Research on the Integration and Innovative Application of Artificial Intelligence Technology in Mechanical Engineering Teaching

Abstract

: The rapid development of artificial intelligence (AI) technology has brought new possibilities for the systemic transformation of mechanical engineering education. Based on the teaching characteristics and era challenges of the mechanical engineering discipline, this paper systematically explores the integration paths and innovative application modes of AI technology in the teaching of the mechanical engineering major. Firstly, the study analyzes the practical background and core connotation of AI empowering mechanical engineering teaching and then constructs a theoretical framework for AI technology integration from four dimensions: curriculum system restructuring, teaching model innovation, experimental practice upgrading, and personalized learning support optimization. On this basis, the paper deeply discusses the key application scenarios, including curriculum content organization based on knowledge graphs, the human-machine collaborative classroom teaching paradigm, virtual-real integrated experimental practice ecology, and data-driven personalized learning support. Finally, the study probes into the challenges and corresponding strategies faced by the application of AI technology, aiming to provide theoretical reference and practical guidance for mechanical engineering educators to promote the digital transformation of teaching.