MECHANISMS FOR IMPROVING THE METHODOLOGY OF TEACHING STUDENTS TO USE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION DRAWING CLASSES

This article provides a pedagogical and methodological analysis of ways to improve the methodology for teaching students to use artificial intelligence (AI) technologies in construction drawing and engineering graphics education. It proposes a four-component pedagogical mechanism—goal-oriented, content-related, procedural, and outcome-diagnostic—for systematically integrating traditional drafting education (freehand sketching, descriptive geometry, and ESKD/SHNK standards) with modern digital technologies (CAD/BIM, generative AI, computer vision, and parametric prompting). The article examines a step-by-step method for automatically converting 2D drawings into 3D models using Image-to-BIM technology, as well as a mechanism for automatically analysing and correcting drawing errors with AI. It also presents a standards-based prompt-engineering structure (GOST/ESKD/SPDS, SHNK) and a sample practical assignment. The findings indicate that AI technologies should be used as tools for enhancing students’ creative and analytical potential, rather than replacing the fundamental knowledge base of engineering graphics.