INTEGRATING AI AND ANTHROPOCENTRIC FRAMEWORKS IN LEGAL LANGUAGE TEACHING: INSIGHTS FROM UZBEK LEGAL CORPORA
DOI:
https://doi.org/10.55640/Keywords:
digital education, legal language, anthropocentrism, artificial intelligence, Uzbek legal textsAbstract
This paper explores teaching legal language in digital learning environments through an anthropocentric and AI-assisted analysis of Uzbek legal texts. The study shows how human-centered features of legal language—roles, responsibilities, and institutional references—can be identified and adapted for digital instruction. Combining AI tools with pedagogical interpretation enhances learners’ understanding and engagement. The findings provide practical insights for digital legal education and AI-supported teaching.
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1.Kubryakova, E. S. Language and Cognition. Moscow, 2004.
2.Karasik, V. I. Language, Personality, and Discourse. Volgograd, 2002.
3.Tiersma, P. Legal Language. Chicago: University of Chicago Press, 1999.
4.McEnery, T., & Hardie, A. Corpus Linguistics. Cambridge University Press, 2012.
5.Holmes, W., Bialik, M., & Fadel, C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. MIT Press, 2019.
6.Shamsitdinova, M. Incorporating Natural Language Processing Technologies for Personalized Language Learning Experience. International Journal of Law And Criminology, 2025.
7.Aliyeva, E. E., & Mirkasimova, Z. A. Artificial Intelligence in Education. Lingvospektr, 12(2), 214–218, 2025.
8.Jurafsky, D., & Martin, J. H. Speech and Language Processing. 3rd Edition. Pearson, 2023.
9.Bender, E. M., & Koller, A. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data. 2020.
10.Chalkidis, I., Androutsopoulos, I., & Michos, A. LEGAL-BERT: The Muppets Straight Out of Law School. ACM Conference on AI and Law, 2020.
11.Lan, Y., Li, X., Du, H., Lu, X., Gao, M., & Qian, W. Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends. arXiv, 2024.
12.Pedagogical Implications of AI-Assisted Learning Systems in Higher Education. Journal of Educational Technology, 2023.
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