Multicriteria evaluation of gifted students

Dostál, Petr; Machů, Eva; Škapa, Stanislav

dc.title	Multicriteria evaluation of gifted students	en
dc.contributor.author	Dostál, Petr
dc.contributor.author	Machů, Eva
dc.contributor.author	Škapa, Stanislav
dc.relation.ispartof	Proceedings of the 27th International Business Information Management Association Conference - Innovation Management and Education Excellence Vision 2020: From Regional Development Sustainability to Global Economic Growth, IBIMA 2016
dc.identifier.isbn	978-0-9860419-6-9
dc.date.issued	2016
dc.citation.spage	262
dc.citation.epage	268
dc.event.title	27th International Business Information Management Association Conference - Innovation Management and Education Excellence Vision 2020: From Regional Development Sustainability to Global Economic Growth, IBIMA 2016
dc.event.location	Milan
utb.event.state-en	Italy
utb.event.state-cs	Itálie
dc.event.sdate	2016-05-04
dc.event.edate	2016-05-05
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	International Business Information Management Association, IBIMA
dc.relation.uri	http://ibima.org/accepted-paper/multicriteria-evaluation-of-gifted-students/
dc.subject	Evaluation of gifted students	en
dc.subject	Fuzzy logic	en
dc.subject	Gifted student	en
dc.description.abstract	The article deals with the multi-criteria evaluation of gifted students. Students were evaluated with nine criteria: level of learning quality, logic thinking, creativity in spoken and written expressions, broad vocabulary application, text comprehension, knowledge of school subject, reading, speaking, activity and motivation. The research problem is how to evaluate these multicriteria into one final outcome. The fuzzy logic was used for evaluation of gifted students. The advantage of fuzzy logic comes from using of vague variables and settings of weights of importance in used evaluation process. Copyright © 2016 International Business Information Management Association	en
utb.faculty	Faculty of Humanities
dc.identifier.uri	http://hdl.handle.net/10563/1006675
utb.identifier.obdid	43875287
utb.identifier.scopus	2-s2.0-84984611721
utb.identifier.wok	000381172300033
utb.source	d-scopus
dc.date.accessioned	2016-10-25T12:38:04Z
dc.date.available	2016-10-25T12:38:04Z
utb.contributor.internalauthor	Machů, Eva
utb.fulltext.affiliation	Petr Dostál, Institute of Informatics, Faculty of Business and Management, Brno University of Technology, Brno, Czech Republic, dostal@fbm.vutbr.cz Eva Machů, Department of School Pedagogy, Faculty of Humanities, Tomas Bata University in Zlín, Zlín, Czech Republic, machu@fhs.utb.cz Stanislav Škapa, Institute of Economics, Faculty of Business and Management, Brno University of Technology, Brno, Czech Republic, skapa@fbm.vutbr.cz
utb.fulltext.dates	-
utb.fulltext.references	Callahan, C.M. (2004). Program Evaluation in Gifted Education. USA: Corwin Press – A Sage Publications Company. Callahan, C.M. and Renzulli, J. (2012). Considerations for Identification of Gifted and Talented Students: An Introduction to Identification. In Callahan, C.M., Herberg-Davis, H.L. Fundamentals of Gifted Education: Considering Multiple Perspectives. UK: Routledge, p.83 – 91. Dostál, P. and Machů, E. Fuzzy Clustering in Education of Gifted Pupils, In The 26th International Business Information Management Association Conference, Spain, 2015, p.1331-1336, ISBN: 978-0-9860419-5-2. Dostál, P. (2011). Advanced decision making in business and public services. Czech Republic: CERM Academic Publishing House. Dostál, P. (2014). The Use of Soft Computing in Management. In Vasant, P. Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications. USA: IGI Globe, 2013. Heward, W.L. (2013). Exceptional Children. An Introduction to Special Education. Ohio: Pearson Education. Hunsaker, S.L. (2012). The Theory and Practise of Identifying Students for Gifted and Talented Education Services. USA: Prufrock. Porter, L. (1999). Gifted Young Children. A guide for teachers and parents. Buckingham: Open University Press. Renzulli, J.S. and Reis, S.M. (2004). Identification of Students for Gifted and Talented Programs (Essential Readings in Gifted Education Series). Corwin Press: Thousand Oaks - CA. Riley, T. L. (2011). Teaching Gifted Students in the Inclusive Classroom. USA: Prufrock. Zadeh, L.A. (1965). Fuzzy sets. Information and Control 8, 338-353. Zadeh, L.A. (2012). A Definition of Soft Computing - adapted from L.A. Zadeh. Retrieved January 10, 2013, from http://www.soft-computing.de/def.html.
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