MUHANDISLIK TA’LIMI JARAYONIDA SUN’IY INTELLEKTDAN FOYDALANISH ORQALI PEDAGOGIK IMKONIYATLARINI OSHIRISH METODIKASINI TAKOMILLASHTIRISH
Keywords:
Artificial intelligence, engineering education, pedagogical methodology, diagnostics, differentiated learning, feedback, assessment criteria.Abstract
This article discusses issues related to improving the methodology for enhancing pedagogical opportunities through the use of artificial intelligence in the engineering education process. Considering the specific nature of engineering subjects (complex calculations, modeling, projects, and practical assignments), the article proposes mechanisms based on AI for planning educational goals, conducting diagnostics, organizing differentiated (level-based) learning, providing rapid feedback, and assessing both the process and the outcome. The article also addresses the instructor’s role in monitoring and methodical guidance, as well as ensuring academic integrity and the alignment of AI recommendations with pedagogical objectives.
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