Published December 24, 2011 | Version 15243
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A Novel Adaptive E-Learning Model Based on Developed Learner's Styles

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Adaptive e-learning today gives the student a central role in his own learning process. It allows learners to try things out, participate in courses like never before, and get more out of learning than before. In this paper, an adaptive e-learning model for logic design, simplification of Boolean functions and related fields is presented. Such model presents suitable courses for each student in a dynamic and adaptive manner using existing database and workflow technologies. The main objective of this research work is to provide an adaptive e-learning model based learners' personality using explicit and implicit feedback. To recognize the learner-s, we develop dimensions to decide each individual learning style in order to accommodate different abilities of the users and to develop vital skills. Thus, the proposed model becomes more powerful, user friendly and easy to use and interpret. Finally, it suggests a learning strategy and appropriate electronic media that match the learner-s preference.

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References

  • Y. Tamura, T. Yamamuro, and T. Okamoto, "Distributed and Learner Adaptive E-Learning Environment with Use of Web Services," Proceedings of the Sixth International Conference on Advanced Learning Technologies, 2006 .
  • P. Kanaksabee, M. P. Odit, A. Ramdoyal " A Standard-Based Model For Adaptive E-Learning Platform For Mauritian Academic Institutions," Journal of International Education Research , Vol 7 No. 1, 2011, p.p.109-118.
  • T.I. Wang, K.T.Wang and Y.M. Huang: Using a style-based ant colony system for adaptive learning. ESWA, 2449-2464 (2008).
  • Yasir Eltigani Ali Mustafa and Sami Mohamed Sharif, "An approach to Adaptive E-learning Hypermedia System based on Learning Styles (AEHS-LS): Implementation and evaluation," International Journal of Library and Information Science, Vol. 3 No. 1, 2011, pp. 15 - 28.
  • Paramythis and Reisinger. "Adaptive Learning Environments and e- Learning Standards". Electronic Journal of eLearning 2004. http://www.ejel.org/volume-2/vol2-issue1/issue1-art11-paramythis.pdf. Retrieved 2010-03-13.
  • Fröschl, 2005 Fröschl, C. (2005). "User modeling and user profiling in adaptive e-learning systems: an approach for a service-based personalization solution for the research project ADELE (Adaptive e- Learning with eye-tracking)", unpublished master's thesis, Institute for Information Systems and Computer Media (IICM), Faculty of Computer Science, Graz University of Technology, Graz, Austria.
  • Robal, T. Kalja, A. , "Applying e-Environments in Teaching the Basics of Digital Logic, " mse, pp.41-42, 2007 IEEE International Conference on Microelectronic Systems Education (MSE'07), 2007.
  • Al-Zoubi, Abdullah and Jeschke, Sabina and Natho, Nicole and Pfeiffer, Olivier and Nsour, Jarir (2008) Integration of an Online Digital Logic Design Lab for IT Education. In: Proceedings of the 2008 ACM Information Technology Education Conference.ACM, pp. 237-241. ISBN 978-1-60558-329-7.
  • Damm, M., Bauer, F., Zucker, G. "Solving Digital Logic Assignments with Automatic Verification in SCORM Modules", accepted at the ICL 2009. [10] M Grigoriadou, Papanikolaou, K. Kornilakis. "INSPIRE: an intelligent system for personalized instruction in a remote environment", 3rd Workshop on Adaptive Hypertext and Hypermedia. Sonthofen, Germany, 2001. [11] K. Logan, K., P. Thomas: Learning style in Distance Education Students Learning to Program, Proc. Work. Psy. Prog. Int. group, Brunel University, pp. 29-44 (2002) [12] E. El Bachari, E. nAbdelwahed, M.El Adnani "Design of an Adaptive E-learning Model Baased on Learner's Personality", MIC' 10 International Conference, Rabat-Morocco, November 2010. [13] Y.C. Liao, "Effects of hypermedia on students" achievement: A metaanalysis. Journal of Educational Multimedia and Hypermedia, 1999 pp. 255-277. [14] L.J. Najjar, "Multimedia information and learning" Journal of Educational Multimedia and Hypermedia, 1996, pp. 129-150. [15] A. L. Franzoni, A. L. and S. Assar: Student Learning styles Adaptation Method on Teaching strategies and Electronic Media, Edu. Tech. Soc. 12 (4) 15-29 (2009). [16] P. Paredes and P. Rodriguez, "Considering sensingintuitive dimension to exposition-exemplification in adaptive sequencing", In Proceedings of the AH2002 Conference.Malaga, Spain, 2002, pp. 556-559. [17] Hong, Hong, Kinshuk. "Adaptation to Student Learning Styles in Web Based Educational Systems." Proceedings of ED-MEDIA 2004 - World Conference on Educational Multimedia, Hypermedia & Telecomunications. Lugano, Switzerland: L. Cantoni & C. McLoughlin, 2004, pp. 21-26. [18] A.L. Franzoni, and S. Assar."Using Learning Styles to enhance an e- Learning System.", Proceedings of the 6th European Conference on e- Learning (ECEL 2007). Academic conference management (ACI),Copenhagen, Denmark, 2007, pp. 235-244. [19] Vladimir Mateev, Svilena Todorova , Angel Smrikarov, Test system in digital logic design virtual laboratory: tasks delivery, Proceedings of the 2007 international conference on Computer systems and technologies, June 14-15, 2007, Bulgaria. [20] Damm, M., Bauer, F., Zucker, G. 'Solving Digital Logic Assignments with Automatic Verification in SCORM Modules', accepted at the ICL 2009. [21] Al-Zoubi, Abdullah and Jeschke, Sabina and Natho, Nicole and Pfeiffer, Olivier and Nsour, Jarir (2008) Integration of an Online Digital Logic Design Lab for IT Education. In: Proceedings of the 2008 ACM Information Technology Education Conference. ACM, pp. 237-241. ISBN 978-1-60558-329-7. [22] Vladimir Mateev. "Virtual Instrument for Truth Table Construction of Analytically-defined Boolean Functions" International Conference on Computer Systems and Technologies (CompSysTech-08), 2008. [23] R. M. Felder, L. K. Silverman.: Learning and Teaching Styles in Engineering Education, EE, 78 (7), 674-681 (1988).