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A NEURAL NETWORK MODEL FOR PREDICTING CHILDREN’S MATHEMATICAL GIFT

Margita Pavleković ; Faculty of Teacher Education, University of Josip Juraj Strossmayer in Osijek
Marijana Zekić-Sušac ; Faculty of Economics, University of Josip Juraj Strossmayer in Osijek
Ivana Đurđević ; Faculty of Teacher Education, University of Josip Juraj Strossmayer in Osijek

Puni tekst: engleski, pdf (862 KB) str. 10-41 preuzimanja: 340* citiraj
APA 6th Edition
Pavleković, M., Zekić-Sušac, M. i Đurđević, I. (2011). A NEURAL NETWORK MODEL FOR PREDICTING CHILDREN’S MATHEMATICAL GIFT. Croatian Journal of Education, 13 (1), 10-41. Preuzeto s https://hrcak.srce.hr/72414
MLA 8th Edition
Pavleković, Margita, et al. "A NEURAL NETWORK MODEL FOR PREDICTING CHILDREN’S MATHEMATICAL GIFT." Croatian Journal of Education, vol. 13, br. 1, 2011, str. 10-41. https://hrcak.srce.hr/72414. Citirano 22.10.2020.
Chicago 17th Edition
Pavleković, Margita, Marijana Zekić-Sušac i Ivana Đurđević. "A NEURAL NETWORK MODEL FOR PREDICTING CHILDREN’S MATHEMATICAL GIFT." Croatian Journal of Education 13, br. 1 (2011): 10-41. https://hrcak.srce.hr/72414
Harvard
Pavleković, M., Zekić-Sušac, M., i Đurđević, I. (2011). 'A NEURAL NETWORK MODEL FOR PREDICTING CHILDREN’S MATHEMATICAL GIFT', Croatian Journal of Education, 13(1), str. 10-41. Preuzeto s: https://hrcak.srce.hr/72414 (Datum pristupa: 22.10.2020.)
Vancouver
Pavleković M, Zekić-Sušac M, Đurđević I. A NEURAL NETWORK MODEL FOR PREDICTING CHILDREN’S MATHEMATICAL GIFT. Croatian Journal of Education [Internet]. 2011 [pristupljeno 22.10.2020.];13(1):10-41. Dostupno na: https://hrcak.srce.hr/72414
IEEE
M. Pavleković, M. Zekić-Sušac i I. Đurđević, "A NEURAL NETWORK MODEL FOR PREDICTING CHILDREN’S MATHEMATICAL GIFT", Croatian Journal of Education, vol.13, br. 1, str. 10-41, 2011. [Online]. Dostupno na: https://hrcak.srce.hr/72414. [Citirano: 22.10.2020.]
Puni tekst: hrvatski, pdf (862 KB) str. 10-41 preuzimanja: 483* citiraj
APA 6th Edition
Pavleković, M., Zekić-Sušac, M. i Đurđević, I. (2011). MODEL NEURONSKIH MREŽA ZA PREDVIĐANJE MATEMATIČKE DAROVITOSTI U DJECE. Croatian Journal of Education, 13 (1), 10-41. Preuzeto s https://hrcak.srce.hr/72414
MLA 8th Edition
Pavleković, Margita, et al. "MODEL NEURONSKIH MREŽA ZA PREDVIĐANJE MATEMATIČKE DAROVITOSTI U DJECE." Croatian Journal of Education, vol. 13, br. 1, 2011, str. 10-41. https://hrcak.srce.hr/72414. Citirano 22.10.2020.
Chicago 17th Edition
Pavleković, Margita, Marijana Zekić-Sušac i Ivana Đurđević. "MODEL NEURONSKIH MREŽA ZA PREDVIĐANJE MATEMATIČKE DAROVITOSTI U DJECE." Croatian Journal of Education 13, br. 1 (2011): 10-41. https://hrcak.srce.hr/72414
Harvard
Pavleković, M., Zekić-Sušac, M., i Đurđević, I. (2011). 'MODEL NEURONSKIH MREŽA ZA PREDVIĐANJE MATEMATIČKE DAROVITOSTI U DJECE', Croatian Journal of Education, 13(1), str. 10-41. Preuzeto s: https://hrcak.srce.hr/72414 (Datum pristupa: 22.10.2020.)
Vancouver
Pavleković M, Zekić-Sušac M, Đurđević I. MODEL NEURONSKIH MREŽA ZA PREDVIĐANJE MATEMATIČKE DAROVITOSTI U DJECE. Croatian Journal of Education [Internet]. 2011 [pristupljeno 22.10.2020.];13(1):10-41. Dostupno na: https://hrcak.srce.hr/72414
IEEE
M. Pavleković, M. Zekić-Sušac i I. Đurđević, "MODEL NEURONSKIH MREŽA ZA PREDVIĐANJE MATEMATIČKE DAROVITOSTI U DJECE", Croatian Journal of Education, vol.13, br. 1, str. 10-41, 2011. [Online]. Dostupno na: https://hrcak.srce.hr/72414. [Citirano: 22.10.2020.]

Sažetak
The aim of this paper was to model a neural network capable of detecting mathematically gifted fourth-grade elementary school pupils. The input space consisted of variables describing the five basic components of a child's mathematical gift identified in the body of previous research. The scientifically confirmed psychological evaluation of gift based on Raven's standard progressive matrices was used at the output. Three neural network models were tested on a Croatian dataset: multilayer perceptron, radial basis, and probabilistic network. The models' performances were measured

according to the average hit rate obtained on the test sample. According to the results, the highest accuracy is produced by the radial basis neural network, which correctly recognizes all gifted children. Such high classification accuracy shows that neural networks have the potential to serve as an effective intelligent decision support tool able to assist teachers in detecting mathematically gifted children. This can be particularly useful in schools in which there is a shortage of psychologists

Hrčak ID: 72414

URI
https://hrcak.srce.hr/72414

[hrvatski]

Posjeta: 1.475 *