ARIELLE: AR-based Independent and Experiential Language Learner on the Edge

In this work, we propose ARIELLE, an Augmented Reality (AR) hand-held touch screen learning device to enhance the English learning experience for students in rural areas with English as a Foreign Language (EFL) and promote higher literacy rates. Deployed on the edge without the need for Internet access, ARIELLE uses a Computer Vision (CV)-powered AR interface to teach users the English names of everyday objects detected in their immediate environment through a live video feed as the user walks around and provide personalized ComputerAssisted Pronunciation Training (CAPT) for those vocabulary. With these features, we hope to address two main limitations of existing AR English learning solutions: the need for Internet access and the need for supplementary educational materials respectively, thereby increasing the applicability and relevance of English learning AR tools in rural areas to close its digital divide with the urban.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/apccas62602.2024.10808687
Primary Topic
Education and Critical Thinking Development
Type
article
Field-Weighted Citation Impact
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article

ARIELLE: AR-based Independent and Experiential Language Learner on the Edge

Jeroen De Man, Lin Hong, Ellia Tio Shu Yi, Rajesh C. Panicker
Education and Critical Thinking Development
article

ARIELLE: AR-based Independent and Experiential Language Learner on the Edge

Jeroen De Man, Lin Hong, Ellia Tio Shu Yi, Rajesh C. Panicker
article en

Abstract

In this work, we propose ARIELLE, an Augmented Reality (AR) hand-held touch screen learning device to enhance the English learning experience for students in rural areas with English as a Foreign Language (EFL) and promote higher literacy rates. Deployed on the edge without the need for Internet access, ARIELLE uses a Computer Vision (CV)-powered AR interface to teach users the English names of everyday objects detected in their immediate environment through a live video feed as the user walks around and provide personalized ComputerAssisted Pronunciation Training (CAPT) for those vocabulary. With these features, we hope to address two main limitations of existing AR English learning solutions: the need for Internet access and the need for supplementary educational materials respectively, thereby increasing the applicability and relevance of English learning AR tools in rural areas to close its digital divide with the urban.

National University of Singapore (SG)
Quality Education
Openalex Percentile: Top 66%
Education and Critical Thinking Development
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ARIELLE: AR-based Independent and Experiential Language Learner on the Edge — Jeroen De Man, Lin Hong, et al. · (2024) | TGRS Research Map | TGRS