HUMAN–AI COLLABORATION IN LANGUAGE LEARNING: A LINGUO-COGNITIVE PERSPECTIVE
Main Article Content
Аннотация:
The growing integration of artificial intelligence (AI) in English language teaching has created new opportunities for supporting both language proficiency and cognitive development. This review article examines human–AI collaboration from a linguo-cognitive perspective, focusing on how AI can contribute to learners’ critical thinking, problem-solving, decision-making, and metacognitive awareness. Recent studies indicate that AI tools can function as collaborative partners by providing feedback, dialogue, and scaffolding. However, research also warns that uncritical reliance on AI may lead to superficial learning and reduced cognitive effort. The literature suggests that meaningful learning occurs when students actively evaluate AI outputs, maintain agency in decision-making, and engage in structured reflection. Ethical awareness and responsible use of AI are also essential components of linguo-cognitive competence. The article concludes that AI has educational value not as an automatic solution but as a cognitive partner when supported by thoughtful pedagogical design and teacher mediation. Human–AI collaboration, when properly structured, can promote reflective and cognitively engaged language learning.
Article Details
Как цитировать:
Библиографические ссылки:
Akinnagbe, O. B. (2024). Human-AI collaboration: Enhancing productivity and decision-making. International Journal of Education Management and Technology, 2(3), 387–417. https://doi.org/10.58578/ijemt.v2i3.4209
Amershi, S., Weld, D., Vorvoreanu, M., et al. (2019). Guidelines for human–AI interaction. Proceedings of the CHI Conference on Human Factors in Computing Systems, 1–13. https://doi.org/10.1145/3290605.3300233
Barnes, M., & Tour, E. (2025). Teachers’ use of generative AI: A “dirty little secret”? Language and Education. https://doi.org/10.1080/09500782.2025.2485935
Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57, 100745. https://doi.org/10.1016/j.asw.2023.100745
Binns, R. (2018). Exploring AI ethics: Principles, practices, and future challenges. AI and Ethics, 1(1), 1–9. https://doi.org/10.1007/s43681-021-00003-7
Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can’t (yet). McKinsey Quarterly. https://www.mckinsey.com
Godwin-Jones, R. (2022). Partnering with AI: Intelligent writing assistance and instructed language learning. Language Learning & Technology, 26(2), 5–24. http://doi.org/10125/73474
Godwin-Jones, R. (2024). Distributed agency in language learning and teaching through generative AI. Language Learning & Technology, 28(2), 4–31. https://hdl.handle.net/10125/73570
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., & Zawacki-Richter, O. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Poláková, P., & Ivenz, P. (2024). The impact of ChatGPT feedback on the development of EFL students’ writing skills: A mixed-methods study. English Teaching & Learning (preprint). https://www.researchgate.net/publication/384538195
Stockwell, G., & Wang, Y. (2025). Framing human-AI collaboration in language education. Technology in Language Teaching & Learning, 7(4), 103824. https://doi.org/10.29140/tltl.v7n4.103824
Vaccaro, M., & Waldo, J. (2024). When combinations of humans and AI are useful: A systematic review and meta-analysis. Nature Human Behaviour. https://doi.org/10.1038/s41562-024-02024-1
Wagner, J. A. (1995). Studies of individualism-collectivism: Effects on cooperation in groups. Academy of Management Journal, 38(1), 152–173. https://www.jstor.org/stable/256731
Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the potential impact of artificial intelligence on international students in higher education. Applied Sciences, 13(11), 6716. https://doi.org/10.3390/app13116716
Wang, Y. (2024). Cognitive and sociocultural dynamics of self-regulated use of machine translation and generative AI tools in academic EFL writing. System, 126, 103505. https://doi.org/10.1016/j.system.2024.103505
Wang, Y., Zhang, T., Yao, L., & Seedhouse, P. (2025). A scoping review of empirical studies on generative artificial intelligence in language education. Innovation in Language Learning and Teaching. https://doi.org/10.1080/17501229.2025.2509759
