Author(s)

Lu Lijun ¹

Affiliation(s)

¹ School of Mechanical and Automation, Wuchang Shouyi College, Wuhan, 430064, Hubei, China

Corresponding Author

Lu Lijun

ABSTRACT

With the powerful application capabilities of generative artificial intelligence in programming, new requirements for teaching implementation in university programming courses have emerged. This paper first constructs a capability map that transforms enterprise needs into quantifiable abilities through structured analysis based on job competencies. Then, it proposes a three-tier AIGC teaching method based on the automatic code generation application of AIGC. Finally, it innovatively combines the capability map with AIGC to design a dual-driven teaching model of "capability map + AIGC," and verifies the effectiveness of this developed model for programming courses using the programming course "Principles and Applications of Microcontrollers" as an example.

KEYWORDS

Ability Map; AIGC; Programming; Course Teaching

CITE THIS PAPER

Lu Lijun, The Application of 'Ability Map + AIGC' in Programming Course Teaching: A Case Study of 'Principle and Application of Microcontroller'. Curriculum and Teaching Methodology (2025) Vol. 8: 139-149. DOI: http://dx.doi.org/10.23977/curtm.2025.080419.

REFERENCES

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Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education