Journal of Pedagogical Sociology and Psychology
Reframing GenAI-mediated EFL speaking: A systematic review of empirical studies through an Activity Theory lens
Tiantian Tang 1, Supyan Hussin 1 *
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1 Faculty of Education, Universiti Kebangsaan Malaysia, Bangi, Malaysia
* Corresponding Author
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Journal of Pedagogical Sociology and Psychology, Online First, pp. -
https://doi.org/10.33902/JPSP.202648559

Article Type: Literature Review

Published Online: 25 Oct 2026

Views: 1 | Downloads: 2

ABSTRACT
The rapid development of generative artificial intelligence (GenAI) has created more possibilities for English as a foreign language education. Through its generative capabilities, particularly in natural language generation and processing, GenAI has introduced new modes of interaction for learners’ speaking development. However, empirical research on GenAI-mediated EFL speaking remains fragmented. Guided by PRISMA 2020, this systematic review synthesizes 43 empirical studies published between 2024 and 2026 to examine the trends, application methods, and challenges of GenAI-mediated EFL speaking activities. Findings indicate that research has focused primarily on mainland China and intermediate-level undergraduate learners, with ChatGPT as the most frequently used tool. GenAI was commonly used to provide personalized practice and immediate feedback in a comparatively low-pressure environment. Most studies reported positive outcomes, but findings varied. Behavioral outcomes received less attention than cognitive and affective aspects. Challenges mainly involved inauthentic interaction and limited feedback. Tensions are mainly from tools and subjects, as well as tools and objects from an Activity Theory lens. Based on these tensions, this study proposes a collaborative learning framework to provide complementary mediation in EFL speaking activities.
KEYWORDS
Active Theory collaborative learning English as a foreign language generative artificial intelligence speaking activities systematic literature review
In-text citation: (Tang & Hussin, 2026)
Reference: Tang, T., & Hussin, S. (2026). Reframing GenAI-mediated EFL speaking: A systematic review of empirical studies through an Activity Theory lens. Journal of Pedagogical Sociology and Psychology. https://doi.org/10.33902/JPSP.202648559
In-text citation: (1), (2), (3), etc.
Reference: Tang T, Hussin S. Reframing GenAI-mediated EFL speaking: A systematic review of empirical studies through an Activity Theory lens. Journal of Pedagogical Sociology and Psychology. 2026. https://doi.org/10.33902/JPSP.202648559
In-text citation: (1), (2), (3), etc.
Reference: Tang T, Hussin S. Reframing GenAI-mediated EFL speaking: A systematic review of empirical studies through an Activity Theory lens. Journal of Pedagogical Sociology and Psychology. 2026. https://doi.org/10.33902/JPSP.202648559
In-text citation: (Tang and Hussin, 2026)
Reference: Tang, Tiantian, and Supyan Hussin. "Reframing GenAI-mediated EFL speaking: A systematic review of empirical studies through an Activity Theory lens". Journal of Pedagogical Sociology and Psychology (2026). https://doi.org/10.33902/JPSP.202648559
In-text citation: (Tang and Hussin, 2026)
Reference: Tang, T., and Hussin, S. (2026). Reframing GenAI-mediated EFL speaking: A systematic review of empirical studies through an Activity Theory lens. Journal of Pedagogical Sociology and Psychology. https://doi.org/10.33902/JPSP.202648559
In-text citation: (Tang and Hussin, 2026)
Reference: Tang, Tiantian et al. "Reframing GenAI-mediated EFL speaking: A systematic review of empirical studies through an Activity Theory lens". Journal of Pedagogical Sociology and Psychology, 2026. https://doi.org/10.33902/JPSP.202648559
REFERENCES
  • Chen, A., Jia, J., Li, Y., & Fu, L. (2025). Investigating the effect of role-play activity with GenAI agent on EFL students’ speaking performance. Journal of Educational Computing Research, 63(1), 99-125. https://doi.org/10.1177/07356331241299058
  • Chen, X., Zou, D., Cheng, G., & Xie, H. (2021, July). Artificial intelligence-assisted personalized language learning: systematic review and co-citation analysis. In M. Chang, N.-S. Chen, D. G. Sampson, & A. Tlili (Eds.), 2021 international conference on advanced learning technologies (ICALT) (pp. 241-245). IEEE. https://doi.org/10.1109/icalt52272.2021.00079
  • Cui, W., & Zhang, J. (2026). AI applications in language learning: improving speaking fluency and pronunciation using chatbots and speech feedback. Interactive Learning Environments, 34(4), 2531-2546. https://doi.org/10.1080/10494820.2025.2546634
  • Doğan, Y., & Talan, T. (2025). Artificial intelligence in foreign language learning: A bibliometric analysis. Journal of Pedagogical Research, 9(2), 206–230. https://doi.org/10.33902/JPR.202427734
