Trends of Using Artificial Intelligence (AI) Technologies in Research Studies of English Language Teaching

Authors

  • Wanchana Boonchom Asst. Prof., English Program, Faculty of Humanities and Social Sciences, Ubon Ratchathani Rajbhat University, Thailand
  • Surachai Piyanukool Asst. Prof. Dr., English Language Teaching Program, Faculty of Humanities and Social Sciences, Buriram Rajabhat University, Thailand
  • Nawamin Prachanant Asst. Prof. Dr., English Language Teaching Program, Faculty of Humanities and Social Sciences, Buriram Rajabhat University, Thailand

DOI:

https://doi.org/10.14456/bej.2024.3

Keywords:

artificial intelligence technologies, English Language Teaching (ELT), pedagogy, research studies

Abstract

Artificial Intelligence (AI) plays an increasingly important role in English language teaching (ELT); however, the trends of AI in language learning remain largely under-investigated. Accordingly, the study, using bibliometric analysis, investigates these issues via a review of 64 papers published between 2021 and 2023, focusing on how AI was integrated into ELT. The objectives aimed to 1) identify the integration of AI technologies in researches in order to enhance English language acquisition and pedagogical skills, and 2) explore the levels of English language learners that AI technologies employed in the obtained studies. The academic articles, research papers, conference proceedings were selected by publication in 2021 and 2023 that obtained from ERIC database. The search terms of “Artificial Intelligence”, “English Language Teaching”, and “Teaching Strategies” resulted in 64 articles that they were selected by purposive sampling. Findings revealed that the frequency of employing AI in the studies. The results pointed the five most popular AI-technology based English language teaching and learning obtained from the review were: (1) AI-technology based pedagogies (48 articles, 75%), (2) the AI-technology based English writing (8 articles, 12.5%), (3) the AI-technology based English vocabulary (4 articles, 6.25%), (4) the AI-technology based English speaking (3 articles, 4.68%), (5) the AI-technology based English grammar (1 article, 1.56%). The results also indicated the levels of learners that AI-technologies integrated in ELT were at the tertiary level was the most frequent (29 articles, 45.3%), followed by overall (23 articles, 35.9%), the secondary level (10 articles, 15.6%), and an equal number of studies examined using AI-technologies at the primary level and graduate level (1 article, 1.56%). This study is helpful for those interested in finding the appropriate AI for English language acquisition and pedagogical skills.

References

Abdalkader, S., M. A. (2023). The impact of using artificial intelligence on enhancing EFL language fluency and self-regulation for the preparatory stage students in distinguished governmental language schools. (Doctoral Dissertation). Ain Shams University. https://eric.ed.gov/?q=Artificial+Intelligence+(AI)+in+English+Language+Teaching+(ELT)&ff1=dtySince_2020&pg=2&id=ED630026

Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), 429.

Alexander, K., Savvidou, C., & Alexander, C. (2023). Who wrote this essay? Detecting AI-generated writing in second language education in higher education, Teaching English with Technology, 23(2), 25-43.

Ali, F., Choy, D., Divaharan, S., Tay, H., & Chen, W. (2023). Supporting self-directed learning and self-assessment using teacher GAIA, a generative AI Chatbot application: learning approaches and prompt engineering. Learning: Research and Practice, 9(2), 135-147.

Ali, Z. (2020). Artificial Intelligence (AI): A review of its uses in language teaching and learning. IOP Conference Series: Materials Science and Engineering, 769(1), 12-43.

Alsadoon, R. (2021). Chatting with AI bot: vocabulary learning assistant for Saudi EFL learners. English Language Teaching, 14(6), 135-157.

Álvarez-Álvarez, C., & Falcon, S. (2023). Students' preferences with university teaching practices: analysis of testimonials with artificial intelligence. Educational Technology Research and Development, 71(4), 709-724.

An, X., Chai, C. S., Li, Y., Zhou, Y., Shen, X., Zheng, C., & Chen, M. (2023) Modeling English teachers' behavioral intention to use artificial intelligence in middle schools. Education and Information Technologies, 28(5), 187-208.

Balkir, N. B., Celik, H., & Cepni, G. (2023). Lexical complexity in ELT students' essays across genres and over the course of time. Reading Matrix: An International Online Journal, 23(1), 67-79.

Baranwal, D. (2022). A systematic review of exploring the potential of teachable agents in English learning. Pedagogical Research, 7(1), 1-17.

Bonner, E., Lege, R., & Frazier, E. (2023). Large language model-based artificial intelligence in the language classroom: practical ideas for teaching. Teaching English with Technology, 23(1), 23-41.

