This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
AlDakhil, M., & AlFadda, H. (2022). EFL Learners’ Perceptions Regarding the Use of Busuu Application in Language Learning: Evaluating the Technology Acceptance Model (TAM). English Language Teaching, 15(1), 1-15.Search in Google Scholar
Alfuhaid, S. R. (2021). The Utilisation of Duolingo to Enhance the Speaking Proficiency of EFL Secondary School Students in Saudi Arabia. English Language Teaching, 14(11), 9-15.Search in Google Scholar
Almelhes, S. A. (2023). A Review of Artificial Intelligence Adoption in Second-Language Learning. Theory and Practice in Language Studies, 13(5), 1259-1269.Search in Google Scholar
An, X., Chai, C. S., Li, Y., Zhou, Y., Shen, X., Zheng, C., & Chen, M. (2022). Modeling English teachers’ behavioral intention to use artificial intelligence in middle schools. Education and Information Technologies, 1-22.Search in Google Scholar
Annamalai, N., Eltahir, M. E., Zyoud, S. H., Soundrarajan, D., Zakarneh, B., & Al Salhi, N. R. (2023). Exploring English language learning via Chabot: A case study from a self determination theory perspective. Computers and Education: Artificial Intelligence, 100148.Search in Google Scholar
Ayedoun, E., Hayashi, Y., & Seta, K. (2019). Adding communicative and affective strategies to an embodied conversational agent to enhance second language learners’ willingness to communicate. International Journal of Artificial Intelligence in Education, 29, 29-57.Search in Google Scholar
Bajorek, J. P. (2017). L2 pronunciation in CALL: The unrealized potential of Rosetta stone, Duolingo, Babbel, and mango languages. Issues and Trends in Educational Technology, 5(1), 24-51.Search in Google Scholar
Bashori, M., van Hout, R., Strik, H., & Cucchiarini, C. (2022). ‘Look, I can speak correctly’: learning vocabulary and pronunciation through websites equipped with automatic speech recognition technology. Computer Assisted Language Learning, 1-29.Search in Google Scholar
Benzies, Y. J. C. (2017). Contributions of new technologies to the teaching of English pronunciation. Language Value, 9(1).Search in Google Scholar
Bogach, N., Boitsova, E., Chernonog, S., Lamtev, A., Lesnichaya, M., Lezhenin, I., ... & Blake, J. (2021). Speech processing for language learning: A practical approach to computer-assisted pronunciation teaching. Electronics, 10(3), 235.Search in Google Scholar
Brick, B., & Cervi-Wilson, T. (2019). Enhancing learners’ professional competence via Duolingo classroom. Professional competencies in language learning and teaching, Research-publishing. net, 19-29.Search in Google Scholar
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: a narrative overview. Procedia Computer Science, 136, 16-24.Search in Google Scholar
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278.Search in Google Scholar
Cheng, Z., & Wang, Z. (2022). Automatic Scoring of Spoken Language Based on Basic Deep Learning. Scientific Programming, 2022.Search in Google Scholar
Chung, B., & Bong, H. K. M. (2022). A study on the intelligibility of Korean-Accented English: Possibilities of implementing AI applications in English education. Journal of Asia TEFL, 19(1), 197.Search in Google Scholar
Chuyen, N. T. H., Linh, H. T., & Phuc, N. T. H. (2021). Enhancing English Pronunciation for High School Students Through Duolingo Application. International Journal of All Research Writings, 3(1), 46-54.Search in Google Scholar
Citrayasa, V. (2019). Junior high school students’ lived experiences of learning English using Busuu. Indonesian EFL Journal, 5(2), 85-92. doi: 10.25134/ieflj.v5i2.1900.Search in Google Scholar
Dai, Y. (2022). An Automatic Pronunciation Error Detection and Correction Mechanism in English Teaching Based on an Improved Random Forest Model. Journal of Electrical and Computer Engineering, 2022.Search in Google Scholar
Cohn, M., Predeck, K., Sarian, M., & Zellou, G. (2021). Prosodic alignment toward emotionally expressive speech: Comparing human and Alexa model talkers. Speech Communication, 135, 66-75.Search in Google Scholar
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008Search in Google Scholar
Derwing, T. M., & Munro, M. J. (1997). Accent, intelligibility, and comprehensibility: Evidence from four L1s. Studies in Second Language Acquisition, 19(1), 1–16.Search in Google Scholar
