TITLE:
The Evaluation of Child Capacity by Machine Learning According to the Region
AUTHORS:
Jamyandorj Narantuya, Tsend Ganbat
KEYWORDS:
Data Mining, Machine Learning, Clustering HCPC, R Programming
JOURNAL NAME:
Journal of Computer and Communications,
Vol.10 No.6,
June
30,
2022
ABSTRACT: Mongolian territory is 1.5 million square kilometers, there are 1.439 kindergartens that include 263.333 children. Mongolia has 5 regional zones. The research was made on selected provinces such as Sukhbaatar district from Ulaanbaatar region, Huvsgul aimag from Khangai region, Umnugobi from Central region, Dornod aimag from Eastern region and Bayan-Ulgii from Western region. Total 450 preschool children at age of 3 - 5 years old (30 children at every 3, 4 and 5 years old) were selected randomly, they performed 5 tasks of Math according to the curriculum. The classification of age, sex and region was made under cluster analyses of children’s mathematical ability using research method. The purpose of the research is classification of province zone, determination of inequality and difference between rural and urban areas. It is made support for developer’s policy and decision makers of education under the base of financing and sharing kindergarten budget, specialization, retraining of teachers and children, developing, elaboration and planning curriculum.