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Article published In: Journal of Second Language Pronunciation
Vol. 11:1 (2025) ► pp.4675

References (73)
References
Anderson, L. W., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J., & Wittrock, M. C. (2001). A taxonomy for learning, teaching and assessing: A revision of Bloom’s taxonomy of educational objectives. New York: Addison Wesley Longman.Google Scholar logo with link to Google Scholar
Anthropic. (2023, June 14). Claude 2.1: A milestone in helpful and honest AI. Claude by Anthropic. [URL]
Azevedo, R., Taub, M., & Mudrick, N. V. (2018). Understanding and reasoning about real-time cognitive, affective, and metacognitive processes to foster self-regulation with advanced learning technologies. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 254–270). Routledge/Taylor & Francis Group. Google Scholar logo with link to Google Scholar
Becker, K., & Edalatishams, I. (2019). ELSA Speak — Accent reduction. In J. Levis, C. Nagle, & E. Todey (Eds.), Proceedings of the 10th pronunciation in second language learning and teaching conference (pp. 434–438). Iowa State University.Google Scholar logo with link to Google Scholar
Beguš, G., Dąbkowski, M., & Rhodes, R. (2023). Large linguistic models: Analyzing theoretical linguistic abilities of LLMs. arXiv. Google Scholar logo with link to Google Scholar
Bernstein, J. (1999). PhonePass testing: Structure and construct. Menlo Park, CA: Ordinate Corporation.Google Scholar logo with link to Google Scholar
Bjork, R. A., Dunlosky, J., & Kornell, N. (2013). Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology, 641, 417–444. Google Scholar logo with link to Google Scholar
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., … Amodei, D. (2020). Language models are few-shot learners. arXiv. Google Scholar logo with link to Google Scholar
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., Nori, H., Palangi, H., Ribeiro, M. T., & Zhang, Y. (2023). Sparks of artificial general intelligence: Early experiments with GPT-4. arXiv. Google Scholar logo with link to Google Scholar
Carlet, A., & Kivistö-de Souza, H. (2018). Improving L2 pronunciation inside and outside the classroom: Perception, production and autonomous learning of L2 vowels. Ilha do Desterro, 71(3), 99–123. Google Scholar logo with link to Google Scholar
Chao, P.-J., Hsu, T.-H., Liu, T.-P., & Cheng, Y.-H. (2021). Knowledge of and competence in artificial intelligence: Perspectives of Vietnamese digital-native students. IEEE Access, 91, 75751–75760. Google Scholar logo with link to Google Scholar
Chi, M. T. H., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219–243. Google Scholar logo with link to Google Scholar
Chun, D. M. (2023). ELSA: English Language Speech Assistant. Journal of Second Language Pronunciation. Google Scholar logo with link to Google Scholar
Collins, B., Mees, I. M., & Carley, P. (2019). Practical English phonetics and phonology: A resource book for students (4th ed.). Routledge. Google Scholar logo with link to Google Scholar
Cope, B., & Kalantzis, M. (2023). A multimodal grammar of artificial intelligence: Measuring the gains and losses in generative AI. Multimodality & Society, 4(2). Google Scholar logo with link to Google Scholar
Coulange, S. (2023). Computer-aided pronunciation training in 2022: When pedagogy struggles to catch up. In A. Henderson & A. Kirkova-Naskova (Eds.), Proceedings of the 7th International Conference on English Pronunciation: Issues and Practices (pp. 11–22). Google Scholar logo with link to Google Scholar
Couper, G. (2022). Teaching and testing perception of word stress: Many shades of perception. In J. Levis & A. Guskaroska (Eds.), Proceedings of the 12th Pronunciation in Second Language Learning and Teaching Conference. Google Scholar logo with link to Google Scholar
Cruttenden, A. (2014). Gimson’s pronunciation of English (8th ed.). Routledge. Google Scholar logo with link to Google Scholar
D’Mello, S. K., & Graesser, A. C. (2023). Intelligent tutoring systems: ‘. In P. A. Schutz & K. R. Muis (Eds.), Handbook of educational psychology (4th ed.). Routledge. Google Scholar logo with link to Google Scholar
Duijn, M. van, Dijk, B. van, Kouwenhoven, T., Valk, W. de, Spruit, M., & van der Putten, P. (2023). Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7–10 on Advanced Tests. Proceedings of the 27th Conference on Computational Natural Language Learning, 389–402. Google Scholar logo with link to Google Scholar
Ellis, R. (2004). The definition and measurement of L2 explicit knowledge. Language Learning, 54(2), 227–275. Google Scholar logo with link to Google Scholar
(2005). Principles of instructed language learning. System, 33(2), 209–224. Google Scholar logo with link to Google Scholar
Fu, K., Peng, L., Yang, N., & Zhou, S. (2024). Pronunciation assessment with multi-modal large language models. arXiv. [URL]
