Learning Independence as a Key to Mathematical Connections in Sequences and Series

The ability to make mathematical connections is a critical skill that enables students to relate various mathematical concepts and apply them in diverse contexts. However, many students continue to struggle with this skill, indicating a significant gap in mathematical understanding. This study aims to describe students’ mathematical connection ability through the lens of learning independence—an intersection that has received limited scholarly attention. Employing a qualitative descriptive method, the research involved 25 tenth-grade students, from whom six were selected based on stratified levels of mathematical connection ability (high, middle, and low). Data were collected through a written test focused on arithmetic sequences and series, guided by indicators of mathematical connection adopted from the national high school mathematics textbook. Complementary interviews were conducted to assess aspects of learning independence. The findings reveal that students with high learning independence demonstrated stronger mathematical connection ability, while those in the middle and low categories showed frequent conceptual errors and imprecise reasoning. The novelty of this study lies in its integrated analysis of cognitive and affective dimensions, offering new insights into how learning independence supports mathematical understanding.

Authors

Institutions

Publication Details

Journal
AlphaMath Journal of Mathematics Education
Published
2025-05-15
DOI
https://doi.org/10.30595/alphamath.v11i1.26290
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Learning Independence as a Key to Mathematical Connections in Sequences and Series

Reza Maulana, Dori Lukman Hakim
AlphaMath Journal of Mathematics Education
Neural Networks and Applications
article

Learning Independence as a Key to Mathematical Connections in Sequences and Series

Reza Maulana, Dori Lukman Hakim
article en

Abstract

The ability to make mathematical connections is a critical skill that enables students to relate various mathematical concepts and apply them in diverse contexts. However, many students continue to struggle with this skill, indicating a significant gap in mathematical understanding. This study aims to describe students’ mathematical connection ability through the lens of learning independence—an intersection that has received limited scholarly attention. Employing a qualitative descriptive method, the research involved 25 tenth-grade students, from whom six were selected based on stratified levels of mathematical connection ability (high, middle, and low). Data were collected through a written test focused on arithmetic sequences and series, guided by indicators of mathematical connection adopted from the national high school mathematics textbook. Complementary interviews were conducted to assess aspects of learning independence. The findings reveal that students with high learning independence demonstrated stronger mathematical connection ability, while those in the middle and low categories showed frequent conceptual errors and imprecise reasoning. The novelty of this study lies in its integrated analysis of cognitive and affective dimensions, offering new insights into how learning independence supports mathematical understanding.

AlphaMath Journal of Mathematics Education
University of Singaperbangsa Karawang (ID)
Openalex Percentile: Top 94%
Neural Networks and Applications
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.

Learning Independence as a Key to Mathematical Connections in Sequences and Series — Reza Maulana, Dori Lukman Hakim · AlphaMath Journal of Mathematics Education (2025) | TGRS Research Map | TGRS