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Download full textToprak, Emre; Gelbal, Selahattin – International Journal of Assessment Tools in Education, 2020
This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…
Descriptors: Comparative Analysis, Classification, Artificial Intelligence, Networks
Direct linkShi, Wei-Zhao; He, Xiqin; Wang, Yan; Fan, Zeng-Guang; Guo, Liangdong – EURASIA Journal of Mathematics, Science & Technology Education, 2016
In 2015, PISA and TIMSS are coming up to us together. In this study, the data from PISA and TIMSS are used to investigate that which one is a better indicator of national science and technology (S&T) competitiveness? Number of S & T journal articles (per million people) is used as a measure to represent the national S&T…
Descriptors: International Assessment, Achievement Tests, Secondary School Students, Foreign Countries
Cornoldi, Cesare; Giofre, David; Martini, Angela – Intelligence, 2013
Recent results of international assessment programs (e.g., PISA) have shown a large difference in high school students' performance between northern and southern Italy. On this basis, it has been argued that the discrepancy reflects differences in average intelligence of the inhabitants of regions and is associated with genetic factors ( and ).…
Descriptors: Intelligence, Age Differences, Foreign Countries, Inferences
