ISSN: 2226-6348
Open access
Generative artificial intelligence is rapidly reshaping the landscape of second language learning by offering immediate linguistic support, automated feedback, and opportunities for interactive practice. While research has documented its pedagogical potential and its influence on learner affect, far less attention has been paid to the cognitive mechanisms through which AI affects learning processes. This article adopts Cognitive Load Theory as an analytical framework to examine how generative AI modifies the distribution of intrinsic, extraneous, and germane cognitive load during L2 learning tasks. By synthesizing findings from studies on conversational AI, human–AI interaction, digital communication, and AI-enhanced learning environments, the review shows that AI can reduce unnecessary cognitive burden, make complex tasks more manageable, and facilitate deeper processing under appropriate conditions. At the same time, AI may introduce new sources of cognitive strain or encourage superficial engagement when learners rely uncritically on its output. The review further discusses the instructional implications of these patterns, emphasizing the roles of task design, teacher orchestration, and emotional factors in regulating cognitive load. It concludes by identifying key directions for future research, including longitudinal analyses, individual differences, and the integration of cognitive and social perspectives. Overall, the cognitive load lens provides a productive foundation for understanding both the opportunities and the constraints of generative AI in L2 learning.
Bargh, J. A., & Chartrand, T. L. (2000). The mind in the middle: A social–cognitive model of automaticity. Annual Review of Psychology, 51(1), 259–287.
Belda-Medina, J., & Calvo-Ferrer, J. R. (2022). Using chatbots as AI conversational partners in language learning. Applied Sciences, 12, 8427. https://doi.org/10.3390/app12178427
Dewaele, J. M., & MacIntyre, P. D. (2014). The two faces of Janus? Anxiety and enjoyment in the foreign language classroom. Studies in Second Language Learning and Teaching, 4(2), 237–274.
Fehrenbach, N. R. (2020). An overview of SLA theories with a focus on the affective filter hypothesis (Master’s thesis). University of Alaska Fairbanks.
Holstein, K., McLaren, B. M., & Aleven, V. (2019). Designing for complementarity: Teacher and student needs for orchestration support in AI-enhanced classrooms. International Journal of Artificial Intelligence in Education, 29, 1–35.
Horwitz, E. K., Horwitz, M. B., & Cope, J. (1986). Foreign language classroom anxiety. The Modern Language Journal, 70(2), 125–132.
Ji, H., Han, I., & Ko, Y. (2022). A systematic review of conversational AI in language education: Focusing on the collaboration with human teachers. Journal of Research on Technology in Education, Advance online publication. https://doi.org/10.1080/15391523.2022.2142873
Krashen, S. D. (1982). Principles and practice in second language acquisition. Oxford: Pergamon.
Lee, J. S., & Chiu, M. M. (2023). Modeling EFL learners’ willingness to communicate: The roles of face-to-face and digital L2 communication anxiety. Studies in Second Language Acquisition, Advance online publication. https://doi.org/10.1017/S0267190523000090
Nass, C., & Moon, Y. (2000). Machines and mindlessness: Social responses to computers. Journal of Social Issues, 56(1), 81–103.
Nass, C., Steuer, J., & Tauber, E. R. (1994). Computers are social actors. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 72–78).
Ruan, S., Jiang, L., Xu, Q., Davis, G. M., Liu, Z., Brunskill, E., & Landay, J. A. (2021). EnglishBot: An AI-powered conversational system for second language learning. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). https://doi.org/10.1145/3397481.3450648
Semerikov, S. O., Striuk, A. M., & Shalatska, H. M. (2021). AI-assisted language education: A critical review. Educational Dimension, 62(3), 74–91. https://doi.org/10.31812/ed.623
Sweller, J., van Merriënboer, J., & Paas, F. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251–296.
Yan, H., & Li, S. (2022). The role of teachers in emotional regulation and student engagement in second language acquisition: A positive psychology perspective on teaching communication strategies. International Journal of Network Dynamics in Education, 6(6), 118–125.
Zhou, X., & Schofield, L. (2023). Using social learning theories to explore the role of generative artificial intelligence in collaborative learning. Journal of Learning Development in Higher Education, 30, Article 1031. https://doi.org/10.47408/jldhe.vi30.1031
Li, C., & Alias, A. (2025). Generative Artificial Intelligence and Cognitive Load in Second Language Learning: A Narrative Review. International Journal of Academic Research in Progressive Education and Development, 14(4), 2459–2465.
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