How does mobile learning support second language learning  Evidence from CSL learners turn construction in online communication

WANG, CONG; Huang, Fangwei; Sun, Daner; Zhang, Haijing

doi:10.1504/ijmlo.2024.10055036

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“…The introduction of Google's Neural Machine Translation (GNMT) in 2016 significantly improved GT's translation quality, reducing errors by 60% compared to its predecessor and Phrase-Based Machine Translation (PBMT) (Andari, Sofyan, & Yusuf, 2022). GT offers features beneficial for language learning such as instant translation pronunciation aid, access to authentic materials, grammar and syntax comparison, real-time conversation translation, image translation and offline translation capabilities despite its limitations such as occasional inaccuracies and a lack of contextual understanding (Ammade, Ramadhani, & Rahman, 2023;Wang, Huang, Sun, & Zhang, 2023).…”

Section: Powering Mt Systems With Ai Technology: Google Translate As ...mentioning

confidence: 99%

The use and abuse of artificial intelligence-enabled machine translation in the EFL classroom: An exploratory study

Alharbi

2023

JEELR

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The integration of machine translation (MT) and artificial intelligence (AI) has significantly enhanced the precision of MT systems producing translations that rival the quality of skilled human translators. This innovation has broadened the applicability of AI-enabled MT systems attracting users for a variety of purposes. This paper explores the following areas: the application of AI-enabled MT, specifically Google Translate (GT) in English as a Foreign Language (EFL) classroom. Empirical findings and recent research indicate that students are increasingly reliant on MT particularly in higher educational settings where English is not their first language. The purpose of this research is to provide insight on the practices, beliefs and goals of EFL learners who use GT in the classroom. Data was gathered from 234 university students through a questionnaire along with pre- and post-tests to compare the quality of writing drafts created with and without the aid of GT. The findings are consistent with those of previous research conducted worldwide highlighting the immense potential of AI-enabled MT in not only boosting students' learning experiences but also cultivating more independent learners. The study also indicates that students have positive attitudes towards GT and employ diverse search strategies to address various language-related challenges.

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Section: Powering Mt Systems With Ai Technology: Google Translate As ...mentioning

confidence: 99%

The use and abuse of artificial intelligence-enabled machine translation in the EFL classroom: An exploratory study

Alharbi

2023

JEELR

View full text Add to dashboard Cite

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How does mobile learning support second language learning Evidence from CSL learners turn construction in online communication

Cited by 1 publication

References 0 publications

The use and abuse of artificial intelligence-enabled machine translation in the EFL classroom: An exploratory study

The use and abuse of artificial intelligence-enabled machine translation in the EFL classroom: An exploratory study

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How does mobile learning support second language learning Evidence from CSL learners turn construction in online communication

Cited by 1 publication

References 0 publications

The use and abuse of artificial intelligence-enabled machine translation in the EFL classroom: An exploratory study

The use and abuse of artificial intelligence-enabled machine translation in the EFL classroom: An exploratory study

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How does mobile learning support second language learning Evidence from CSL learners turn construction in online communication