Bozkurt, A. (2023). Generative Artificial Intelligence (AI) powered conversational educational agents: the inevitable paradigm shift. Asian Journal of Distance Education, 18(1), 198-204.

Burkhard, M. (2022). Student perceptions of AI-powered writing tools: towards individualized teaching strategies. Proceeding of Research, International Association for Development of the Information Society, Paper presented at the International Conference on Cognition and Exploratory Learning in Digital Age (CELDA).

Byrd, A. (2023). Truth-telling: Critical inquiries on LLMs and the corpus texts that train them. Composition Studies, 51(1)135-142.

Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education: contributors, collaborations, research topics, challenges, and future directions. Educational Technology & Society, 25(1), 28-47.

Chen, Y. (2018). Artificial intelligence in English language education: Promises and challenges. Journal of Education and Learning, 7(1), 1-9.

Chu, J., & Szlagor, M. (2023). Multi-intelligence English teaching model based on distance and open education. International Journal of Web-Based Learning and Teaching Technologies, 18(2).

Costello, E., Brunton, J., Bolger, R., Soverino, T., & Juillerac, C. (2023). Massive omission of consent (MOOC): Ethical research in educational big data studies

Davis, B. (2020). The role of artificial intelligence in language learning. TESL-EJ, 24(2), 1-10.

Diaz, M. (2023). 2023 was a big year for AI: The top countries using it and which AI tools they prefer. https://www.zdnet.com/article/2023-was-a-big-year-for-ai-the-top-countries-using-ai-and-the- tools-they-prefer/

Du, Y., & Gao, H. (2022). Determinants affecting teachers' adoption of AI-based applications in EFL Context: An analysis of analytic hierarchy process. Education and Information Technologies, 27(7), 357-384.

Ehrensberger-Dow, M., Delorme Benites, A., & Lehr, C. (2023). A new role for translators and trainers: MT literacy consultants. Interpreter and Translator Trainer, 17(3), 393-411.

Ericsson, E., Sofkova Hashemi, Y., & Lundin, J. (2023). Fun and frustrating: Students' perspectives on practicing speaking english with virtual humans. Cogent Education, 10(1).

Escalante, J., Pack, A., & Barrett, A. (2023). AI-generated feedback on writing: Insights into efficacy and ENL student preference. International Journal of Educational Technology in Higher Education, 20(57).

Fitria, T. N. (2021). Grammarly as AI-powered English writing assistant: students’ alternative for writing English. Metathesis: Journal of English Language, Literature, and Teaching. https://doi.org/10.31002/metathesis.v5i1.3519

Fyfe, P. (2022). How to cheat on your final paper: Assigning AI for student writing. AI and Society. https://doi.org/10.1007/s00146-022-01397-z

Gayed, J. M., Carlon, M. K. J., Oriola, A. M., & Cross, J. S. (2022). Exploring an AI-based writing assistant’s impact on English language learners. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2022.100055

Godwin-Jones, R. (2022). Partnering with AI: Intelligent writing assistance and instructed language learning. Language Learning & Technology. https://doi.org/http://doi.org/10125/73474

Gupta, S., & Chen, Y. (2022). Supporting inclusive learning using Chatbots? a Chatbot-led interview study. Journal of Information Systems Education, 33(1), 98-108.

Han, B. (2019). Application of artificial intelligence in autonomous English learning among college students. International Journal of Emerging Technologies in Learning (IJET), 14(06), 63.

Handini, B. S., Nurhasanah, N., & Panly, F. I. (2022). The effect of artificial intelligent technology used (Duolingo application) to enhance English learning. ELLITE: Journal of English Language, Literature, and Teaching. 7(2), 85-94.

Hapsari, I. P., & Wu, T.-T. (2022). AI chatbots learning model in English speaking skill: Alleviating speaking anxiety, boosting enjoyment, and fostering critical thinking. In lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), 444-453.

Hertzberg, S., & Rudner, L. (1999). Quality of researchers’ searches of the ERIC database. Education Policy Analysis Archives, 7(25).

Heugh, K., French, M., Arya, V., Pham, M., Tudini, V., Billinghurst, N., Tippett, N., Chang, L., Nichols, J., & Viljoen, J. M. (2022). Multilingualism, translanguaging and transknowledging: Translation technology in EMI higher education. AILA Review, 35(1), 89-127.

Hockly, N. (2023). Artificial intelligence in English language teaching: The good, the bad and the ugly. RELC Journal: A journal of Language Teaching and Eesearch, 54(2), 445-451.

