Skip to content
JournalsWorldThe Global Research Discovery Platform
Featured Dataset

METHODOLOGY OF TEACHING PHYSICS USING THE PRODUCTIVE METHOD WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE

This article analyzes the methodological foundations of teaching physics using the productive teaching method. The research examines the role of learning motivation, creative thinking, and independent cognitive activity in the process of mastering physics concepts. Special attention is given to t

👤
CreatorYu. G. Mahmudov
📅
Published2026-04-08
🔗
DOI10.5281/zenodo.19474345
📊
Downloads13
⚖️
Licensecc-by-4.0
File Size233.4 KB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views24
Total Downloads13

This article analyzes the methodological foundations of teaching physics using the productive teaching method. The research examines the role of learning motivation, creative thinking, and independent cognitive activity in the process of mastering physics concepts. Special attention is given to the integration of innovative pedagogical technologies and artificial intelligence tools in the educational process. Artificial intelligence technologies, including adaptive learning systems and virtual laboratories, create opportunities for individualized learning and interactive experimentation. The findings indicate that the combination of productive teaching methods and artificial intelligence significantly enhances students’ motivation, cognitive engagement, and creative learning abilities.

📤 Share this page

Found this useful? Share it with your network.

✓ Link copied! Paste it on ResearchGate / Academia.edu
📦
METHODOLOGY OF TEACHING PHYSICS USING THE PRODUCTIVE METHOD… (Full Dataset)233.4 KB
⬇
📄
ReadmeVia DOI record
↗

Files are hosted on the source repository. Click download to access the full dataset.

Yu. G. Mahmudov (2026). METHODOLOGY OF TEACHING PHYSICS USING THE PRODUCTIVE METHOD WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE. https://doi.org/10.5281/zenodo.19474345