2012 ©
             Publication
Journal Publication
Research Title Utilizing Decision Tree Analysis for Optimizing Test Item Selection in the Development of Mathematical Procedures in Measurements and Geometry 
Date of Distribution 22 August 2024 
Conference
     Title of the Conference The 39th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC2024) 
     Organiser International Technical Conference on Circuits/Systems, Computers, and Communications 
     Conference Place Institute of Science and Technology Graduate University (OIST) in Okinawa, Japan. 
     Province/State Okinawa, Japan. 
     Conference Date 2 July 2024 
     To 5 July 2024 
Proceeding Paper
     Volume 39 
     Issue
     Page
     Editors/edition/publisher IEEE 
     Abstract This study investigates the application of Decision Tree analysis to optimize test item selection in the development of mathematical procedures, particularly in the domains of Measurement and Geometry. Employing Machine Learning techniques, the research focuses on assessing the mathematical proficiency of seventh-grade students. A predictive model is constructed and assessed using a dataset comprising responses from 528 students, with analysis conducted using Decision Trees with a depth of three layers. Utilizing Python via Google Colaboratory, the study evaluates three test formats-essay, multiple-choice, and hybrid on Precision, Recall, F-measure, Accuracy, and Error metrics. Findings highlight the superior efficacy of the essay format, achieving an accuracy of 0.77 and an error rate of 0.56, meeting established criteria. Conversely, the multiple-choice format demonstrates comparatively lower effectiveness, with an accuracy of 0.62 and an error rate of 0.74. These results underscore the significance of employing Decision Tree Analysis for informed test item selection, particularly favoring subjective formats in optimizing mathematical proficiency assessments within measurements and geometry. 
Author
645050250-1 Miss NATCHAYA PANPHET [Main Author]
Education Master's Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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