Analysis of Numeracy Literacy Abilities in Solving Minimum Competency Assessment Tasks Based On Students' Cognitive Styles

This study aims to analyze students' numeracy literacy skills in solving Minimum Competency Assessment (AKM) problems based on their cognitive styles, focusing on reflective and impulsive cognitive styles. The research employs a qualitative descriptive method, enabling an in-depth exploration of students' numeracy literacy abilities at MTs Negeri 01 Pontianak. Data collection techniques include AKM tests, the Matching Familiar Figure Test (MFFT), and interviews. The findings indicate that a reflective cognitive style significantly influences students' ability to solve AKM problems. Students with high numeracy literacy skills meet all numeracy literacy indicators. Meanwhile, students with moderate numeracy literacy skills fail to meet one indicator, namely interpreting. Students with low numeracy literacy skills can only fulfill one indicator, namely formulating. On the other hand, the impulsive cognitive style also affects how students approach AKM problems. Students with high numeracy literacy skills fulfill all numeracy literacy indicators. In contrast, students with moderate numeracy literacy skills meet only one indicator, namely applying. Students with low numeracy literacy skills fail to meet any of the indicators. This research highlights the importance of developing learning strategies that consider students' cognitive styles to enhance their numeracy literacy skills.

Authors

Publication Details

Journal
Riemann Research of Mathematics and Mathematics Education
Published
2025-04-25
DOI
https://doi.org/10.38114/reimann.v7i1.84
Primary Topic
Cognitive and developmental aspects of mathematical skills
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Numeracy Literacy Abilities in Solving Minimum Competency Assessment Tasks Based On Students' Cognitive Styles

Wandra Irvandi, Iwit Prihatin, Diah Tri Muharini Muharini
Riemann Research of Mathematics and Mathematics Education
Cognitive and developmental aspects of mathematical skills
article

Analysis of Numeracy Literacy Abilities in Solving Minimum Competency Assessment Tasks Based On Students' Cognitive Styles

Wandra Irvandi, Iwit Prihatin, Diah Tri Muharini Muharini
article en

Abstract

This study aims to analyze students' numeracy literacy skills in solving Minimum Competency Assessment (AKM) problems based on their cognitive styles, focusing on reflective and impulsive cognitive styles. The research employs a qualitative descriptive method, enabling an in-depth exploration of students' numeracy literacy abilities at MTs Negeri 01 Pontianak. Data collection techniques include AKM tests, the Matching Familiar Figure Test (MFFT), and interviews. The findings indicate that a reflective cognitive style significantly influences students' ability to solve AKM problems. Students with high numeracy literacy skills meet all numeracy literacy indicators. Meanwhile, students with moderate numeracy literacy skills fail to meet one indicator, namely interpreting. Students with low numeracy literacy skills can only fulfill one indicator, namely formulating. On the other hand, the impulsive cognitive style also affects how students approach AKM problems. Students with high numeracy literacy skills fulfill all numeracy literacy indicators. In contrast, students with moderate numeracy literacy skills meet only one indicator, namely applying. Students with low numeracy literacy skills fail to meet any of the indicators. This research highlights the importance of developing learning strategies that consider students' cognitive styles to enhance their numeracy literacy skills.

Riemann Research of Mathematics and Mathematics EducationVol. 7(1)
Openalex Percentile: Top 91%
Cognitive and developmental aspects of mathematical skills
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.