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Identification of gifted students via ANFIS for a purpose of their inclusion into special educational program

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dc.title Identification of gifted students via ANFIS for a purpose of their inclusion into special educational program en
dc.contributor.author Dostál, Petr
dc.contributor.author Machů, Eva
dc.contributor.author Rukovanský, Imrich
dc.relation.ispartof Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth - Proceedings of the 28th International Business Information Management Association Conference, IBIMA 2016
dc.identifier.isbn 9780986041983
dc.date.issued 2016
dc.citation.spage 2105
dc.citation.epage 2113
dc.event.title 28th International Business Information Management Association Conference - Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth
dc.event.location Seville
utb.event.state-en Spain
utb.event.state-cs Španělsko
dc.event.sdate 2016-11-09
dc.event.edate 2016-11-10
dc.type conferenceObject
dc.language.iso en
dc.publisher International Business Information Management Association (IBIMA)
dc.relation.uri http://ibima.org/accepted-paper/identification-gifted-students-via-anfis-purpose-inclusion-special-educational-program/
dc.subject ANFIS en
dc.subject Educational program en
dc.subject Gifted student en
dc.subject Identification en
dc.description.abstract The article deals with the identification of gifted students via Artificial Neural Fuzzy Interface System (ANFIS). Students were evaluated with three criteria: Superior creativity, Logical thinking and Learning quality. The research problem is how to identify gifted students. The ANFIS was used for identification of gifted students, which will lead to inclusion of students into special educational program. The advantage of ANFIS comes from setup of fuzzy rules and membership functions via data for identification process. en
utb.faculty Faculty of Humanities
dc.identifier.uri http://hdl.handle.net/10563/1007133
utb.identifier.obdid 43875905
utb.identifier.scopus 2-s2.0-85013944708
utb.identifier.wok 000392785700211
utb.source d-scopus
dc.date.accessioned 2017-08-01T08:27:16Z
dc.date.available 2017-08-01T08:27:16Z
utb.contributor.internalauthor Dostál, Petr
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 Imrich Rukovanský Brno International Business School – BIBS, Brno Czech Republic, rukovansky@bibs.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. Clark, B. (2013). Growing up gifted. Developing the potential of children at home and at school. California: Pearson. 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. Endepohls-Uple, M. and Ruf, H. (2005). Primary school teachers ́criteria for the identification of gifted pupils. High Ability Studies, 16, 2, 219 – 228. Gross, T. L. (2011). On the Social and Emotional Lives of Gifted Children. USA: Prufrock press. 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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