The DOI matches its Crossref record, with a small difference in title or year; 28 of the 28 references it cites were found in a registry or an index.
The impact of Google Assistant on adolescent EFL learners’ willingness to communicate
Abstract
Willingness to communicate (WTC) is considered to be an important factor contributing to successful foreign language learning. Many studies aim at finding effective tools for enhancing WTC. With the support of AI and Automatic Speech Recognition technology, intelligent personal assistants (IPAs) seem to have potentials in improving foreign language learners’ WTC. However, few empirical studies focus on the possible impact of IPAs on learners’ WTC. This study was conducted to investigate the potentials of an IPA, Google Assistant, for developing adolescent EFL learners’ WTC and their perceptions of IPAs for EFL learning. This study recruited 112 eighth-grade EFL learners who engaged in Google-Assistant-language-learning activities for two weeks. Two WTC questionnaires were administered at the beginning and end of the intervention. The results demonstrated that Google Assistant significantly promoted EFL learners’ WTC, enhanced communicative confidence, and reduced speaking anxiety. Analyses of interviews revealed that participants enjoyed playing games with Google Assistant and talking to chatbots, which helped them feel less anxious and motivated to use English for real and meaningful communication. The findings indicated that IPA-based interaction provided a less threatening environment, in which learners displayed higher levels of engagement, motivation, confidence, and, in turn, their WTC in the target language.
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“It is becoming increasingly difficult to distinguish whether a text is machine- or human-generated, presenting an additional major challenge to teachers and educators [58, 59, 60, 61].”
From ChatGPT for good? On opportunities and challenges of large language models for education (2023) · cites this paper as [59]
Citations
Cites
Language Learning with Technology
Castillo, D. G. (2021) · Springer eBooks · doi:10.1007/978-981-16-2697-5 · Cited by 2,211
MACINTYRE, P. D., CLÉMENT, R., DÖRNYEI, Z., & NOELS, K. A. (1998) · The Modern Language Journal · doi:10.1111/j.1540-4781.1998.tb05543.x · Cited by 2,171
British Educational Research Journal
British Educational Research Association (2013) · British Educational Research Journal · doi:10.1002/(issn)1469-3518 · Cited by 975
Burston, J. (2013) · IALLT Journal of Language Learning Technologies · doi:10.17161/iallt.v43i2.8528 · Cited by 897
WILLINGNESS TO COMMUNICATE, SOCIAL SUPPORT, AND LANGUAGE-LEARNING ORIENTATIONS OF IMMERSION STUDENTS
MacIntyre, P. D., Baker, S. C., Clément, R., & Conrod, S. (2001) · Studies in Second Language Acquisition · doi:10.1017/s0272263101003035 · Cited by 638
Dynamic emergence of situational willingness to communicate in a second language
Kang, S.-J. (2005) · System · doi:10.1016/j.system.2004.10.004 · Cited by 637
2. An Overview of Language Anxiety Research and Trends in its Development
MacIntyre, P. D. (2017) · New Insights into Language Anxiety · doi:10.21832/9781783097722-003 · Cited by 477
Lee, J. S., & Hsieh, J. C. (2019) · System · doi:10.1016/j.system.2019.03.002 · Cited by 292
Motivational Currents in Language Learning
Dörnyei, Z., Henry, A., & Muir, C. (2015) · Routledge eBooks · doi:10.4324/9781315772714 · Cited by 275
Can I Say Something? The Effects of Digital Gameplay on Willingness to Communicate
Reinders, H., & Wattana, S. (2014) · Language learning & technology · doi:10.64152/10125/44372 · Cited by 257
A Sociocognitive Perspective on Second Language Classroom Willingness to Communicate
Cao, Y. K. (2014) · TESOL Quarterly · doi:10.1002/tesq.155 · Cited by 222
Intelligent personal assistants: can they understand and be understood by accented L2 learners?
Moussalli, S., & Cardoso, W. (2019) · Computer Assisted Language Learning · doi:10.1080/09588221.2019.1595664 · Cited by 178
Peng, J. (2019) · System · doi:10.1016/j.system.2019.04.006 · Cited by 173
The impact of gender and immediacy on willingness to talk and perceived learning
Menzel, K. E., & Carrell, L. J. (1999) · Communication Education · doi:10.1080/03634529909379150 · Cited by 168
Lai, C., Shum, M. S. K., & Tian, Y. (2014) · Computer Assisted Language Learning · doi:10.1080/09588221.2014.889714 · Cited by 165
Evaluating intelligent personal assistants for L2 listening and speaking development
Dizon, G. (2020) · Language learning & technology · doi:10.64152/10125/44705 · Cited by 154
Zhang, J., Beckmann, N., & Beckmann, J. F. (2018) · System · doi:10.1016/j.system.2018.01.003 · Cited by 144
Using Intelligent Personal Assistants for Second Language Learning: A Case Study of Alexa
Dizon, G. (2017) · TESOL Journal · doi:10.1002/tesj.353 · Cited by 130 · cited 2×
“The fi ndings corroborate with prior research (e.g. Dizon, 2017; Kessler, 2018; Moussalli & Cardoso, 2019) that reported that IPAs had enabled learners to learn happily, reduced their anxiety, increased con fi dence, and consequently promoted their WTC and learning gains.”
