THE ROLE OF ARTIFICIAL INTELLIGENCE TOOLS IN THE MODULAR STRUCTURE OF A FOREIGN LANGUAGE TEACHING PLATFORM BASED ON COGNITIVE AND CONSTRUCTIVIST APPROACHES (GENERATIVE AI, NLP)
https://doi.org/10.5281/zenodo.20432350
Keywords:
cognitive language learning, constructivism, modular platform, generative AI, NLP, adaptive teachingAbstract
This article develops a modular architecture of a foreign language teaching platform based on cognitive and constructivist approaches. The proposed model consists of basic and auxiliary modules. The functional role of generative artificial intelligence and natural language processing tools is analyzed.
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Almelhes, S. A. (2021). Integrating technology acceptance models into language learning technologies. Education and Information Technologies, 26(6), 7157–7174.
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537–550.
Paas, F., & van Merriënboer, J. J. G. (2020). Cognitive-load theory: Methods to manage working memory load in the learning process. Educational Psychologist, 55(1), 1–14.
Zhang, Y., & Zou, D. (2022). Technology-enhanced collaborative language learning: A review of recent practices and research. Computer Assisted Language Learning, 35(8), 1795–1823.
Huang, X., Zou, D., Cheng, G., & Xie, H. (2021). A systematic review of AR and VR enhanced language learning. Sustainability, 13(9), 4639.
Ellis, R., & Shintani, N. (2021). Exploring Language Pedagogy through Second Language Acquisition Research. Routledge.
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