Abstract: The dual drivers of emerging engineering education and Artificial Intelligence (AI) advancement have established a strategic framework for innovating pedagogical approaches to covalent bonding in crystalline structures. As a fundamental concept in solid-state physics, covalent bonding plays a pivotal role in understanding crystalline architectures and material properties. Current instructional methodologies, however, predominantly emphasize theoretical formula derivation while insufficiently integrating computational tools with practical applications. This study proposes an integrated framework that: constructs a knowledge graph for covalent bonding to visualize theoretical concepts and their logical relationships; implements the BOPPPS model; and develops intelligent teaching paradigms through multimodal resource integration, ultimately facilitating students'practical application and deeper understanding of covalent bonding principles.

Key words: Solid state physics, Covalent bonding, Intelligent pedagogy, Interdisciplinary teaching, Knowledge graph, BOPPPS model