Bozidar Kovacic

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Intelligent tutoring systems (ITS) are able to provide a personalized approach to learning by assuming the role of a real teacher/expert who adapts and steers the learning process according to the specific needs of each learner. This is done by taking into account a number of learner features and deciding on the best action to follow at any point in the(More)
In this paper we present initial results of the ongoing effort in building Victor, a virtual affective tutor system for online tutoring. Victor is an Embodied Conversational Agent (ECA) integrated in a Online Tutoring System and capable of providing basic feedback about the learning process by talking to the student, gesturing and displaying facial(More)
Since the creation of Web-based learning systems researchers have tried to make them adaptive to various characteristics of learners in order to increase the quality of learning. The application of data mining (DM) methods on learning system logs is often used as a basis of intelligent tutoring systems (ITS) that have the ability for automatic adaptation of(More)
In this paper we present a model of a system for integration of an intelligent tutoring system with data mining tools. The purpose of the integration is twofold; a) to power the system adaptability based on clustering and sequential pattern mining, and b) to enable teachers (non-experts in data mining) to use data mining techniques in their web browser on a(More)
Information technology has crucial importance in e-commerce. E-commerce includes many fields of information technology and their practical usage. The users of ecommerce need to receive a thorough and up-to-date education about the new technological solutions in order to maximize the usage of new technologies and services developed using these technologies.(More)
The influence of social networks, Facebook especially, and on student population are often subject to various investigations. The analysis of the interdependence between the values that determine trends in the use of social networks in the student population is possible to determine the impact of social networks on students' evaluation and results. The(More)