MEASURING THE EFFECTIVENESS OF PEDAGOGICAL DIAGNOSTICS THROUGH ARTIFICIAL INTELLIGENCE: RESEARCH AND PRACTICAL ANALYSIS

Authors

  • Sultanova Dildora Ilhomjon qizi Assistant, Andijan State Technical Institute

Keywords:

Artificial Intelligence, Pedagogical Diagnostics, Educational Effectiveness, Machine Learning, Data Analysis, Student Assessment, Teaching Quality, Intelligent Systems, Educational Measurement, Learning Analytics

Abstract

This scientific article explores methods for evaluating the effectiveness of artificial intelligence (AI)-based diagnostic systems in education. Through statistical data and comparative analysis, it highlights the advantages and disadvantages of AI-based diagnostic systems compared to traditional methods. The results aim to contribute to the improvement of educational assessment tools using AI technologies.

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Published

2025-07-30

Issue

Vol. 3 No. 7 (2025): American Journal of Language, Literacy and Learning in STEM Education (2993-2769)

Section

Articles

How to Cite

MEASURING THE EFFECTIVENESS OF PEDAGOGICAL DIAGNOSTICS THROUGH ARTIFICIAL INTELLIGENCE: RESEARCH AND PRACTICAL ANALYSIS. (2025). American Journal of Language, Literacy and Learning in STEM Education (2993-2769), 3(7), 296-298. https://grnjournal.us/index.php/STEM/article/view/8293