Derwing, T. M., & Munro, M. J. (2009). Putting accent in its place: Rethinking obstacles to communication. Language Teaching, 42, 276–490.Search in Google Scholar
Dizon, G. (2017). Using intelligent personal assistants for second language learning: A case study of Alexa. Tesol Journal, 8(4), 811-830.Search in Google Scholar
Dizon, G. (2021). Affordances and constraints of intelligent personal assistants for second-language learning. RELC Journal, 00336882211020548.Search in Google Scholar
Dizon, G., Tang, D., & Yamamoto, Y. (2022). A case study of using Alexa for out-of-class, self-directed Japanese language learning. Computers and Education: Artificial Intelligence, 3, 100088.Search in Google Scholar
El Shazly, R. (2021). Effects of artificial intelligence on English speaking anxiety and speaking performance: A case study. Expert Systems, 38(3), e12667Search in Google Scholar
Foster, M. E., & Stuart-Smith, J. (2023). Social robotics meets sociolinguistics: Investigating accent bias and social context in HRI.Search in Google Scholar
Field, J. (2005). Intelligibility and the listener: The role of lexical stress. TESOL quarterly, 39(3), 399-423.Search in Google Scholar
Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y., & Pearson, A. T. (2022). Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers. BioRxiv, 2022-12.Search in Google Scholar
Hazar, E. (2022). Learning a Brand-New Language through Duolingo: A Case Study of a Gifted Student. African Educational Research Journal, 10(4), 447-453.Search in Google Scholar
Hockly, N. (2023). Artificial Intelligence in English Language Teaching: The Good, the Bad and the Ugly. RELC Journal, 00336882231168504.Search in Google Scholar
Hsu, H. L., Chen, H. H. J., & Todd, A. G. (2021). Investigating the impact of the Amazon Alexa on the development of L2 listening and speaking skills. Interactive Learning Environments, 1-14.Search in Google Scholar
Huang, W., Hew, K. F., & Fryer, L. K. (2022). Chatbots for language learning—Are they really useful? A systematic review of chatbot-supported language learning. Journal of Computer Assisted Learning, 38(1), 237–257. https://doi.org/10.1111/jcal.12610Search in Google Scholar
Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends, Research Issues and Applications of Artificial Intelligence in Language Education. Educational Technology & Society, 26(1), 112-131. https://doi.org/10.30191/ETS.202301_26(1).0009Search in Google Scholar
Iphofen, R., & Kritikos, M. (2021). Regulating artificial intelligence and robotics: ethics by design in a digital society. Contemporary Social Science, 16(2), 170-184.Search in Google Scholar
Isbell, D. R., Crowther, D., & Nishizawa, H. (2023). Speaking performances, stakeholder perceptions, and test scores: Extrapolating from the Duolingo English test to the university. Language Testing, 02655322231165984.Search in Google Scholar
Jenkins, J. (2006). Current perspectives on teaching world Englishes and English as a lingua franca. TESOL quarterly, 40(1), 157-181.Search in Google Scholar
Jiao, F., Song, J., Zhao, X., Zhao, P., & Wang, R. (2021). A spoken English teaching system based on speech recognition and machine learning. International Journal of Emerging Technologies in Learning (iJET), 16(14), 68-82.Search in Google Scholar
Khalil, M., & Er, E. (2023). Will ChatGPT get you caught? Rethinking of plagiarism detection. arXiv preprint arXiv:2302.04335.Search in Google Scholar
Khampusaen, D., Chanprasopchai, T., & Lao-un, J. (2023). Empowering Thai Community-based Tourism Operators: Enhancing English Pronunciation Abilities with AI-based Lessons. Journal of Mekong Societies, 19(1), 132-159.Search in Google Scholar
Lee, K. A., & Lim, S. B. (2023). Designing a Leveled Conversational Teachable Agent for English Language Learners. Applied Sciences, 13(11), 6541.Search in Google Scholar
Lee, S., Noh, H., Lee, J., Lee, K., & Lee, G. G. (2010). Cognitive effects of robot-assisted language learning on oral skills. In Second language studies: Acquisition, learning, education and technology (pp. 1–4).Search in Google Scholar
Levis, J. M. (2005). Changing contexts and shifting paradigms in pronunciation teaching. TESOL quarterly, 39(3), 369-377.Search in Google Scholar
Levis, J. (2020). Revisiting the intelligibility and nativeness principles. Journal of Second Language Pronunciation, 6(3), 310-328.Search in Google Scholar
Li, Y. (2022). Teaching mode of oral English in the age of artificial intelligence. Frontiers in Psychology, 13, 953482.Search in Google Scholar
