ULearnEnglish: An Open Ubiquitous System for Assisting in Learning English Vocabulary release_kxd6hkji2napfkpnjvgzx4djxq

by Letícia Garcia da Silva, Eduardo Gonçalves de Azevedo Neto, Rosemary Francisco, Jorge Barbosa, Luis Silva, Valderi Reis Quietinho Leithardt

Published in Electronics by MDPI AG.

2021   Volume 10, Issue 14, p1692

Abstract

Language learners often face communication problems when they need to express themselves and do not have the ability to do so. On the other hand, continuous advances in technology are creating new opportunities to improve second language (L2) acquisition through context-aware ubiquitous learning (CAUL) technology. Since vocabulary is the foundation of all language acquisition, this article presents ULearnEnglish, an open-source system to allow ubiquitous English learning focused on incidental vocabulary acquisition. To evaluate our proposal, 15 learners used the developed system, and 10 answered a survey based on the Technology Acceptance Model (TAM). Results indicate a favorable response to the application of incidental learning techniques in combination with the learner context. ULearnEnglish achieved an acceptance rate of 78.66% for the perception of utility, 96% for the perception of ease of use, 86.5% for user context assessment, and 88% for ubiquity. Among its main contributions, this study demonstrates a possible tool for ubiquitous use in the future in language learning; additionally, further studies can use the available resources to develop the system.
In application/xml+jats format

Archived Files and Locations

application/pdf  1.1 MB
file_yzzxncflcfdshn3p4zklcommny
res.mdpi.com (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2021-07-15
Language   en ?
Container Metadata
Open Access Publication
In DOAJ
In ISSN ROAD
In Keepers Registry
ISSN-L:  2079-9292
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: fb98db99-6132-4fcc-83f4-5f4b710da4b7
API URL: JSON