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Deriving a prototype for the dynamic generation of learning path in an e-learning environment using genetic algorithm

D. Anitha and C. Deisy

International Journal of Innovation and Learning, 2013, vol. 14, issue 1, 30-40

Abstract: E-learning has been regarded as the future education and focused by many research works to improve its intelligence and effectiveness as a knowledge-based system. Personalised e-learning, is one of such major issues in the field of knowledge-based e-learning systems. Teaching according to the ability and attitude of the learners is one of the major concerns of personalised e-learning. This research work proposes a new method for dynamic generation of learning path using genetic algorithm. This work recommends dynamic learning content, teaching methodology and assessments based on the learners' knowledge and attitude identified by Bloom's taxonomy.

Keywords: personalised e-learning; dynamic learning paths; innovation; Bloom's taxonomy; genetic algorithms; electronic learning; online learning; teaching methodology; learner assessment. (search for similar items in EconPapers)
Date: 2013
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