Evaluating the Efficacy of Translanguaging Approach for Language Learning through K-Means Clustering Analysis

This study examines the implementation of translanguaging in language-integrated learning classrooms, focusing on 134 students in India who speak Tamil, Telugu, Urdu, Malayalam, and Hindi. Using ethnographic methods, conversation analysis, surveys, and K-means clustering techniques, the findings highlight the importance of translanguaging in addressing students' learning needs and enhancing their engagement and comprehension. The teacher created a co-learning environment by incorporating translanguaging shifts, allowing students to co-develop projects in English and bilingual versions. This approach not only facilitated content learning but also affirmed students' identities. The teacher's stance on translanguaging emphasized collaboration among educators to ensure successful implementation. The integration of native languages into English instruction enabled code-switching and multilingual interactions. While some students preferred traditional methods, most appreciated the acknowledgment of their linguistic backgrounds, suggesting that translanguaging fosters inclusive and effective language education. The study offers practical recommendations for educators and highlights the broader implications for multilingual education. The positive response to translanguaging underscores its potential to leverage students' linguistic resources, enhance learning outcomes, and enrich educational experiences globally.

Authors

Publication Details

Journal
Indian Journal of Information Sources and Services
Published
2024-09-30
DOI
https://doi.org/10.51983/ijiss-2024.14.3.30
Citations
5
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
3.90
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Efficacy of Translanguaging Approach for Language Learning through K-Means Clustering Analysis

Micheal Raj, Raya Ali
5 citations
Indian Journal of Information Sources and Services
Educational Technology and Assessment
3.90
article

Evaluating the Efficacy of Translanguaging Approach for Language Learning through K-Means Clustering Analysis

Micheal Raj, Raya Ali
article en
5 citations

Abstract

This study examines the implementation of translanguaging in language-integrated learning classrooms, focusing on 134 students in India who speak Tamil, Telugu, Urdu, Malayalam, and Hindi. Using ethnographic methods, conversation analysis, surveys, and K-means clustering techniques, the findings highlight the importance of translanguaging in addressing students' learning needs and enhancing their engagement and comprehension. The teacher created a co-learning environment by incorporating translanguaging shifts, allowing students to co-develop projects in English and bilingual versions. This approach not only facilitated content learning but also affirmed students' identities. The teacher's stance on translanguaging emphasized collaboration among educators to ensure successful implementation. The integration of native languages into English instruction enabled code-switching and multilingual interactions. While some students preferred traditional methods, most appreciated the acknowledgment of their linguistic backgrounds, suggesting that translanguaging fosters inclusive and effective language education. The study offers practical recommendations for educators and highlights the broader implications for multilingual education. The positive response to translanguaging underscores its potential to leverage students' linguistic resources, enhance learning outcomes, and enrich educational experiences globally.

Indian Journal of Information Sources and ServicesVol. 14(3)
Quality Education
Openalex Percentile: Top 6%
Educational Technology and Assessment
3.90
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.