A Method to Evaluate Learner´s Knowledge Structure in e-Learning

With the advent of e-learning, learners are able to repeatedly take quizzes at an opportune juncture. However, there is little research on this style of examination. In this research, a "consistency index", which was defined for a series of answers from repeated attempts of quizzes, was used to classify students into groups. The difference in the structure of the acquired knowledge for each group was clarified by Bayesian networks. As a result, a student who required additional individual counseling could be objectively detected. This method does not increase the student\´s workload and does not use a learner\´s subjective information