Learning Issues for Intelligent Tutoring Systems
Learning Issues for Intelligent Tutoring Systems
A dynamic view on cognitive student modeling in computer programming
Journal of Artificial Intelligence in Education
Effective backpropagation training with variable stepsize
Neural Networks
Building a Web-Based Education System
Building a Web-Based Education System
Instructional Models in Computer-Based Learning Environments
Instructional Models in Computer-Based Learning Environments
User Modeling and User-Adapted Interaction
A Hybrid Knowledge Representation Model in a Natural Language Interface to MS-DOS
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
A Connectionist Approach for Supporting Personalized Learning in a Web-Based Learning Environment
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Applying clustering algorithms to web-based adaptive virtual environments
Journal of Computational Methods in Sciences and Engineering
Hi-index | 0.00 |
In this paper a neuro-fuzzy approach is introduced to implement lesson adaptation in a Web-based course. Several key points that affect the effectiveness of an adaptive learning environment are investigated: the development of the educational material, the structure of the domain knowledge, the instructional design and the evaluation of the learner knowledge under uncertainty. The proposed approach allows generating the content of a hypermedia page from pieces of educational material based on a goal-oriented way of teaching and making use of the background knowledge of the learner.