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A conceptual framework for knowledge-based personalized e-learning system for tertiary education
PROCEEDINGS

, Universiti Teknologi Malaysia, Malaysia ; , Federal College of Animal Health & Production Technology, Vom, Nigeria

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Kona, Hawaii, United States Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

The need for reusable knowledge, interaction among learners, collaborative tools and learner-specific content is on the increase as teachers need to adequately understand how technology and pedagogy can be integrated into e-learning activities to be able to develop and deliver knowledge-enhanced personalized learning content. This study proposes a knowledge-based personalized e-learning system that meets the personal needs of learners. The study employed soft system methodology (SSM) and formal concept analysis (FCA) for knowledge elicitation/structuring and knowledge modelling/representation respectively. The proposed framework enables the integration of several knowledge components using a knowledge-based system to aid teachers in designing and presenting e-learning content and activity right from the selection, sequencing, up till the delivery, in such a way as to accommodate different teaching and learning pedagogy.

Citation

Chukwunonso, F. & Ikani, D. (2015). A conceptual framework for knowledge-based personalized e-learning system for tertiary education. In Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 75-83). Kona, Hawaii, United States: Association for the Advancement of Computing in Education (AACE). Retrieved June 20, 2019 from .

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