2 research outputs found
A New Approach of Learning Hierarchy Construction Based on Fuzzy Logic
In recent years, adaptive learning systems rely increasingly on learning
hierarchy to customize the educational logic developed in their courses. Most
approaches do not consider that the relationships of prerequisites between the
skills are fuzzy relationships. In this article, we describe a new approach of
a practical application of fuzzy logic techniques to the construction of
learning hierarchies. For this, we use a learning hierarchy predefined by one
or more experts of a specific field. However, the relationships of
prerequisites between the skills in the learning hierarchy are not definitive
and they are fuzzy relationships. Indeed, we measure relevance degree of all
relationships existing in this learning hierarchy and we try to answer to the
following question: Is the relationships of prerequisites predefined in initial
learning hierarchy are correctly established or not?Comment: 58-6
A tool for implementation of a domain model based on fuzzy relationships
The domain model is one of the important components used by adaptive learning
systems to automatically generate customized courses for the learners. In this
paper our contribution is to propose a new tool for implementation of a domain
model based on fuzzy relationships among concepts. This tool allows the experts
and teachers to find the best parameters in order to adapt the learners's
differences.Comment: 61-6