elektronická verzia publikácie - FIIT STU

Annual report 2011 101Social Intelligent Recommendation for Learning(KEGA, 028-025STU-4/2010)Project leader: M. BielikováMembers UISI: M. Barla, A. Bou Ezzeddine, D. Chudá, T. Kramár, J. Lang,P. Michlík, P. Návrat, I. Polášek, A. Považanová, V. Rozinajová,V. Vranić, J. Suchal, M. Šimko, J. Tvarožek, M. TvarožekSupported by: Cultural and Educational Grand Agency of the Ministry of Educationof Slovak RepublicDuration: January 2010 – December 2011Description: The project aims to develop novel methods and techniques for learningbased on social relationships and intelligent recommendationwithin a learning environment. The relationships representing studentinterests explicitly as well as the implicit relationships emerging froma learning process will be utilized. The latter ones allow for a dynamicgroup formation for effective task solving, learning materials enrichmentby means of collaboration and social annotation and/or intelligentrecommendation of learning objects based on social relations andfolksonomies together with an effective navigation through an educationalcourse. The outcome of the project is an evaluation of proposedmethods in domain of learning programming based on emergingWeb 2.0 and Semantic Web technologies. Besides the methods,the learning materials for programming learning are created, whichcan be reused in different learning environments by other universities.Support of Plagiarism Prevention in E-Learning of Informatics(KEGA-345-032STU-4/2010)Project leader: D. ChudáMembers UISI: M. Bieliková, I. Dekýšová, A. B. Ezzeddine, D. Chudá, I. Kapustík,T. Kuzár, J. Lang, P. Návrat, I. Polášek, B. Steinmüller, J. Suchal,M. ŠimkoSupported by: Cultural and Educational Grand Agency of the Ministry of Educationof Slovak RepublicDuration: January 2010 – December 2011Description: Plagiarism is a growing threat, especially at universities where it canbe a highly demotivating factor both for teachers and students. Therefore,there are efforts to detect it and to reduce its occurrence. Plagiarismis a common problem that appears in various areas of our lives.Often, we learn about stolen ideas and disputes about them may evenend up in court. The project aims to design new methods for solvingthe complex problem of the process of collection and monitoring studentassignments and detecting them to avoid plagiarism.Virtual and constructive modelling, training and simulation of crowd behaviour inurban environment (APVV-0233-10)Project leader: P. Lacko for FIIT STUMembers UISI: I. Kapustík, P. Mederly, A. Paulovič, M. Svrček, V. VranićSupported by: Slovak Research and Development AgencyDuration: May 2011 – October 2014