Developing and validating the construct maps to assess mathematical proficiencies

Author:

Saikang TachamapornORCID,Junpeng PutchareeORCID,Luanganggoon NuchwanaORCID,Chiajunthuk SamruanORCID,Suwannatrai PrapawadeeORCID,Marwiang MettaORCID,Tang Keow NgangORCID,Wilson MarkORCID

Abstract

The study was aimed to develop and validate a measurement test to assess mathematical proficiencies in the numbers and algebra strand. A total of 125 seventh-grade learners with diverse learning abilities from secondary educational institutions under the management of the Khon Kaen Educational Service Area 25, Thailand was chosen as respondents. The researchers employed design-based research consisting of four building blocks to construct a prototype utilizing a construct modeling approach. Firstly, the researchers developed construct maps to identify the learners’ mathematical proficiency (MP) level. This was followed by the creation of the items of measurement test according to the proficiency levels. Next, the researchers allocated scoring measures and formed the conversion of learners’ MP stages. Lastly, the researchers validated the superiority of the measurement test through Wright map consuming the multi-dimensional random coefficient multinomial logit model. The construct maps of the MP level consisted of two dimensions, namely mathematical procedures and structure of learning outcome. Findings discovered that there were 20 items in the assessment tool and its quality passed the determined education and psychological assessment criteria. It can be determined that every item is capable to measure the learners’ multi-dimensional mathematical proficiencies.

Publisher

Institute of Advanced Engineering and Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive Diagnostics for Customized Learning Pathways of Students in the Mathematical Structure of Observed Learning Outcomes: A Supervised Machine Learning Classification Algorithm;2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2024-07-02

2. Utilizing Decision Tree Analysis for Optimizing Test Item Selection in the Development of Mathematical Procedures in Measurements and Geometry;2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2024-07-02

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