Primary Students’ Comprehension Errors in Translating Math Problems

Comprehension is the foundation of problem-solving; without proper understanding, students will struggle to solve problems correctly. This research aims to identify specific types of mathematical comprehension errors in primary school students based on indicators from Newman's theory. By using Newman's error analysis framework, the study gives a detailed, step-by-step look at how students lose comprehension. This research was conducted using a descriptive qualitative method with three third-grade students as subjects, selected based on their level of mathematical ability (high, medium, low) determined through a diagnostic test. The results of the data analysis show that across the three student ability levels analyzed, the data revealed distinct patterns in the types of comprehension breakdowns encountered. High-performing students demonstrated minimal comprehension errors, successfully identifying key information. In contrast, mid-level students exhibited more significant issues linking the available information. The lowest-performing students showed the most fundamental misunderstandings, incorrectly identifying basic facts. These findings imply the need for a teaching approach that emphasizes contextual understanding and the development of mathematical literacy in comprehending story-based problems. Integrating evidence-based methods like problem-based learning, which have been shown to improve mathematical literacy in primary students, could help address the comprehension challenges observed in this study.

Authors

Institutions

Publication Details

Journal
EDUMATICA | Jurnal Pendidikan Matematika
Published
2024-12-31
DOI
https://doi.org/10.22437/edumatica.v14i3.38814
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Primary Students’ Comprehension Errors in Translating Math Problems

Slamet Arifin, Ratna Ekawati, Davina Aurelia
EDUMATICA | Jurnal Pendidikan Matematika
Technology-Enhanced Education Studies
article

Primary Students’ Comprehension Errors in Translating Math Problems

Slamet Arifin, Ratna Ekawati, Davina Aurelia
article en

Abstract

Comprehension is the foundation of problem-solving; without proper understanding, students will struggle to solve problems correctly. This research aims to identify specific types of mathematical comprehension errors in primary school students based on indicators from Newman's theory. By using Newman's error analysis framework, the study gives a detailed, step-by-step look at how students lose comprehension. This research was conducted using a descriptive qualitative method with three third-grade students as subjects, selected based on their level of mathematical ability (high, medium, low) determined through a diagnostic test. The results of the data analysis show that across the three student ability levels analyzed, the data revealed distinct patterns in the types of comprehension breakdowns encountered. High-performing students demonstrated minimal comprehension errors, successfully identifying key information. In contrast, mid-level students exhibited more significant issues linking the available information. The lowest-performing students showed the most fundamental misunderstandings, incorrectly identifying basic facts. These findings imply the need for a teaching approach that emphasizes contextual understanding and the development of mathematical literacy in comprehending story-based problems. Integrating evidence-based methods like problem-based learning, which have been shown to improve mathematical literacy in primary students, could help address the comprehension challenges observed in this study.

EDUMATICA | Jurnal Pendidikan MatematikaVol. 14(3)
State University of Malang (ID)
Quality Education
Openalex Percentile: Top 64%
Technology-Enhanced Education Studies
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.