN:978-1-4244-7315-1, pp: 2481-2488.

Deborah, L.J., R. Sathiyaseelan, S. Audithan and P. Vijayakumar, 2015. Fuzzy-logic based learning style prediction in E-learning using web interface information. Sadhana, 40: 379-394.
CrossRef  |  Direct Link  |  

Dung, P.Q. and A.M. Florea, 2012. A literature-based method to automatically detect learning styles in learning management systems. Proceedings of the 2nd International Conference on Web Intelligence Mining and Semantics 2012, June 13-15, 2012, ACM, Craiova, Romania, ISBN:978-1-4503-0915-8, pp: 25-39.

Fatahi, S., H. Moradi and E. Farmad, 2015. Behavioral feature extraction to determine learning styles in E-learning environments. Proceeding of the 9th International Conference on E-Learning 2015, July 21-24, 2015, IADIS Publications, Canary Islands, Spain, pp: 66-72.

Felder, R.M. and L.K. Silverman, 1988. Learning and teaching styles in engineering education. Eng. Educ., 78: 674-681.
Direct Link  |  

Feldman, J., A. Monteserin and A. Amandi, 2015. Automatic detection of learning styles: State of the art. Artif. Intell. Rev., 44: 157-186.
CrossRef  |  Direct Link  |  

Garcia, P., A. Amandi, S. Schiaffino and M. Campo, 2007. Evaluating Bayesian networks precision for detecting students learning styles. Comput. Educ., 49: 794-808.
CrossRef  |  

Ghorbani, F. and G.A. Montazer, 2011. Learners grouping in E-learning environment using evolutionary fuzzy clustering approach. Int. J. Inf. Commun. Technol., 3: 9-19.
Direct Link  |  

Gonzalez, A.J., L. Xu and U.M. Gupta, 1998. Validation techniques for case-based reasoning systems. IEEE. Trans. Syst. Man Cybern., 28: 465-477.
CrossRef  |  Direct Link  |  

Graf, S. and T.C. Liu, 2008. Identifying learning styles in learning management systems by using indications from students behaviour. Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies (ICALT'08), July 1-5, 2008, IEEE, Zhongli District, Taiwan, ISBN:978-0-7695-3167-0, pp: 482-486.

Honey, P. and A. Mumford, 1982. The Manual of Learning Styles. Peter Honey Publications, Maidenhead, England.

Joerding, T., 1999. A temporary user modeling approach for adaptive shopping on the Web. Proceedings of the 2nd Workshop, 8th International Word Wide Web Conference and 7th International Conference on User Modeling on Adaptive Systems and User Modeling on the World Wide Web, May 11-June 24, 1999, World Wide Web, Toronto and Banff, Canada, pp: 25-30.

John, O.P., E.M. Donahue and R.L. Kentle, 1991. The big five inventory versions 4a and 54. Institute of Personality and Social Research, Berkeley, California.

Jonassen, H.D. and B.L. Grobowski, 1993. Handbook of Individual Differences, Learning and Instruction. 1st Edn., Lawrance Erlbaum Associates, USA., ISBN: 10: 0805814132, Pages: 512.

Kolb, D.A., 1984. Experiential Learning: Experience as the Source of Learning and Development. Prentice Hall, Englewood Cliffs, NJ., USA.

Kosba, E., V. Dimitrova and R. Boyle, 2005. Using student and group models to support teachers in web-based distance education. Proceedings of the 10th International Conference on User Modeling (UM 2005), July 24-29, 2005, Springer, Edinburgh, Scotland, pp: 124-133.

McCrae, R.R. and O.P. John, 1992. An introduction to the five-factor model and its applications. J. Personality, 60: 175-215.
CrossRef  |  Direct Link  |  

Pandey, B., R.B. Mishra and A. Khamparia, 2014. CBR based approach for adaptive learning in E-learning system. Proceedings of the 2014 Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), November 4-5, 2014, IEEE, Punjab, India, ISBN:978-1-4799-7278-4, pp: 1-6.

Schmitt, D.P., J. Allik, R.R. McCrae and V.B. Martinez, 2007. The geographic distribution of Big Five personality traits: Patterns and profiles of human self-description across 56 nations. J. Cross Cult. Psychol., 38: 173-212.
Direct Link  |  

Zatarain, C.R., M.L.B. Estrada, V.P. Angulo, A.J. García and C.A.R. García, 2010. A learning social network with recognition of learning styles using neural networks. Proceedings of the 2nd Mexican Conference on Pattern Recognition (MCPR 2010), September 27-29, 2010, Springer, Puebla, Mexico, pp: 199-209.

Zatarain, C.R., M.L.B. Estrada, V.P. Angulo, A.J. García and C.A.R. García, 2010. Identification of felder-silverman learning styles with a supervised neural network. Proceedings of the 6th International Conference on Intelligent Computing (ICIC 2010), August 18-21, 2010, Springer, Changsha, China, pp: 479-486.