GamiLab வளயடடச சயல வழ படவம நனக மணவரககக கறறயலகரம கறபததல / Teaching 'Kutriyalugaram' Grammar for Form Four Students Using GamiLab Online Game App

Kutriyalugaram serves as the sole orthographic grammar component for Form four students in Malaysian Tamil language education. It presents significant comprehension challenges for learners. Traditional pedagogical approaches often generate student boredom and academic stress. There is a need for necessitating innovative technology-based gamification methodologies to enhance learning outcomes. This qualitative research investigates the implementation of 'GamiLab', a gamification application, to teach the grammar of “Kutriyalugaram” through game-based learning approaches. The application features a cycling game format titled 'Let's Learn Kutriyalugaram' by incorporating puzzle-based questions to facilitate interactive learning experiences for the learners. Through this gamified platform, students acquire motivational elements including points, achievement levels, stars and badges to foster enhanced engagement in the learning process. Educators receive comprehensive assessment data to evaluate student performance and achievement levels effectively. In the contemporary educational setting online learning environments, such gamification strategies can augment student motivation and facilitate benefic academic outcomes. This study demonstrates the critical importance of technological innovation in Tamil grammar instruction and highlights the potential role of digital gamification tools to transform traditional language learning methodologies and improve pedagogical effectiveness in Malaysian Tamil education contexts.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-15
DOI
https://doi.org/10.5281/zenodo.16600220
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GamiLab வளயடடச சயல வழ படவம நனக மணவரககக கறறயலகரம கறபததல / Teaching 'Kutriyalugaram' Grammar for Form Four Students Using GamiLab Online Game App

Zenodo (CERN European Organization for Nuclear Research)
Educational Games and Gamification
article

GamiLab வளயடடச சயல வழ படவம நனக மணவரககக கறறயலகரம கறபததல / Teaching 'Kutriyalugaram' Grammar for Form Four Students Using GamiLab Online Game App

article en

Abstract

Kutriyalugaram serves as the sole orthographic grammar component for Form four students in Malaysian Tamil language education. It presents significant comprehension challenges for learners. Traditional pedagogical approaches often generate student boredom and academic stress. There is a need for necessitating innovative technology-based gamification methodologies to enhance learning outcomes. This qualitative research investigates the implementation of 'GamiLab', a gamification application, to teach the grammar of “Kutriyalugaram” through game-based learning approaches. The application features a cycling game format titled 'Let's Learn Kutriyalugaram' by incorporating puzzle-based questions to facilitate interactive learning experiences for the learners. Through this gamified platform, students acquire motivational elements including points, achievement levels, stars and badges to foster enhanced engagement in the learning process. Educators receive comprehensive assessment data to evaluate student performance and achievement levels effectively. In the contemporary educational setting online learning environments, such gamification strategies can augment student motivation and facilitate benefic academic outcomes. This study demonstrates the critical importance of technological innovation in Tamil grammar instruction and highlights the potential role of digital gamification tools to transform traditional language learning methodologies and improve pedagogical effectiveness in Malaysian Tamil education contexts.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 51%
Educational Games and Gamification
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.