Priority areas for applying artificial intelligence to pedagogical education

English

STUDENTS INDEPENDENT WORKIIN THE EVALUATION SYSTEM ARTIFICIAL INTELLIGENCE TECHNOLOGIES POPULARIZATION

Published
25.04.2026
Journal
Priority areas for applying artificial intelligence to pedagogical education
Issue
Priority areas for applying artificial intelligence to pedagogical education
Pages
324-326
DOI
10.5281/zenodo.19829038

Authors

Abstract

This thesis students independel work accepting and acceptance sartific’ial intelligence based accepting and acceptance conveniences about will be. Students higher education process independent works submission and acceptance and acceptance artificial intelligence usage

Keywords

artificial intelligence independent works epistemic balance mathematical model student metacognition

References

1. Uzbekistan Republic of of the President of October 8, 2019, “Uzbekistan Republic of higher education system 2030 until development concept approval on PF-5847-No. Decree.
2. Ergashev, A. (2025). Artificial intelligence technologies through assessment system improvement. Universal international scientific journal, 2(4.2), 91–94
3. Rashidxon Uulu Atabek. Students' independent work reproductive and creative components mutual connection ensuring pedagogical missue as/Namangan State Pedagogical Institute “Education and Development” scientific- methodological journal 2026, Issue 2, p. 84
4. Aliqulov, A. (2025). Artificial intelligence technologies' higher education assessment system integration. Economic development and analysis, 2025 June
5. Vohidov, S. B. (2025). Artificial intelligence based students' scientific knowledge development. Artificial intelligence pedagogical education integration doing: problem and solutions international scientific-practical conference materials. Andijan.
6. Bloom, B. S. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals. New York: Longmans & Green.
7. Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard University Press.
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