Model inteligentnog tutorskog sistema za unapređenje informatičkih kompetencija studenata

Abstract

Disertacija se bavi problematikom unapređenja informatičkih kompetencija studenata. Osnovna funkcija sistema je personalizacija nastavnih sadržaja prema trenutnom nivou znanja studenta. Na osnovu toga dizajniran je model inteligentnog tutorskog sistema koji se sastoji od osnovnih funkcionalnih dijelova: modela Tutor, modela Student i mehanizma za zaključivanje. U sistemu su razvijeni moduli za procjenu znanja studenta, isporuku nastavnih sadržaja, unapređenja kompetencija i automatsku sintezu IF...THEN pravila. Procjena znanja vrši se pomoću Mamdani fazi inferentnog metoda. Mehanizam za isporuku nastavnih sadržaja radi na principu Alfa algoritma. Automatska sinteza IF...THEN pravila bazirana je na Teoriji grubih skupova. Unapređenje kompetencija vrši se pomijeranjem u desno parametara funkcije pripadnosti koja predstavlja studentove kompetencije. Eksperimentalno testiranje rada sistema izvršeno je na Java programskom jeziku.

The present dissertation deals with the issue of upgrading the students’ ICT competencies. The fundamental function of the system is aimed at personalization of educational contents in accordance with the student’s current level of knowledge. On the basis of this, a model of the intelligent tutoring system that consists of basic functional components – the Tutor model, the Student model and a deduction mechanism – has been designed. Within this system the modules for assessing students’ knowledge, delivery of educational contents, competence upgrading and automatic synthesis of IF ... THEN rules have been developed. The knowledge assessment is carried out by means of a Mamdani’s fuzzy inference method. The mechanism for educational content delivery operates on the principle of an Alpha algorithm. The automatic synthesis of IF ... THEN rules is based on a rough set theory. The upgrading of the competencies is performed by moving to the right the parameters of a membership function which represents the student's competence. Experimental testing of the system was carried out using the Java programming language.