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Abstract <p>This study aims to develop a methodology for meaning-centered organization of the educational process in artificial intelligence engineering. Its key component is a hierarchical system of metric conceptual templates (HMCT), which structures learning goals, objectives, and methods, with educational content built as a series of adaptive semantic trajectories. The novelty lies in the creation of a new type of educational environment architecture, where digital resources serve as an instrumental shell, and the semantic core is formed through HMCT. A supporting element is the virtual computer laboratory (VCL), which provides access to modern tools and interactive practices. Pilot testing showed that this cognitive-semantic architecture increases student engagement, enhances knowledge interpretation, and promotes the development of engineering thinking.</p>

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A Systems Approach to Building an Educational Environment in Artificial Intelligence Engineering Using Cognitive-Semantic Integration

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • E. N. Cheremisina,
  • E. Yu. Kirpicheva,
  • V. N. Dobrynin,
  • A. A. Milovidova

摘要

Abstract

This study aims to develop a methodology for meaning-centered organization of the educational process in artificial intelligence engineering. Its key component is a hierarchical system of metric conceptual templates (HMCT), which structures learning goals, objectives, and methods, with educational content built as a series of adaptive semantic trajectories. The novelty lies in the creation of a new type of educational environment architecture, where digital resources serve as an instrumental shell, and the semantic core is formed through HMCT. A supporting element is the virtual computer laboratory (VCL), which provides access to modern tools and interactive practices. Pilot testing showed that this cognitive-semantic architecture increases student engagement, enhances knowledge interpretation, and promotes the development of engineering thinking.