Fu, Y., Song, H., Lee, S., Ma, D., Chi, E. H., Yang, L., & Zhang, C. (2023). Why can GPT-4 fail simple reasoning problems? A comprehensive evaluation of reasoning failures. arXiv. Google Scholar logo with link to Google Scholar
Garrett, N. (2009). Technology in the service of language learning: Trends and issues. The Modern Language Journal, 931: 697–718. Google Scholar logo with link to Google Scholar
Gartner. (2023). Hype cycle for artificial intelligence, 2023. Retrieved November 25, 2023, from [URL]
Gonet, W., & Stadnicka, L. (2005). Vowel clipping in English. Speech and Language Technology 81, 77–86.Google Scholar logo with link to Google Scholar
Graesser, A. C., Person, N. K., & Magliano, J. P. (1995). Collaborative dialogue patterns in naturalistic one-to-one tutoring. Applied Cognitive Psychology, 9(6), 495–522. Google Scholar logo with link to Google Scholar
Graesser, A. C., Conley, M. W., & Olney, A. (2012). Intelligent tutoring systems. In K. R. Harris, S. Graham, T. Urdan, A. G. Bus, S. Major, & H. L. Swanson (Eds.), APA educational psychology handbook, Vol. 3. Application to learning and teaching (pp. 451–473). American Psychological Association. Google Scholar logo with link to Google Scholar
Harnad, S. (2024). Language writ large: LLMs, ChatGPT, grounding, meaning and understanding. arXiv. Google Scholar logo with link to Google Scholar
Hunter, J. D. (2007). Matplotlib: A 2D Graphics Environment. Computing in Science & Engineering, 9(3), 90–95. Google Scholar logo with link to Google Scholar
Jekiel, M. (2022). L2 rhythm production and musical rhythm perception in advanced learners of English. Poznań Studies in Contemporary Linguistics, 58(2), 315–340. Google Scholar logo with link to Google Scholar
Jekiel, M., & Malarski, K. (2021). Musical hearing and musical experience in second language English vowel acquisition. Journal of Speech, Language, and Hearing Research, 64(5), 1666–1682. Google Scholar logo with link to Google Scholar
Jeon, J., & Lee, S. (2023). Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT. Education and Information Technologies, 28(12), 15873–15892. Google Scholar logo with link to Google Scholar
Jeon, J., Lee, S., & Choe, H. (2023). Beyond ChatGPT: A conceptual framework and systematic review of speech-recognition chatbots for language learning. Computers & Education, 2061, 104898. Google Scholar logo with link to Google Scholar
Kheiri, K., & Karimi, H. (2023). SentimentGPT: Exploiting GPT for advanced sentiment analysis and its departure from current machine learning. arXiv. Google Scholar logo with link to Google Scholar
Kosinski, M. (2023). Theory of Mind Might Have Spontaneously Emerged in Large Language Models. arXiv. Google Scholar logo with link to Google Scholar
Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of ITSs: A meta-analytic review. Review of Educational Research, 86(1), 42–78. Google Scholar logo with link to Google Scholar
Lombardi, D., Shipley, T. F., Bailey, J. M., Bretones, P. S., Prather, E. E., Ballen, C. J., Knight, J. K., Smith, M. K., Stowe, R. L., Cooper, M. M., Prince, M., Atit, K., Uttal, D. H., LaDue, N. D., McNeal, P. M., Ryker, K., St. John, K., van der Hoeven Kraft, K. J., & Docktor, J. L. (2021). The curious construct of active learning. Psychological Science in the Public Interest, 22(1), 8–43. Google Scholar logo with link to Google Scholar
Łodzikowski, K. (2021). Association between allophonic transcription tool use and phonological awareness level. Language Learning and Technology, 25(1), 20–30. [URL]
Łodzikowski, K., Foltz, P. W., & Behrens, J. T. (2023). Generative AI and its educational implications. arXiv. Google Scholar logo with link to Google Scholar
Liu, R., Zenke, C., Liu, C., Holmes, A., Thornton, P., & Malan, D. J. (2024). Teaching CS50 with AI: Leveraging generative artificial intelligence in computer science education. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education — SIGCSE 2024 (Vol. 11, pp. 1–7). Portland: ACM. Google Scholar logo with link to Google Scholar
McKinney, W. (2010). Data structures for statistical computing in Python. In S. van der Walt & J. Millman (Eds.), Proceedings of the 9th Python in Science Conference (pp. 56–61). Google Scholar logo with link to Google Scholar
Merriënboer, J. G., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17(2), 147–177. Google Scholar logo with link to Google Scholar
Mollick, E. R., & Mollick, L. (2024). Instructors as innovators: A future-focused approach to new AI learning opportunities, with prompts. The Wharton School Research Paper. Google Scholar logo with link to Google Scholar
Mompeán, J. A. (2024). ChatGPT for L2 pronunciation teaching and learning. ELT Journal, 78(4), 423–434. Google Scholar logo with link to Google Scholar
Nowacka, M. (2022). English phonetics course: University students’ preferences and expectations. Research in Language, 20(1), 71–84. Google Scholar logo with link to Google Scholar
NYU Center for Mind, Brain and Consciousness. (2023, April 6). Debate: Do language models need sensory grounding for meaning and understanding? [Video]. YouTube. [URL]
