Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
Individualized tutoring using an intelligent fuzzy temporal relational database
International Journal of Man-Machine Studies
On the use of neural networks in intelligent tutoring systems
Journal of Artificial Intelligence in Education
Neurocomputations in Relational Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Using a neural network to predict student responses
SAC '92 Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's
Applications of simulated students: an exploration
Journal of Artificial Intelligence in Education
STEPS: a simulated, tutorable physics student
Journal of Artificial Intelligence in Education
Neural networks applied to knowledge acquisition in the student model
Information Sciences: an International Journal
Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A. Zadeh
Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A. Zadeh
Fuzzy sets, fuzzy logic, and fuzzy systems
Fuzzy languages and their relation to human and machine intelligence
Fuzzy sets, fuzzy logic, and fuzzy systems
Knowledge representation in fuzzy logic
Fuzzy sets, fuzzy logic, and fuzzy systems
Advances in local student modeling using informal fuzzy reasoning
International Journal of Human-Computer Studies
Application of fuzzy logic techniques in the BSS1 tutoring system
Journal of Artificial Intelligence in Education
Effective backpropagation training with variable stepsize
Neural Networks
Uncertainty processing in user-modeling activity
Information Sciences—Informatics and Computer Science: An International Journal - Special issue using fuzzy algebraic structures in intelligent systems
Modeling and linguistic knowledge extraction from systems using fuzzy relational models
Fuzzy Sets and Systems - Special issue on formal methods for fuzzy modeling and control
Machine Learning
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Using Bayesian Networks to Manage Uncertainty in Student Modeling
User Modeling and User-Adapted Interaction
Interest Derivation through Keywords
EUROMICRO '05 Proceedings of the 31st EUROMICRO Conference on Software Engineering and Advanced Applications
Expert Systems with Applications: An International Journal
Learner Modelling in Exploratory Learning for Mathematical Generalisation
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Comparison of intelligent systems in detecting a child's mathematical gift
Computers & Education
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Modeling children's mathematical gift by neural networks and logistic regression
Expert Systems with Applications: An International Journal
ICCOM'10 Proceedings of the 14th WSEAS international conference on Communications
A case-based reasoning approach to provide adaptive feedback in microworlds
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
User behaviour-driven group formation through case-based reasoning and clustering
Expert Systems with Applications: An International Journal
Adaptive neuro-fuzzy pedagogical recommender
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Review: Student modeling approaches: A literature review for the last decade
Expert Systems with Applications: An International Journal
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 implementation for a fuzzy logic-based model of the diagnostic process is proposed as a means to achieve accurate student diagnosis and updates of the student model in Intelligent Learning Environments. The neurofuzzy synergy allows the diagnostic model to some extent "imitate" teachers in diagnosing students' characteristics, and equips the intelligent learning environment with reasoning capabilities that can be further used to drive pedagogical decisions depending on the student learning style. The neuro-fuzzy implementation helps to encode both structured and non-structured teachers' knowledge: when teachers' reasoning is available and well defined, it can be encoded in the form of fuzzy rules; when teachers' reasoning is not well defined but is available through practical examples illustrating their experience, then the networks can be trained to represent this experience. The proposed approach has been tested in diagnosing aspects of student's learning style in a discovery-learning environment that aims to help students to construct the concepts of vectors in physics and mathematics. The diagnosis outcomes of the model have been compared against the recommendations of a group of five experienced teachers, and the results produced by two alternative soft computing methods. The results of our pilot study show that the neuro-fuzzy model successfully manages the inherent uncertainty of the diagnostic process; especially for marginal cases, i.e. where it is very difficult, even for human tutors, to diagnose and accurately evaluate students by directly synthesizing subjective and, some times, conflicting judgments.