Priority areas for applying artificial intelligence to pedagogical education

The International Scientific and Practical Conference entitled “Priority Directions for the Integration of Artificial Intelligence into Pedagogical Education” was organized by the Department of Intellectual Sciences and Information Technologies of Namangan State Pedagogical Institute on April 24–25, 2026

1+ Issues
185+ Articles
269+ Participants
English

ASSESSING THE INTERDEPENDENCE OF REPRODUCTIVE AND CREATIVE COMPONENTS OF STUDENTS’ INDEPENDENT WORK: AN EPISTEMIC-INTEGRATIVE DIAGNOSTIC MODEL AND EXPERIMENTAL EVIDENCE FROM PEDAGOGY COURSES IN UZBEKISTAN

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
1084-1092
DOI
10.5281/zenodo.24128283

Authors

Abstract

Independent work occupies a growing share of credit-module curricula in Uzbek higher education, yet it is still assessed mostly by final grades that cannot show how reproduced knowledge becomes a justified creative product. This article proposes an epistemic-integrative diagnostic model that evaluates four components of independent work: reproductive-cognitive (R), creative-transformative (C), epistemic-verificational (E) and metacognitive-reflective (M). Each component is measured by four indicators on a 0–3 analytic scale; their interdependence is expressed by a harmonic coherence coefficient, a weighted epistemic integration index and a reproductive–creative imbalance indicator. The model was embedded in a five-stage instructional procedure and tested in the course “General Pedagogy” at three higher education institutions (experimental group n = 267, control group n = 268). The groups were equivalent at the start (mean 3.36 and 3.35). After the intervention the experimental group scored 3.79 and the control group 3.36 (Welch t = 6.65, p < 0.001; Mann–Whitney p < 0.001; Cohen’s d = 0.58); grades 4–5 were obtained by 68.5% and 36.6% of students respectively. Because the experiment used course grades, the component-level indicators remain to be validated in future work.

Keywords

independent work reproductive and creative components epistemic verification analytic rubric harmonic coherence coefficient diagnostic matrix pedagogical experiment

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