Improving General Mathematics Instructional Competency: Identifying & Addressing Conceptual Difficulties with the Rasch Model

This research investigates the use of the Rasch Model to identify and address conceptual difficulties in General Mathematics instruction. A descriptive approach was employed to analyze a 50-item multiple-choice General Mathematics test administered to 40 Grade 11 students. The test covered nine competencies from the SHS General Mathematics curriculum and assessed cognitive levels from remembering to evaluating. The Rasch Model analysis revealed significant insights into student performance and item characteristics. The person reliability score of 0.839 or 83.9% indicated strong measurement accuracy, suggesting the test effectively differentiates students' mathematical abilities. However, the MADaQ3 value of 0.161 indicated a relatively low level of item fit, suggesting that some items might not align with the overall pattern of student abilities and item difficulties. Further analysis revealed a wide range of item difficulties, with a significant majority classified as not too easy, not too hard. This highlights the need for targeted interventions to address specific areas of conceptual difficulty. The study identified specific items that were particularly challenging for students, providing valuable information for curriculum development and instructional strategies. The findings suggest that the Rasch Model is a valuable tool for identifying and addressing conceptual difficulties in mathematics instruction. By pinpointing specific areas of challenge, educators can develop targeted interventions to improve student understanding and overall instructional effectiveness.

Authors

Institutions

Publication Details

Published
2025-04-26
DOI
https://doi.org/10.1109/ic4e65071.2025.11075341
Primary Topic
Education Practices and Evaluation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving General Mathematics Instructional Competency: Identifying & Addressing Conceptual Difficulties with the Rasch Model

Eubert R. Tagupa, Neil Cris B. Pasok
Education Practices and Evaluation
article

Improving General Mathematics Instructional Competency: Identifying & Addressing Conceptual Difficulties with the Rasch Model

Eubert R. Tagupa, Neil Cris B. Pasok
article en

Abstract

This research investigates the use of the Rasch Model to identify and address conceptual difficulties in General Mathematics instruction. A descriptive approach was employed to analyze a 50-item multiple-choice General Mathematics test administered to 40 Grade 11 students. The test covered nine competencies from the SHS General Mathematics curriculum and assessed cognitive levels from remembering to evaluating. The Rasch Model analysis revealed significant insights into student performance and item characteristics. The person reliability score of 0.839 or 83.9% indicated strong measurement accuracy, suggesting the test effectively differentiates students' mathematical abilities. However, the MADaQ3 value of 0.161 indicated a relatively low level of item fit, suggesting that some items might not align with the overall pattern of student abilities and item difficulties. Further analysis revealed a wide range of item difficulties, with a significant majority classified as not too easy, not too hard. This highlights the need for targeted interventions to address specific areas of conceptual difficulty. The study identified specific items that were particularly challenging for students, providing valuable information for curriculum development and instructional strategies. The findings suggest that the Rasch Model is a valuable tool for identifying and addressing conceptual difficulties in mathematics instruction. By pinpointing specific areas of challenge, educators can develop targeted interventions to improve student understanding and overall instructional effectiveness.

Caraga State University (PH), Father Saturnino Urios University (PH)
Quality Education
Openalex Percentile: Top 81%
Education Practices and Evaluation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.