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Evaluation of E-Learners Behaviour using Different Fuzzy Clustering Models: A Comparative Study
[article]
2010
arXiv
pre-print
This paper introduces an evaluation methodologies for the e-learners' behaviour that will be a feedback to the decision makers in e-learning system. Learner's profile plays a crucial role in the evaluation process to improve the e-learning process performance. The work focuses on the clustering of the e-learners based on their behaviour into specific categories that represent the learner's profiles. The learners' classes named as regular, workers, casual, bad, and absent. The work may answer
arXiv:1003.1499v1
fatcat:zasj5tcy6vafjbzkr4vtw6fmu4