Publications
Code · Zenodo · August 26, 2026
AI-TPACK-LX: Reproducible Psychometric Analysis
Zhanat Rysbayevna Umarova, Nurzhan Imankul
Abstract
This release contains the R code used for the initial psychometric evaluation of the AI-TPACK-LX questionnaire. The analysis includes confirmatory factor analysis, model-fit indices, standardized factor loadings, internal-consistency estimates, composite reliability, average variance extracted, the Fornell–Larcker criterion, HTMT, and descriptive statistics.
Psychometric Methodologies and TestingArtificial Intelligence in EducationHealth Education and ValidationAI-TPACKAI literacyquestionnaire validation
More by Zhanat Umarova
- A HYBRID MACHINE LEARNING APPROACH FOR REAL-TIME FORECASTING OF MINUTE-LEVEL SEISMIC SIGNAL AMPLITUDESVestnik of M Kozybayev North Kazakhstan University · 2026
- An explainable AI approach based on XGBoost for leadership index predictionBulletin of the National Engineering Academy of the Republic of Kazakhstan · 2026
- A PARTIALLY CONTROLLED EVALUATION PROTOCOL FOR TRAJECTORY FORECASTING MODELS: RETHINKING COMPARABILITY IN DEEP LEARNING BENCHMARKSВестник КазАТК · 2026
- Recycled Polymer Orthoses for Post-Stroke Neurorehabilitation in Kazakhstan: Development and Biomechanical Evaluation of Low-Cost 3D-Printed OrthosesZenodo · 2026
