Rule Discovery In Web-based EducationalSystems Using Grammar-Based GeneticProgramming
Cristóbal Romero, Sebastián Ventura, César Hervás‐Martínez, Pedro González · 2005
This paper describes the use of data mining methods in e-learning system for providing feedback to courseware authors. The discovered information is presented in the form of prediction rules since these are highly comprehensible and they show important relationships among the presented data. The rules will be used to improve courseware, specially Adaptive Systems for Web-based Education (ASWE). We propose to use evolutionary algorithms as rule discovery methods, concretely Grammar-Based Genetic Programming (GBGP) with multiobjective optimization techniques. We have developed a specific tool named EPRules (Education Prediction Rules) to facilitate and simplify the knowledge discovery process for usage data in web-based education systems.