INDeLER: eLearning Personalization by Mapping Studentâ??s Learning Style and Preference to Metadata

Authors

  • Dragica Vladimir Jovanovic Assistant professor
  • D. Milosevic Technical Faculty, Svetog Save 65, 32000 Cacak, Serbia
  • M. Zizovic Technical Faculty, Svetog Save 65, 32000 Cacak, Serbia

DOI:

https://doi.org/10.3991/ijet.v3i4.275

Keywords:

eLearning personalization, learning styles, metadata, pedagogical methods, personalized sequencing, student profile

Abstract


This paper presents the process of developing Student profile by mapping students categories explored with Felder- Solomanâ??s ILS questionnaire to the appropriate value of the personalization vector XYZ, and by deriving vector's values from the acquired studentâ??s answers on Preference test. Obtained values for XYZ vector form the PeLCoM metadata which provide recommendations for creating personalized eLearning experience. The architecture of Personalized eLearning System INDeLER is presented. INDeLER system derives studentâ??s profile, provides sequencing of personalized eLearning sessions and supports scenario for designing lessons content tailored to the individual student needs. Further, we describe how the personalization system INDeLER includes teacher's influence to the eLearning experience by composing different pedagogical aspects and corresponding didacticsâ?? and methodicâ?? processes to the unique way of teaching tailored to the particular student needs. The example of INDeLER personalization process is also shown.

Author Biography

Dragica Vladimir Jovanovic, Assistant professor

Railway College, Belgrade University Assistant professor for programing languages

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Published

2008-06-18

How to Cite

Jovanovic, D. V., Milosevic, D., & Zizovic, M. (2008). INDeLER: eLearning Personalization by Mapping Studentâ??s Learning Style and Preference to Metadata. International Journal of Emerging Technologies in Learning (iJET), 3(4), pp. 41–50. https://doi.org/10.3991/ijet.v3i4.275

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Section

Papers