Hsu, L. (2022). To CALL or Not to CALL: Empirical evidence from neuroscience. Computer Assisted Language Learning, 35(4), 792-815.

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.

Hwang, W. Y., Nurtantyana, R., Purba, S. W. D., Hariyanti, U., Indrihapsari, Y., & Surjono, H. D. (2023). AI and recognition technologies to facilitate English as foreign language writing for supporting personalization and contextualization in authentic contexts. Journal of Educational Computing Research, 61(5), 8-35.

Jeon, J and 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), 73-92.

Kholis, A. (2021). Elsa speak app: Automatic speech recognition (ASR) for supplementing English pronunciation skills. Pedagogy: Journal of English Language Teaching, 9(1), 01.

Khoo, E., & Kang, S. (2022). Proactive learner empowerment: towards a transformative academic integrity approach for English language learners. International Journal for Educational Integrity, 18(24).

Kim, N. Y. (2022). AI-integrated mobile-assisted language learning: is it an effective way of preparing for the TOEIC test in classroom environments?. English Teaching, 77(3), 79-102.

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal: A Journal of Language Teaching and Research, 54(2), 537-550.

Lee, D., Kim, H., & Sung, S. (2023). Development research on an AI English learning support system to facilitate learner-generated-context-based learning. Educational Technology Research and Development, 71(2),629-666.

Lesia Viktorivna V. K., Andrii Oleksandrovych, V., Iryna Oleksandrivna, K., & Nadia Oleksandrivna, K. (2022). Artificial intelligence in language learning: What are we afraid of. World English Journal, 8, 262-273.

Lin, C., & Mubarok, H. (2021). Learning analytics for investigating the mind map-guided AI Chatbot approach in an EFL flipped speaking classroom. Educational Technology & Society, 24(4), 16-35.

Liu, P. L., & Chen, C. J. (2023). Using an AI-based object detection translation application for English vocabulary learning. Educational Technology & Society, 26(3), 5.

Majid, I., & Lakshmi, Y. V. (2022). Artificial intelligence in education. Online Submission, Indian Journal of Technical Education, 45(3), 11-16.

Malakul, S., & Park, I. (2023). The effects of using an auto-subtitle system in educational videos to facilitate learning for secondary school students: Learning comprehension, cognitive load, and satisfaction. Smart Learning Environments, 10(4).

McKnight, L. (2021). Electric sheep? humans, robots, artificial intelligence, and the future of writing. Changing English: Studies in Culture and Education, 28(4), 442-455.

Molenaar, I. (2022). Towards hybrid human-AI learning technologies. European Journal of Education, 57(4), 632-645.

Muñoz-Basols, J., Neville, C., Lafford, B. A., & Godev, C. (2023). Potentialities of applied translation for language learning in the era of artificial intelligence. Hispania, 106(2), 171-194.

Pack, A., & Maloney, J. (2023). Potential affordances of generative AI in language education: Demonstrations and an evaluative framework. Teaching English with Technology, (23)2, 4-24.

Pack, A., & Maloney, J. (2023). Using generative artificial intelligence for language education research: Insights from using OpenAI's ChatGPT. TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 57(4), 71-82.

Perkins, M. (2023). Academic integrity considerations of AI large language models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 2(7).

Lestari, S., Usadiati, W., & Misrita, M. (2022). The correlation between students’ artificial intelligence and their reading skills achievement. Bahasa: Jurnal Keilmuan Pendidikan Bahasa Dan Sastra Indonesia, 3(2), 103-111.

Robbins, J, B. (2001). ERIC: Mission, structure, and resources, Government Information Quarterly, 18(1), 5-17.

Rybinski, K., & Kopciuszewska, E. (2021). Will artificial intelligence revolutionise the student evaluation of teaching? A big data study of 1.6 million student reviews. Assessment & Evaluation in Higher Education, 46(7), 127-139.

Saadati, Z., Zeki, C. P., & Barenji, R., V. (2023). On the development of blockchain-based learning management system as a metacognitive tool to support self-regulation learning in online higher education. Interactive Learning Environments, 31(5), 48-71.

Salas-Pilco, S. Z., & Yang, Y. (2022). Artificial intelligence applications in Latin American higher education: A systematic review. International Journal of Educational Technology in Higher Education, 19(21).

Schäffer, B., & Lieder, F. R. (2023). Distributed interpretation - teaching reconstructive methods in the social sciences supported by artificial intelligence. Journal of Research on Technology in Education, 55(1), 111-124.

