The Impact of Learning Strategies on English Proficiency: Insights from UNM English Department Students

This study aimed to explore the most commonly used language learning strategies among English department students at Universitas Negeri Makassar (UNM), assess their proficiency level based on TOEFL scores, and examine the relationship between their learning strategies and proficiency level. A correlational research design was applied, involving fourth-semester students from three study programs: English Education, English Literature, and Business English. The participants were selected through accidental sampling, focusing on students who took the TOEFL test provided by the English department's Centre for Language Services (CLS). Data collection was conducted using the SILL questionnaire and TOEFL score documentation, and analysis was performed through descriptive and inferential statistics using SPSS. The findings revealed that metacognitive and social strategies were the most frequently used language learning strategies, falling within the high usage category. In terms of proficiency, students were classified at the basic user level based on their TOEFL scores. Additionally, the study found no significant correlation between students’ language learning strategies and their proficiency level, as the statistical analysis results indicated no meaningful association between the two variables.

Authors

Institutions

Publication Details

Journal
EDULEC Education Language and Culture Journal
Published
2025-04-06
DOI
https://doi.org/10.56314/edulec.v5i1.287
Primary Topic
Second Language Learning and Teaching
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Learning Strategies on English Proficiency: Insights from UNM English Department Students

Wahyuddin Rauf, Ahmed Imran, Ahmad Fadhil Imran, Afif Zuhdy Idham
EDULEC Education Language and Culture Journal
Second Language Learning and Teaching
article

The Impact of Learning Strategies on English Proficiency: Insights from UNM English Department Students

Wahyuddin Rauf, Ahmed Imran, Ahmad Fadhil Imran, Afif Zuhdy Idham
article en

Abstract

This study aimed to explore the most commonly used language learning strategies among English department students at Universitas Negeri Makassar (UNM), assess their proficiency level based on TOEFL scores, and examine the relationship between their learning strategies and proficiency level. A correlational research design was applied, involving fourth-semester students from three study programs: English Education, English Literature, and Business English. The participants were selected through accidental sampling, focusing on students who took the TOEFL test provided by the English department's Centre for Language Services (CLS). Data collection was conducted using the SILL questionnaire and TOEFL score documentation, and analysis was performed through descriptive and inferential statistics using SPSS. The findings revealed that metacognitive and social strategies were the most frequently used language learning strategies, falling within the high usage category. In terms of proficiency, students were classified at the basic user level based on their TOEFL scores. Additionally, the study found no significant correlation between students’ language learning strategies and their proficiency level, as the statistical analysis results indicated no meaningful association between the two variables.

EDULEC Education Language and Culture JournalVol. 5(1)
State University of Makassar (ID)
Openalex Percentile: Top 92%
Second Language Learning and Teaching
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.