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Hikmet Sevgin – International Journal of Assessment Tools in Education, 2023
This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABIDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods…
Descriptors: Algorithms, Mathematics Education, Classification, Mathematics Achievement
I Made Suarsana; Al Jupri; Didi Suryadi; Elah Nurlaelah; I Gusti Nyoman Yudi Hartawan – Mathematics Teaching Research Journal, 2025
Mathematical and computational thinking (CT) are closely interrelated, yet CT integration into mathematics instruction remains limited. This study aims to analyze the effectiveness of the teaching process for straight-line equations in enhancing students' CT skills and to propose improvements based on the findings. A qualitative case study…
Descriptors: Mathematics Instruction, Teaching Methods, Learning Processes, Instructional Design
Foong, Yoke-Yeen; Lam, Tit-Loong – 1991
The graded response model for two-stage testing was applied to an attitudes toward science scale using real-data simulation. The 48-item scale was administered to 920 students at a grade-8 equivalent in Singapore. A two-stage 16-item computerized adaptive test was developed. In two-stage testing an initial, or routing, test is followed by a…
Descriptors: Adaptive Testing, Algorithms, Attitude Measures, Computer Assisted Testing