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

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.

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