  • Ebadi, S., Velayati, S., Ramezanzadeh, A., & Salman, A. R. (2025). Exploring the impact of AI-powered speaking tasks on EFL learners' speaking performance and anxiety: An activity theory study. Acta Psychologica, 259, 105391. https://doi.org/10.1016/j.actpsy.2025.105391
  • Engeström, Y. (2014). Learning by expanding: An activity-theoretical approach to developmental research. Cambridge University Press. https://doi.org/10.1017/CBO9781139814744
  • Fathi, J., Rahimi, M., & Derakhshan, A. (2024). Improving EFL learners’ speaking skills and willingness to communicate via artificial intelligence-mediated interactions. System, 121, 103254. https://doi.org/10.1016/j.system.2024.103254
  • Gonçalves, B. (2023). Can machines think? The controversy that led to the Turing test. AI & Society, 38(6), 2499-2509. https://doi.org/10.1007/s00146-021-01318-6
  • Guo, S., Wong, R., & Lee, J. S. (2026). From sporadic to sustained: Facilitating AI-mediated informal digital learning of English (AI-IDLE) speaking practice through a teacher support framework. Innovation in Language Learning and Teaching. Advance online publication. https://doi.org/10.1080/17501229.2026.2642395
  • Gusenbauer, M., & Haddaway, N. R. (2020). Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Research synthesis methods, 11(2), 181-217. https://doi.org/10.1002/jrsm.1378
  • Hong, Q. N., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., Gagnon, M. P., Griffiths, F., Nicolau, B., O’Cathain, A., Rousseau, M. C., Vedel, I., & Pluye, P. (2018). The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Education for information, 34(4), 285-291. https://doi.org/10.3233/efi-180221
  • 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).0009
  • Hwang, G. J., & Chen, N. S. (2023). Exploring the potential of generative artificial intelligence in education: applications, challenges, and future research directions. Educational Technology & Society, 26(2), 1-18. https://doi.org/10.30191/ETS.202304_26(2).0014
  • Kayhan, S. (2025). The effect of intervention studies on foreign language speaking anxiety: A meta-analysis study. Journal of Pedagogical Research, 9(3), 62–83. https://doi.org/10.33902/JPR.202533156
  • Kim, H. S., Kim, N. Y., & Cha, Y. J. (2021). Is it beneficial to use AI chatbots to improve learners’ speaking performance?. Journal of Asia TEFL, 18(1), 161-178. https://doi.org/10.18823/asiatefl.2021.18.1.10.161
  • Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537–550. https://doi.org/10.1177/00336882231162868
  • Koszalka, T. A., & Wu, C. P. (2004). A cultural historical activity theory [CHAT] analysis of technology integration: Case study of two teachers (ED485000). ERIC.
  • Krathwohl, D. R. (2002). A revision of bloom’s taxonomy: An overview. Theory Into Practice, 41(4), 212–218. https://doi.org/10.1207/s15430421tip4104_2
  • Lai, W. Y. W., & Lee, J. S. (2024). A systematic review of conversational AI tools in ELT: Publication trends, tools, research methods, learning outcomes, and antecedents. Computers and Education: Artificial Intelligence, 7, 100291. https://doi.org/10.1016/j.caeai.2024.100291
  • Lee, J. (2025). Speaking English with AI or Humans: What Engages EFL Learners More?. English Teaching, 80(5), 41-66. https://doi.org/10.15858/engtea.80.5.202512.41
  • Li, B., Tan, Y. L., Wang, C., & Lowell, V. (2025). Two years of innovation: A systematic review of empirical GenAI research in language learning and teaching. Computers and Education: Artificial Intelligence, 9, 100445. https://doi.org/10.1016/j.caeai.2025.100445
  • Liu, H., Lv, C., & Chen, J. (2025). Willingness to communicate and anxiety in human–human and human–chatbot interaction contexts: An idiodynamic investigation. Innovation in Language Learning and Teaching. Advance online publication. https://doi.org/10.1080/17501229.2025.2560101
  • Liu, X., Tang, Q., Wu, W., Chen, X., & Wang, C. (2026). GenAI-agents in education: A systematic review of macro-level trends, educational roles, theoretical foundations and future agendas. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2026.2672562
  • Ma, M., Noordin, N., & Razali, A. B. (2025). Improving EFL speaking performance among undergraduate students with an AI-powered mobile app in after-class assignments: An empirical investigation. Humanities and Social Sciences Communications, 12, Article 370. https://doi.org/10.1057/s41599-025-04688-0
  • McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the Dartmouth summer research project on artificial intelligence, August 31, 1955. AI magazine, 27(4), 12-14. https://doi.org/10.1609/aimag.v27i4.1904
  • Nguyen, D. T., Vu, P. X., & Loi, N. T. (2026). Understanding school-related well-being in primary education: A systematic review and integrated framework. Journal of Pedagogical Sociology and Psychology, 8(3), e47001. https://doi.org/10.33902/JPSP.202647001
  • Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71
  • Russell, S. J., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
  • Snowman, J., McCown, R., & Biehler, R. (2011). Psychology applied to teaching (13thed.). Wadsworth Cengage Learning.
