Author(s)

Xiaohu Yan ¹, Jie Li ², Feng Li ¹

Affiliation(s)

¹ School of Undergraduate Education, Shenzhen Polytechnic University, Shenzhen, China
² School of Artificial Intelligence, Shenzhen Polytechnic University, Shenzhen, China

Corresponding Author

Jie Li

ABSTRACT

Summer practical teaching is crucial for enhancing students' practical skills and fostering an innovative mindset, particularly in vocational undergraduate programs. This paper focuses on the Artificial Intelligence Engineering Technology major at Shenzhen Polytechnic University and outlines the comprehensive teaching plans implemented over four consecutive summer terms. The curriculum is structured into four progressive stages: basic application projects, comprehensive application projects, integrated innovation projects, and cross-border integration projects. The paper further explores the design methodology and implementation process of the summer practical teaching, along with an analysis of its achievements and effectiveness. Central to this curriculum is the Industrial Product Defect Detection System (IPDDS), which captures images of scratches and dirt on bottle caps. By employing advanced artificial intelligence algorithms, the system detects defects and activates audible and visual alarms based on the results. Additionally, it features a robotic arm that sorts defective bottle caps into designated locations. This summer practical teaching initiative exemplifies the concept of product-driven, technology-guided, competence-based, and theory-practice integration. It provides valuable insights and inspiration for practical teaching in vocational undergraduate programs. 

KEYWORDS

Vocational Undergraduate, Artificial Intelligence, Summer Term, Practical Teaching, Defect Detection

CITE THIS PAPER

Xiaohu Yan, Jie Li, Feng Li, Exploration of Summer Practical Teaching for Artificial Intelligence Engineering Technology Major. Curriculum and Teaching Methodology (2025) Vol. 8: 103-111. DOI: http://dx.doi.org/10.23977/curtm.2025.080115.

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