Social Sciences | Open Access | DOI: https://doi.org/10.37547/tajssei/Volume08Issue04-04

Diagnostics of Determining Tolerant Behavior of Students in The Process of Teaching the German Language Based on Artificial Intelligence

Narshabaeva A.Yu. , Associate Professor, PhD, Department of Philology, University of Innovative Technologies, Uzbekistan

Abstract

The article examines theoretical and methodological foundations and practical opportunities for applying artificial intelligence technologies to diagnose tolerant behavior among students learning German. The necessity of digitalizing pedagogical assessment procedures in the context of higher education transformation is substantiated. A model integrating AI tools into the analysis of students’ speech production, questionnaires, and learning activities is presented. It is demonstrated that intelligent data-processing algorithms enhance objectivity, validity, and dynamic monitoring of cognitive, behavioral, and reflective components of tolerance.

Keywords

Artificial intelligence, German language, pedagogical diagnostics

References

Baidenko V. I. Competency-based approach in higher education: methodological foundations and implementation problems. - M.: Research Center for Quality Problems of Specialist Training, 2004. - 208 p.

Nurmatov S. Kh. Use of Information and Communication Technologies in Teaching English at Universities. - INTERNATIONAL CONFERENCE OF ACADEMIC SCIENCES: collection of scientific articles of the International Scientific Conference (August 30, 2022) - Ulan-Ude, Russia: "AID," 2022.: 9-12 p.

Selevko G. K. Encyclopedia of Educational Technologies. - M.: Research Institute of School Technologies, 2006. - 816 p.

Ter-Minasova S. G. Language and intercultural communication. - M.: Word, 2000. - 624 p.

Khutorskoy A. V. Modern Didactics. - St. Petersburg: Piter, 2001. - 544 p.

Dörnyei Z. Research Methods in Applied Linguistics: Quantitative, Qualitative, and Mixed Methodologies. - Oxford: Oxford University Press, 2007. - 336 p.

Hockly N. Focus on Learning Technologies. - Oxford: Oxford University Press, 2018. - 192 p.

Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. - Boston: Center for Curriculum Redesign, 2019. - 248 p.

Issaboeva M., Juraeva M., Nurmatov S. Digital technologies in higher education: the case of Uzbekistan’s universities // Asia Pacific Journal of Education, Arts and Sciences. - 2022. - Vol. 9, No. 1. - P. 23-31.

Liu J. Artificial intelligence-enhanced language learning and intercultural communication competence // Humanities & Social Sciences Communications. – 2025. – Vol. 12. – P. 1–12.

Luckin R. Machine Learning and Human Intelligence: The Future of Education for the 21st Century. - London: UCL IOE Press, 2018. - 256 p.

Klieme E. Bildungsstandards und Kompetenzorientierung. - Weinheim: Beltz, 2007. - 312 S.

Selwyn N. Should Robots Replace Teachers? AI and the Future of Education. - Cambridge: Polity Press, 2019. - 140 p.

Zawacki-Richter O., Marín V. I., Bond M., Gouverneur F. Systematic review of research on artificial intelligence applications in higher education - where are the educators? // International Journal of Educational Technology in Higher Education. - 2019. - Vol. 16. - Article 39. - 27 p.

UNESCO. Artificial Intelligence in Education: Guidance for Policy-makers. - Paris: UNESCO, 2021. - 45 p.

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Narshabaeva A.Yu. (2026). Diagnostics of Determining Tolerant Behavior of Students in The Process of Teaching the German Language Based on Artificial Intelligence. The American Journal of Social Science and Education Innovations, 8(04), 21–24. https://doi.org/10.37547/tajssei/Volume08Issue04-04