Lim, W. M., Kumar, S., Verma, S., & Chaturvedi, R. (2022). Alexa, what do we know about conversational commerce? Insights from a systematic literature review. Psychology & Marketing, 39(6), 1129-1155.Search in Google Scholar
McCrocklin, S. (2019). ASR-based dictation practice for second language pronunciation improvement. Journal of Second Language Pronunciation, 5(1), 98-118.Search in Google Scholar
Moussalli, S., & Cardoso, W. (2020). Intelligent personal assistants: can they understand and be understood by accented L2 learners?. Computer Assisted Language Learning, 33(8), 865-890.Search in Google Scholar
Neri, A., Cucchiarini, C., Strik, H., & Boves, L. (2002). The pedagogy-technology interface in computer assisted pronunciation training. Computer assisted language learning, 15(5), 441-467.Search in Google Scholar
Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational technology research and development, 71(1), 137-161.Search in Google Scholar
Noviyanti, S. D. (2020). Artificial intelligence (AI)-Based pronunciation checker: an alternative for independent learning in pandemic situation. Journal of English Language Teaching in Foreign Language Context, 5(2), 162.Search in Google Scholar
O’Brien, M., Derwing, T., Cucchiarini, C., Hardison, D., Mixxdorff, H., Thomosn, R., Strik, H., Levis, J., Munro, M., Foote, J., & Muller Levis, G. (2018). Directions for the future of technology in pronunciation research and teaching. Journal of Second Language Pronunciation, 4(2), 182-207.Search in Google Scholar
Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135-153.Search in Google Scholar
Portnoff, L., Gustafson, E., Rollinson, J., & Bicknell, K. (2021). Methods for Language Learning Assessment at Scale: Duolingo Case Study. International Educational Data Mining Society.Search in Google Scholar
Rogerson-Revell, P. M. (2021). Computer-assisted pronunciation training (CAPT): Current issues and future directions. Relc Journal, 52(1), 189-205.Search in Google Scholar
Shufang, Z. (2021). Design of an Automatic English Pronunciation Error Correction System Based on Radio Magnetic Pronunciation Recording Devices. Journal of Sensors, 2021, 1-12.Search in Google Scholar
Sidgi, L. F. S., & Shaari, A. J. (2017). The usefulness of automatic speech recognition (ASR) eyespeak software in improving Iraqi EFL students’ pronunciation. Advances in language and literary studies, 8(1), 221-226.Search in Google Scholar
Sumakul, D. T., Hamied, F. A., & Sukyadi, D. (2022). Artificial intelligence in EFL classrooms: Friend or foe? LEARN Journal: Language Education and Acquisition Research Network, 15(1), 232-256.Search in Google Scholar
Underwood, J. (2017). Exploring AI language assistants with primary EFL students. CALL in a climate of change: adapting to turbulent global conditions–short papers from EUROCALL, 2017, 317-321.Search in Google Scholar
Vančová, H. (2019). Current issues in pronunciation teaching to non-native learners of English. Journal of Language and Cultural Education, 7(2), 140-155.Search in Google Scholar
Vančová, H. (2020). Pronunciation Practices in EFL Teaching and Learning. University of Hradec Králové, Gaudeamus Publishing House.Search in Google Scholar
Vančová, H. (2021). Teaching English pronunciation using technology. Kirsch-Verlag.Search in Google Scholar
Yoshida, M. T. (2018). Choosing technology tools to meet pronunciation teaching and learning goals. Catesol Journal, 30(1), 195-212.Search in Google Scholar
Wang, Y. H., & Young, S. C. (2015). Effectiveness of feedback for enhancing English pronunciation in an ASR‐based CALL system. Journal of Computer Assisted Learning, 31(6), 493-504.Search in Google Scholar
Zhai, C. & Wibowo, S. (2023). A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university. Computers and Education: Artificial Intelligence, 100134.Search in Google Scholar
Zhu, Q., Chau, A., Cohn, M., Liang, K. H., Wang, H. C., Zellou, G., & Yu, Z. (2022). Effects of Emotional Expressiveness on Voice Chatbot Interactions. Proceedings of the 4th Conference on Conversational User Interfaces, 1-11.Search in Google Scholar
Zou, B.; Guan, X.; Shao, Y.; Chen, P. (2023). Supporting Speaking Practice by Social Network-Based Interaction in Artificial Intelligence (AI)-Assisted Language Learning. Sustainability, 15, 2872. https://doi.org/10.3390/su15042872Search in Google Scholar