Application Of Intelligent Adaptive Systems In A Competitive Learning Environment

Most of the current e-learning systems are used as a vehicle to deliver contents to students, according to an established sequence previously defined by the teacher. Pedagogical research suggests that learning characteristics vary for each individual learner and that students prefer to use different types of resources in distinct ways. This paper introduces an ongoing research on intelligent adaptive learning methods and tools in order to adapt a competitive learning system called QUESTOURnament to the particular features and needs of each student. QUESTOURnament is an active and competitive learning tool in which contests with several unclassified challenges are organized. The new adaptive QUESTOURnament will classify the challenges on the basis of their estimated level of difficulty and will establish learning paths adapted to each student.