A Study on the Teaching Reform of Hardware-Related Courses under the Drive of the Artificial Intelligence Industry

Chao Shen; Siyu  Liu; Yue  Fei

doi:10.61360/BoniCETR252018981004

Authors

Chao Shen School of Computer Science and Engineering, Xi’an Technological University, China
Siyu Liu School of Computer Science and Engineering, Xi’an Technological University, China
Yue Fei School of Weapons Science and Technology, Xi’an Technological University, China

DOI:

https://doi.org/10.61360/BoniCETR252018981004

Keywords:

artificial intelligence industry, higher education, hardware-oriented courses, teaching reform, talent cultivation

Abstract

The rapid development of the artificial intelligence (AI) industry has led to a surging demand for professionals equipped with AI-related hardware development and debugging skills. However, hardware-oriented courses in universities often suffer from outdated content and insufficient practical alignment, making it difficult to meet industry needs. As a result, promoting curriculum reform has become an urgent requirement to bridge the gap between talent cultivation and industrial demands. Universities are therefore expected to adapt reforms to their specific contexts, clarify the primary directions of curriculum adjustment, and enhance the relevance of teaching by integrating both students’ learning needs and industry employment standards. Such efforts are crucial to fostering students’ comprehensive development. This paper focuses on the AI industry’s demand for hardware-oriented talent and explores pathways for curriculum reform. Strategies are proposed in three key areas: goal reconstruction, content optimization, and methodological innovation, with the aim of improving students’ hardware practice capabilities and AI adaptability, thereby providing a reference for the reform of hardware-oriented courses in higher education.

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