BackgroundResultSauro, S. J., & Zourou, K. (2019) · Language learning & technology · doi:10.64152/10125/44666 · Cited by 117
EFL students’ views of willingness to communicate in the extramural digital context
Lee, J. S. (2019) · Computer Assisted Language Learning · doi:10.1080/09588221.2018.1535509 · Cited by 113
Exploring AI language assistants with primary EFL students
Underwood, J. (2017) · doi:10.14705/rpnet.2017.eurocall2017.733 · Cited by 78
Willingness to Communicate in Instructed Second Language Acquisition
Mystkowska‐Wiertelak, A., & Pawlak, M. (2017) · Multilingual Matters eBooks · doi:10.21832/9781783097173 · Cited by 71
Liu, M. (2016) · International Journal of Bilingual Education and Bilingualism · doi:10.1080/13670050.2015.1127889 · Cited by 65
Are commercial ‘personal robots’ ready for language learning? Focus on second language speech
Moussalli, S., & Cardoso, W. (2016) · doi:10.14705/rpnet.2016.eurocall2016.583 · Cited by 51
L2 feelings through interaction in a Japanese-English online chat exchange
Sampson, R. J., & Yoshida, R. (2020) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2019.1710514 · Cited by 37
I Can’t Program! Customizable Mobile Language-Learning Resources for Researchers and Practitioners
Barcomb, M., Grimshaw, J., & Cardoso, W. (2017) · Languages · doi:10.3390/languages2030008 · Cited by 18
Mandarin Chinese Verbs as Verbal Items in Uyghur Mixed Verbs
Sugar, A. (2017) · Languages · doi:10.3390/languages2010001 · Cited by 16
Yan, J. X., Pan, J., & Wang, H. (2017) · New frontiers in translation studies · doi:10.1007/978-981-10-6958-1_8 · Cited by 3
Research works printed but not linked: 4
- Dizon G., 2020, Language Learning & Technology, 24, 16
- Eddy-U M., 2015, Science Direct, 50, 43
- Sandeep S. S., 2019, Journal of The Gujarat Research Society, 21, 619
- Sauro S., 2019, Language Learning & Technology, 23, 1
Cited by
Sorted by citations
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · doi:10.35542/osf.io/5er8f · Cited by 7,552
ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102274 · Cited by 7,326
“Another application is to support students when they experience foreign language learning anxiety [24] or have a lower willingness to communicate [25].”
BackgroundFathi, J., Rahimi, M., & Derakhshan, A. (2024) · System · doi:10.1016/j.system.2024.103254 · Cited by 557
Ji, H., Han, I., & Ko, Y. (2023) · Journal of Research on Technology in Education · doi:10.1080/15391523.2022.2142873 · Cited by 394
Lee, Y.-F., Hwang, G.-J., & Chen, P.-Y. (2022) · Educational Technology Research and Development · doi:10.1007/s11423-022-10142-8 · Cited by 323
Metadata
- Authors
- Tai, T.-Y., & Chen, H. H.-J.
- Affiliations
- National Tsing Hua University (TW)
- National Taiwan Normal University (TW)
- Corresponding author
- Chen, Howard Hao-Jan
- Venue
- Interactive Learning Environments
- Publisher
- Informa UK Limited
- Published
- 2020-11-15
- Volume
- 31
- Issue
- 3
- Pages
- 1485-1502
- ISSN
- 1049-4820 (ISSN-L)
- 1744-5191
- OpenAlex
- W3100449273
- Cited by
- 302
- References
- 28
- Citations by year
- 2026: 70 · 2025: 96 · 2024: 65 · 2023: 45 · 2022: 19 · 2021: 7
- FWCI
- 82.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Interactive Learning Environments (publishedVersion)
- Funders
- Chinese Language and Technology Center of National Taiwan Normal University
- Ministry of Education in Taiwan
- Topics
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Social Sciences › Education › English Language Learning and Teaching
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- Google Assistant, willingness to communicate, virtual assistants, EFL learners, adolescents, speaking anxiety, communication confidence, chatbots, game-based interaction, student motivation, learner perceptions, AI-assisted language learning
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