Individualized tutoring using an intelligent fuzzy temporal relational database
International Journal of Man-Machine Studies
Neural networks applied to knowledge acquisition in the student model
Information Sciences: an International Journal
Effective backpropagation training with variable stepsize
Neural Networks
Machine Learning
Expert Systems with Applications: An International Journal
Computational Intelligence techniques for Web personalization
Web Intelligence and Agent Systems
Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques
Expert Systems with Applications: An International Journal
Hybrid model for learner modelling and feedback prioritisation in exploratory learning
International Journal of Hybrid Intelligent Systems - CIMA-08
Machine learning based learner modeling for adaptive web-based learning
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
Review Article: Applications of neuro fuzzy systems: A brief review and future outline
Applied Soft Computing
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In this paper, a neural network-based fuzzy modeling approach to assess student knowledge is presented. Fuzzy logic is used to handle the subjective judgments of human tutors with respect to student observable behavior and their characterizations of student knowledge. Student knowledge is decomposed into pieces and assessed by combining fuzzy evidences, each one contributing to some degree to the final assessment. The neuro-fuzzy synergism helps to represent teacher experience in an interpretable way, and allows capturing teacher subjectivity. The proposed approach was used to assess knowledge and misconceptions of simulated students interacting with the exploratory learning environment "Vectors in Physics and Mathematics", which is used by high school pupils to learn about vectors. In our experiments, this approach provided significant improvement in student diagnosis compared with previous attempts.