Organisation for Economic Co-operation and Development. (2024). Explanatory memorandum on the updated OECD definition of an AI system (OECD Artificial Intelligence Papers, No. 8). OECD Publishing. Google Scholar logo with link to Google Scholar
OpenAI. (2022, November 30). Introducing ChatGPT. [URL]
. (2023a). GPT-3.5 Turbo [Large language model]. OpenAI Blog. [URL]
. (2023b). GPT-4 technical report. arXiv. Google Scholar logo with link to Google Scholar
. (2024). GPT-4o [Large language model]. [URL]
Pea, R. D. (2004). The social and technological dimensions of scaffolding and related theoretical concepts for learning, education, and human activity. Journal of the Learning Sciences, 13(3), 423–451. Google Scholar logo with link to Google Scholar
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., … & Duchesnay, E. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 121, 2825–2830.Google Scholar logo with link to Google Scholar
Pennington, M. C., & Rogerson-Revell, P. (2019). Using technology for pronunciation teaching, learning, and assessment. In M. C. Pennington & P. Rogerson-Revell (Eds.), English pronunciation teaching and research (pp. 235–286). Palgrave Macmillan. Google Scholar logo with link to Google Scholar
Python Software Foundation. (2023). Python (Version 3.12.1). [URL]
Reid, L., Button, D., & Brommeyer, M. (2023). Challenging the myth of the digital native: A narrative review. Nursing Reports, 13(2), 573–600. Google Scholar logo with link to Google Scholar
Rojczyk, A., & Porzuczek, A. (2012). Selected aspects in the acquisition of English phonology by Polish learners — Segments and prosody. In D. Gabryś-Barker (Ed.), Readings in second language acquisition (pp. 93–120). Katowice: Uniwersytet Śląski.Google Scholar logo with link to Google Scholar
Schmidt, R. W. (1990). The role of consciousness in second language learning. Applied Linguistics, 11(2), 129–158. Google Scholar logo with link to Google Scholar
Shaikh, S., Yayilgan, S. Y., Klimova, B., & Pikhart, M. (2023). Assessing the usability of ChatGPT for formal English language learning. European Journal of Investigation in Health, Psychology and Education, 13(9), 1937–1960. Google Scholar logo with link to Google Scholar
Sharma, P., & Hannafin, M. J. (2007). Scaffolding in technology-enhanced learning environments. Interactive Learning Environments, 15(1), 27–46. Google Scholar logo with link to Google Scholar
Sim, A., Wang, Y., Chan, T. S., & Huang, Y. (2024). Evaluating the generation of spatial relations in text and image generative models. arXiv Preprint, arXiv:2411.07664. Google Scholar logo with link to Google Scholar
Simmering, P. F., & Huoviala, P. (2023). Large language models for aspect-based sentiment analysis. arXiv. Google Scholar logo with link to Google Scholar
Sobkowiak, W. (2004). English phonetics for Poles (3rd ed.). Poznań: Wydawnictwo Poznańskie.Google Scholar logo with link to Google Scholar
Stockwell, G., & Wang, Y. (2023). Exploring the challenges of technology in language teaching in the aftermath of the pandemic. RELC Journal, 54(2). Google Scholar logo with link to Google Scholar
Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.-A., Lacroix, T., Rozière, B., Goyal, N., Hambro, E., Azhar, F., Rodriguez, A., Joulin, A., Grave, E., & Lample, G. (2023). LLaMA: Open and efficient foundation language models. arXiv. Google Scholar logo with link to Google Scholar
Tunstall, L., Beeching, E., Lambert, N., Rajani, N., Rasul, K., Belkada, Y., Huang, S., Werra, L. von, Fourrier, C., Habib, N., Sarrazin, N., Sanseviero, O., Rush, A. M., & Wolf, T. (2023). Zephyr: Direct distillation of LM alignment. arXiv. Google Scholar logo with link to Google Scholar
Weckwerth, J. (2011). English TRAP vowel in advanced Polish learners: Variation and system typology. In W.-S. Lee & E. Zee (Eds.), Proceedings of the 17th International Congress of Phonetic Sciences (pp. 2110–2113). Hong Kong: City University of Hong Kong.Google Scholar logo with link to Google Scholar
Winne, P. H. (2021). Open learner models working in symbiosis with self-regulating learners: A research agenda. International Journal of Artificial Intelligence in Education, 311, 446–459. Google Scholar logo with link to Google Scholar
Wrembel, M. (2011). Cross-modal reinforcements in phonetics teaching and learning: An overview of innovative trends in pronunciation pedagogy. In W. S. Lee & E. Zee (Eds.), Proceedings of the 17th International Congress of Phonetic Sciences (pp. 104–107). City University of Hong Kong.Google Scholar logo with link to Google Scholar
Yan, D., Rupp, A. A., & Foltz, P. W. (Eds.). (2020). Handbook of automated scoring: Theory into practice. CRC Press. Google Scholar logo with link to Google Scholar
Zheng, Y., & De Jong, J. H. A. L. (2011). Research note: Establishing construct and concurrent validity of Pearson Test of English Academic. Pearson. Retrieved from [URL]
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