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Aksu, G., Güzeller, C. O., & Eser, M. T. (2019). The Effect of the Normalization Method Used in Different Sample Sizes on the Success of Artificial Neural Network Model. International Journal of Assessment Tools in Education, 6, 170-192.
https://doi.org/10.21449/ijate.479404

has been cited by the following article:

• TITLE: Design and Analysis of Mathematics Test Paper

  AUTHORS: Xiaomin An

  KEYWORDS: Assessment, Classical Test Theory, Item Response Theory, Mathematics Test Paper, Teaching and Learning

  JOURNAL NAME: Creative Education, Vol.16 No.8, August 19, 2025

  ABSTRACT: Assessment is an important process of improving teaching and learning quality. In this essay, the table of specifications (TOS) was designed according to the mathematics textbook of Grade 9. A math test paper was designed according to the TOS. 40 Year 9 students were selected to complete this math test paper, and classical test theory (SPSS) and item response theory (Winsteps) were used to analyze the test data. The analysis is conducted from several dimensions, such as item analysis, person analysis, and person-item map. This essay aims to identify problems in the teaching and learning process of the subject of mathematics through the design and analysis of the test paper. Then, optimize the design of the mathematics test papers to improve the teaching and learning quality.