slavomir stankov
Pmfst, Computer science, Faculty Member
Sažetak: Temeljem protokola i plana istraživanja na projektu 0177110 tijekom zimskog semestra akademske godine 2002/2003 izvršeno je istraživanje o ustanovljavanju utjecaja i prihvaćanja hipermedijske autorske ljuske u nastavi na... more
Sažetak: Temeljem protokola i plana istraživanja na projektu 0177110 tijekom zimskog semestra akademske godine 2002/2003 izvršeno je istraživanje o ustanovljavanju utjecaja i prihvaćanja hipermedijske autorske ljuske u nastavi na Fakultetu prirodoslovno &# 8211; ...
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The method of process control teaching of chemical engineering students and engineering by means of cybernetic model of a system, supported by the experimental plant developed in a laboratory, is presented. The process has been designed... more
The method of process control teaching of chemical engineering students and engineering by means of cybernetic model of a system, supported by the experimental plant developed in a laboratory, is presented. The process has been designed and adapted so it would enable teaching in both traditional and modern control methods. The method is then considered as a basis for development
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This paper describes a concept of stereotype student model in adaptive knowledge acquisition e-learning system. Defined knowledge stereotypes are based on student's proficiency level and on Bloom's knowledge taxonomy. The teacher... more
This paper describes a concept of stereotype student model in adaptive knowledge acquisition e-learning system. Defined knowledge stereotypes are based on student's proficiency level and on Bloom's knowledge taxonomy. The teacher module is responsible for the whole adaptivity process: the automatic generation of courseware elements, their dynamic selection and sorting, as well as their adaptive presentation using templates for statements and questions. The adaptation of courseware is realized according to student’s knowledge stereotype.
This paper describes an Adaptive Courseware Tutor – an intelligent tutoring system based on stereotypes, Bayesian networks and Bloom's knowledge taxonomy. The main feature of our approach is the automatization of learning object... more
This paper describes an Adaptive Courseware Tutor – an intelligent tutoring system based on stereotypes, Bayesian networks and Bloom's knowledge taxonomy. The main feature of our approach is the automatization of learning object generation and courseware adaptivity in every stage of learning and teaching process. The student module is enhanced by double stereotypes based on student's knowledge level and on Bloom's knowledge taxonomy, as well as, by Bayesian networks. The tutor module is responsible for the automatic generation of courseware elements, their dynamic selection and sorting, as well as their adaptive presentation using templates for statements and questions. In order to evaluate the model's effectiveness, a controlled experiment with a large sample was conducted.
The integration of hypermedia and an intelligent tutoring system in a newly developed authoring tool TEx-Sys (Tutor-Expert System) is presented. The student explores cyberspace which is defined as domain knowledge like a cybernaut and... more
The integration of hypermedia and an intelligent tutoring system in a newly developed authoring tool TEx-Sys (Tutor-Expert System) is presented. The student explores cyberspace which is defined as domain knowledge like a cybernaut and acquires skills and knowledge. The TEx-Sys system is modularly structured and consists of a logic model, a tutor shell, a communication module in quasi-natural language, a
Research Interests: Chemical Engineering, Mathematics, Computer Science, Expert Systems, Computer Science Education, and 14 moreProcess Control, Knowledge Representation, Semantic Networks, Hypertext, Student Modelling, Natural language, expert System, Semantic Network, Intelligent Tutoring System, Domain Knowledge, Knowledge base, Learning Process, Production Rule, and Multimedia Authoring Tool
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Research Interests: Social learning and Web
University of Zagreb, Faculty of Chemical Engineering and Technology, Department of Measurement and Process Control Savska c.16/5a, 10 000 Zagreb, Croatia, fax: + 385 1 4843 556, bolf@fkit.hr, jbozic@fkit.hr ... *University of Split,... more
University of Zagreb, Faculty of Chemical Engineering and Technology, Department of Measurement and Process Control Savska c.16/5a, 10 000 Zagreb, Croatia, fax: + 385 1 4843 556, bolf@fkit.hr, jbozic@fkit.hr ... *University of Split, Faculty of Natural Sciences, ...
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Abstract: U svrhu ispitivanja učinka sustava e-učenja, pristupili smo definiranju vlastite metodologije za vrednovanje. Definirali smo varijantu eksperimentalnog istraživanja s paralelnim grupama kod kojeg postoje dvije grupe... more
Abstract: U svrhu ispitivanja učinka sustava e-učenja, pristupili smo definiranju vlastite metodologije za vrednovanje. Definirali smo varijantu eksperimentalnog istraživanja s paralelnim grupama kod kojeg postoje dvije grupe ispitanika–kontrolna i eksperimentalna ...