Shah, P. (2023). AI and the future of education: teaching in the age of artificial intelligence. https://eric.ed.gov/?q=Artificial+Intelligence+(AI)+in+English+Language+Teaching+ (ELT)&ff1=dtySince_2020&pg=2&id=ED635697

Sharadgah, T. A., & Sa'di, R. A. (2022). A systematic review of research on the use of artificial intelligence in English language teaching and learning (2015-2021): What are the current effects?. Journal of Information Technology Education: Research, 21,337-377.

Shim, K. J., Menkhoff, T., Teo, L. Y. Q., & Ong, C. S. Qi. (2023). Assessing the effectiveness of a Chatbot workshop as experiential teaching and learning tool to engage undergraduate students. Education and Information Technologies, 28(12), 65-88.

Stockdale, J. G. III. (2022). A dictionary and thesaurus of contemporary figurative language and metaphor 2022. https://eric.ed.gov/?q=Artificial+Intelligence+(AI)+in+English+Language+Teaching+(ELT)&ff1=dtySince_2020&pg=4&id=ED619049

Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2022). Artificial intelligence in EFL classrooms: friend or foe?. LEARN Journal: Language Education and Acquisition Research Network, 15(14), 232-256.

Sumo, D. S., & Bah, M. L. (2021). Chinese language education in the era of artificial intelligence; innovation development, pedagogy & the smart classroom. Education Quarterly Reviews, 4(4), 264-270.

Tai, T. Y., & Chen, H. H. J. (2023). The impact of Google assistant on adolescent EFL learners' willingness to communicate. Interactive Learning Environments, 31(3), 485-502.

Tantucci, V., & Wang, A. (2022). Resonance as an applied predictor of cross-cultural interaction: Constructional priming in Mandarin and American English interaction. Applied Linguistics, 43(1), 115-146.

Taylor, L. (2023). The future of artificial intelligence in language education: Trends and prospects. Language Teaching, 56(1), 1-20

Tülübas, T., Demirkol, M., Ozdemir, T. Y., Polat, H., Karakose, T., & Yirci, R. (2023). An interview with ChatGPT on emergency remote teaching: A comparative analysis based on human-AI collaboration. Educational Process: International Journal, 12(2), 93-110.

Vittorini, P., Menini, S. & Tonelli, S. (2021). An AI-based system for formative and summative assessment in data science courses. International Journal of Artificial Intelligence in Education, 32(2), 159-185.

Wallwork, A. (2023). English for academic research: Grammar, usage and style. second edition. English for Academic Research. https://eric.ed.gov/?q=Artificial+Intelligence+(AI)+in+ English+Language+Teaching+(ELT)&ff1=dtySince_2020&pg=5&id=ED632567

Wu, L., Wu, Y., & Xiang, Y. (2021). L2 learner cognitive psychological factors about artificial intelligence writing corrective feedback. English Language Teaching, 14(10), 70-83.

Xu, B., Margevica-Grinberga, I. (2021). A discourse on innovation of English teaching in China from the perspective of artificial intelligence. Cypriot Journal of Educational Sciences, 16(5), 13-23.

Xu, X., Dugdale, D. M., Wei, X., & Mi, W. (2023). Leveraging artificial intelligence to predict young learner online learning engagement. American Journal of Distance Education, 37(3), 185-198.

Yang, H., & Kyun, S. (2022). The current research trend of artificial intelligence in language learning: A systematic empirical literature review from an activity theory perspective. Australasian Journal of Educational Technology, 38(5), 180-210.

Yang, H., Kim, H., Lee, J., & Shin, D. (2022). Implementation of an AI Chatbot as an English conversation partner in EFL speaking classes. ReCALL, 34(3), 327-343.

Yang, J. (2023). Preparing for the new era of artificial intelligence: My experience of artificial intelligence in advertising. Journal of Advertising Education, 27(2), 101-116.

Zhao, R., Zhuang, Y., Zou, D., Xie, Q., & Yu, P. L. H. (2023). AI-assisted automated scoring of picture-cued writing tasks for language assessment. Education and Information Technologies, 28(6), 31-63.

Zhou, J. (2020). “Design of AI-based self-learning platform for college English listening” Proceeding of Research, 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2020. https://doi.org/10.1109/MLBDBI51377.2020.00114

Downloads

Published

2024-04-25

How to Cite

Boonchom, W., Piyanukool, S., & Prachanant, N. (2024). Trends of Using Artificial Intelligence (AI) Technologies in Research Studies of English Language Teaching. BRU ELT JOURNAL, 2(1), 34–50. https://doi.org/10.14456/bej.2024.3