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Pregled bibliografske jedinice broj: 387767

Comparison of intelligent systems in detecting a child’ s mathematical gift


Pavleković, Margita; Zekić-Sušac, Marijana; Đurđević, Ivana
Comparison of intelligent systems in detecting a child’ s mathematical gift // Computers and Education, 53 (2009), 142-154 doi:10.1016/j.compedu.2009.01.007 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 387767 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Comparison of intelligent systems in detecting a child’ s mathematical gift

Autori
Pavleković, Margita ; Zekić-Sušac, Marijana ; Đurđević, Ivana

Izvornik
Computers and Education (0360-1315) 53 (2009); 142-154

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Elementary education; Evaluation methodologies; Mathematical gift; Expert system; Neural networks

Sažetak
This paper compares the efficiency of two intelligent methods: expert systems and neural networks, in detecting children’ s mathematical gift at the fourth grade of elementary school. The input space for the expert system and the neural network model consisted of 60 variables describing five basic components of a child’ s mathematical gift identified in previous research. The expert system estimated a child’ s gift based on heuristically defined logic rules, while the scientifically confirmed psychological evaluation of gift based on Raven’ s standard progressive matrices was used at the output of neural network models. Three neural network algorithms were tested on a Croatian dataset. The results show that both the expert system and the neural network recognize more pupils as mathematically gifted than teachers do. The expert system produces the highest average hit rate, although the highest accuracy in classifying gifted children is obtained by the radial basis neural network algorithm, which also yields lower type II error. Due to the ability of expert systems to explain the result, it can be suggested that both the expert system and the neural network model have potential to serve as effective intelligent decision support tools in detecting mathematical gift in early stage, therefore enabling its further development.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
245-0000000-3230 - Obrazovanje učenika s posebnim interesom za matematiku
010-0101195-0872 - Transformacija poduzetničkog potencijala u poduzetničko ponašanje (Pfeifer, Sanja, MZOS ) ( POIROT)
010-0101195-1048 - Modeli za ocjenu rizičnosti poslovanja poduzeća (Šarlija, Nataša, MZOS ) ( POIROT)

Ustanove:
Ekonomski fakultet, Osijek,
Fakultet za odgojne i obrazovne znanosti, Osijek

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

Pavleković, Margita; Zekić-Sušac, Marijana; Đurđević, Ivana
Comparison of intelligent systems in detecting a child’ s mathematical gift // Computers and Education, 53 (2009), 142-154 doi:10.1016/j.compedu.2009.01.007 (međunarodna recenzija, članak, znanstveni)
Pavleković, M., Zekić-Sušac, M. & Đurđević, I. (2009) Comparison of intelligent systems in detecting a child’ s mathematical gift. Computers and Education, 53, 142-154 doi:10.1016/j.compedu.2009.01.007.
@article{article, year = {2009}, pages = {142-154}, DOI = {10.1016/j.compedu.2009.01.007}, keywords = {Elementary education, Evaluation methodologies, Mathematical gift, Expert system, Neural networks}, journal = {Computers and Education}, doi = {10.1016/j.compedu.2009.01.007}, volume = {53}, issn = {0360-1315}, title = {Comparison of intelligent systems in detecting a child and \#8217; s mathematical gift}, keyword = {Elementary education, Evaluation methodologies, Mathematical gift, Expert system, Neural networks} }
@article{article, year = {2009}, pages = {142-154}, DOI = {10.1016/j.compedu.2009.01.007}, keywords = {Elementary education, Evaluation methodologies, Mathematical gift, Expert system, Neural networks}, journal = {Computers and Education}, doi = {10.1016/j.compedu.2009.01.007}, volume = {53}, issn = {0360-1315}, title = {Comparison of intelligent systems in detecting a child and \#8217; s mathematical gift}, keyword = {Elementary education, Evaluation methodologies, Mathematical gift, Expert system, Neural networks} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka::


  • Computer and Information Systems Abstracts
  • ERIC: Educational Resources Information
  • INSPEC
  • PsychINFO
  • CSA Mechanical & Transportation Engineering Abstracts
  • Computer Science Index
  • Computing Reviews
  • Contents Pages in Education
  • ERA
  • Education Abstracts
  • Education Index
  • Education Research Index
  • Education Technology Abstracts
  • Education Management Abstracts
  • Scopus


Citati:





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