A neuro-fuzzy approach to detect student´s motivation

In this paper the fuzzy knowledge representation of a neural network-based fuzzy model is presented. The model is used to assess student´s motivational state in a discovery learning environment. Student´s observable behavior and motivational factors are described with linguistic variables. The inputs of the model are tailored from real students´ data, with the assistance of a group of expert teachers. Results of our preliminary study were encouraging, since data obtained from real students´ log files, have been successfully used to form the membership functions that assign membership degrees to the linguistic values of the linguistic variables.