Empirical analysis of language learning strategies for optimizing online language courses

<span>In today’s changing education world, online language classes are becoming more important. Recognizing the important role of the relationship between language learning strategies and students’ preferences, our empirical study examines the patterns or factors that explain the observed correlations among variables to provide insights in optimizing online language courses. Addressing a critical gap in the existing literature that has traditionally treated language learning strategies and online language education as distinct entities, our survey-based research collected comprehensive data from students enrolled in online language courses. Focused on six key language learning strategies: memory, cognitive, compensation, metacognitive, affective, and social. The research <span>shows a delicate connection between these strategies and students’ preferences in online teaching mode. The empirical findings provide insights into certain strategies that work better for specific online learning methods. This helps us grasp the varied preferences of groups of students. This research enriches online language education by revealing an unexplored connection between strategies and preferences and provides a valuable resource for educators and course designers. The information given helps make online language classes better. It ensures that students learn languages more effectively online, considering</span> their functional and practical needs in online learning.</span>

Authors

Institutions

Publication Details

Journal
International Journal of Evaluation and Research in Education (IJERE)
Published
2024-09-20
DOI
https://doi.org/10.11591/ijere.v13i6.29418
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Empirical analysis of language learning strategies for optimizing online language courses

Cheong Kar Mee, Sazilah Salam, Uning Lestari, Siti Nurul Mahfuzah Mohamad et al.
International Journal of Evaluation and Research in Education (IJERE)
Technology-Enhanced Education Studies
article

Empirical analysis of language learning strategies for optimizing online language courses

Cheong Kar Mee, Sazilah Salam, Uning Lestari, Siti Nurul Mahfuzah Mohamad, Azizul Mohd Yusoff, Rashidah Lip, Siti Feirusz Ahmad Fesol, Nurmaisarah Ismail, Tan Poh Ee
article en

Abstract

<span>In today’s changing education world, online language classes are becoming more important. Recognizing the important role of the relationship between language learning strategies and students’ preferences, our empirical study examines the patterns or factors that explain the observed correlations among variables to provide insights in optimizing online language courses. Addressing a critical gap in the existing literature that has traditionally treated language learning strategies and online language education as distinct entities, our survey-based research collected comprehensive data from students enrolled in online language courses. Focused on six key language learning strategies: memory, cognitive, compensation, metacognitive, affective, and social. The research <span>shows a delicate connection between these strategies and students’ preferences in online teaching mode. The empirical findings provide insights into certain strategies that work better for specific online learning methods. This helps us grasp the varied preferences of groups of students. This research enriches online language education by revealing an unexplored connection between strategies and preferences and provides a valuable resource for educators and course designers. The information given helps make online language classes better. It ensures that students learn languages more effectively online, considering</span> their functional and practical needs in online learning.</span>

International Journal of Evaluation and Research in Education (IJERE)Vol. 13(6)
Technical University of Malaysia Malacca (MY), Institut Sains & Teknologi Akprind Yogyakarta (ID), Universiti Teknologi MARA (MY)
Universiti Teknikal Malaysia Melaka
Quality Education
Openalex Percentile: Top 78%
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.