  • Tai, T.-Y. (2026). ChatGPT-assisted EFL learning beyond the classroom: Impact on oral proficiency, enjoyment, and grit. Computer Assisted Language Learning. Advance online publication. https://doi.org/10.1080/09588221.2026.2640087
  • Tai, T.-Y., & Chen, H. H.-J. (2025). Impact of generative AI chatbots and interaction modes on the speaking proficiency of adolescent EFL learners. Computer Assisted Language Learning. Advance online publication. https://doi.org/10.1080/09588221.2025.2572999
  • Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433–460. https://doi.org/10.1093/mind/LIX.236.433
  • Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
  • Wang, C., Zou, B., Du, Y., & Wang, Z. (2024). The impact of different conversational Generative AI chatbots on EFL learners: An analysis of willingness to communicate, foreign language speaking anxiety, and self-perceived communicative competence. System, 127, 103533. https://doi.org/10.1016/j.system.2024.103533
  • Weizenbaum, J. (1966). ELIZA—A computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36–45. https://doi.org/10.1145/365153.365168
  • Wu, T. T., Hapsari, I. P., & Huang, Y. M. (2026). Effects of incorporating AI chatbots into think–pair–share activities on EFL speaking anxiety, language enjoyment, and speaking performance. Computer Assisted Language Learning, 39(5-6), 1408-1446. https://doi.org/10.1080/09588221.2025.2478271
  • Xing, C., & Saeed, M. A. (2026). A systematic review on artificial intelligence (AI) technologies in ESL/EFL speaking skills. International Journal of TESOL Studies, 8(2), 240–270. https://doi.org/10.58304/ijts.250908
  • 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. https://doi.org/10.14742/ajet.7492
  • 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, 4, 100134. https://doi.org/10.1016/j.caeai.2023.100134
  • Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J. B., Yuan, J., & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021(1), 8812542. https://doi.org/10.1155/2021/8812542
  • Zhang, H., Su, Y., Xu, X., Lei, V. N. L., & Hao, S. (2025). Beyond theory: A mixed-methods exploration of postgraduate engagement with ChatGPT for English speaking proficiency. International Journal of Technology in Education, 8(4), 1022-1047. https://doi.org/10.46328/ijte.1221
  • Zhang, W. (2026). The impact of AI chatbots on EFL learners’ oral proficiency and willingness to communicate. System, 136, 103919. https://doi.org/10.1016/j.system.2025.103919
  • Zheng, X. L., Kim, H. S., Lai, W. H., & Hwang, G. J. (2020). Cognitive regulations in ICT‐supported flipped classroom interactions: An activity theory perspective. British Journal of Educational Technology, 51(1), 103–130. https://doi.org/10.1111/bjet.12763
  • Zhou, Q., Hashim, H., & Sulaiman, N. A. (2023). A Systemic Review (2014-2023) on the Mobile-Assisted Blended Learning for English as a Foreign Language Education with a Focus on Empirical Studies. International Journal of Interactive Mobile Technologies, 17(24), 153-172. https://doi.org/10.3991/ijim.v17i24.42019
  • Zhou, Q., Hashim, H., & Sulaiman, N. A. (2025). Supporting English speaking practice in higher education: The impact of AI chatbot-integrated mobile-assisted blended learning framework. Education and Information Technologies, 30(10), 14629-14660. https://doi.org/10.1007/s10639-025-13401-2
  • Zou, B., Xie, S., & Wang, C. (2025). Students’ willingness to Communicate (WTC) in using artificial intelligence (AI) technology in English-speaking practice. International Journal of Information and Communication Technology Education, 21(1), 1-18. https://doi.org/10.4018/IJICTE.375387
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