Students' progressive behavioral learning patterns in using machine translation systems – A structural equation modeling analysis

Tsai, Pei-Shu; Liao, Hung‐Chang

doi:10.1016/j.system.2021.102594

Cited by 10 publications

(9 citation statements)

References 60 publications

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“…Furthermore, some studies adapted or extended the model by introducing other factors. For example, Tsai and Liao [44] developed an adapted TAM to understand the relationships among perceived usefulness, perceived ease of use, students' English learning motivation, and reading anxiety. Integrating students' experience in using machine translation and learning motivation, Yang and Wang [45] also developed an extended model to explore students' intention to use machine translation.…”

Section: Rq1 Who Are the Main Users Of Mt Tools?mentioning

confidence: 99%

A Systematic Review of Machine-Translation-Assisted Language Learning for Sustainable Education

Deng

2022

Sustainability

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With the rapid development of artificial intelligence, machine translation (MT) has gained popularity in recent years. This study aims to present a systematic review of literature on MT-assisted language learning in terms of main users, theoretical frameworks, users’ attitudes, and the ways in which MT tools are integrated with language teaching and learning. To this end, relevant peer-reviewed articles (n = 26) were selected through the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocol (PRISMA-P) for further analysis. The findings revealed that the main MT users were undergraduate and graduate students. Both teachers and students held mixed attitudes for different reasons. It was also found that MT integration followed four steps, i.e., introduction, demonstration, task assignment, and reflection. The procedures of MT integration could be updated and perfected by introducing other features in the future.

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Section: Rq1 Who Are the Main Users Of Mt Tools?mentioning

confidence: 99%

A Systematic Review of Machine-Translation-Assisted Language Learning for Sustainable Education

Deng

2022

Sustainability

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“…Besides, Tsai and Liao (2021) found using machine translation systems had a positive effect on lowering FLA among EFL learners in Taiwan. Bashori et al (2021) investigated the potential effects of Automatic Speech Recognition-based websites on EFL learners’ vocabulary, FLA and FLE.…”

Section: Resultsmentioning

confidence: 98%

“…Many studies ( n = 19, 38.78%) focused on the correlation of FLA with other student-specific variables, including learning motivation ( Tsai and Liao, 2021 ), willingness to communicate ( Lee and Hsieh, 2019 ; Wang H. et al, 2021 ), language proficiency ( Jiang and Dewaele, 2020 ) and trait emotional intelligence ( Resnik and Dewaele, 2020 ; Li et al, 2021 ) among many others. Several studies ( n = 5, 10.20%) focused on the correlation of FLA with teacher-specific variables, such as teachers’ oral corrective feedback ( Lee, 2016 ), perceived teacher emotional support ( Jin and Dewaele, 2018 ), and teaching styles ( Briesmaster and Briesmaster-Paredes, 2015 ).…”

Section: Resultsmentioning

confidence: 99%

Foreign language anxiety research in System between 2004 and 2023: looking back and looking forward

2024

Front. Psychol.

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With the deepening of the research on emotional factors, foreign language anxiety (FLA) has become the focus of researchers in the field of foreign language learning (FLL) and teaching. This paper aims to provide an overview of the historical trajectory of FLA research that has been published in System between 2004 and 2023. While examining the retrieved 49 studies, focus has been laid on the methodologies including research instruments, methods, participants, major themes and key findings of FLA research. Although almost all of the studies employed quantitative and mix-methods methodologies, questionnaires and semi-structured interviews were the most preferred research methods. FL learners from 21 countries/regions were represented, but a significant number of the studies came from China, Japan and Iran. And an overwhelming majority of the studies focused on FLA among the learners learning English as a foreign language (EFL). The review concluded with some research lacunae and possible directions for future research on FLA.

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“…Despite being aware of its limitations, students' positive attitudes towards, and trust in, OMT was also reported by many researchers (e.g., Bahri & Mahadi, 2016;O'Neill, 2016;Valijärvi & Tarsoly, 2019). Tsai and Liao (2021) put forward that OMT use reduces anxiety and enhances students' motivation to learn L2. To Deng and Yu (2022) "there is growing interest in the ways that MT tools can be implemented to facilitate students' learning" (para 1).…”

Section: Background: Online Machine Translationmentioning

confidence: 93%

The Impact of Online Machine Translation (OMT) on Vocabulary Learning and Translation Ability

ELEbyary

2023

CDELT Occasional Papers in the Development of English Education

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There has been growing evidence in recent years that L2 learners are increasingly using various online machine translation (OMT) applications. While advanced technologies have improved the accuracy of machine translated texts, many language teachers are still sceptical about their pedagogical value. Recently, many L2 researchers have shown interest in investigating the affordances of OMT in language learning. This study initially examined the role of OMT in L2 learning and whether L2 learners would value and/or trust OMT output. The study also investigated the extent to which vocabulary learning can accrue from integrating OMT in a translation course and whether the quality of selftranslated texts would improve as a result. A total of 128 participants attending a core translation course took part in this study. The study involved the use of a pre-post vocabulary test, a pre-post translation test, vocabulary uptake sheets (VUSs), a questionnaire, self-translated and machine-translated tasks. The major findings indicated perceptions of its positive role in enhancing L2 learning. The study also found evidence of vocabulary enhancement and a slight improvement in self-translated text quality. The affordances and limitations of OMT for L2 teaching and learning are discussed.

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Students' progressive behavioral learning patterns in using machine translation systems – A structural equation modeling analysis

Cited by 10 publications

References 60 publications

A Systematic Review of Machine-Translation-Assisted Language Learning for Sustainable Education

A Systematic Review of Machine-Translation-Assisted Language Learning for Sustainable Education

Foreign language anxiety research in System between 2004 and 2023: looking back and looking forward

The Impact of Online Machine Translation (OMT) on Vocabulary Learning and Translation Ability

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