Author(s)

Yifei Zhang ¹

Affiliation(s)

¹ School of Computer Science and Engineering, Northeastern University, Shenyang City, China

Corresponding Author

Yifei Zhang

ABSTRACT

With the rapid development of artificial intelligence (AI) technology and the popularization of generative AI represented by Large Language Models (LLMs), teaching of computer programming including cross-school study is facing large challenges and opportunities. The limitations of traditional teaching model are becoming increasingly apparent under the influence of the powerful capabilities of AI code generation tools. The teaching focus of computer programming is transferring from code implementation to high-level thinking development on problem definition, system design, review, and optimization. In response to the problems of current cross-school joint learning, we propose a demonstration cultivating model for cross-school study of computer programming empowered by digital intelligence, which provides a complete set of teaching reform plan including the curriculum system, teaching methods, teaching practice, evaluation standards, and the cross-school joint cultivation. It is not only applicable to computer programming courses but also has important reference for the teaching reforms of disciplines such as mathematics, physics, and engineering, which require the stronger logical thinking and problem-solving abilities.

KEYWORDS

Digital intelligence empowerment, Computer programming, AI-assisted teaching, Teaching model, Cross-school study

CITE THIS PAPER

Yifei Zhang. Research on the Cross-School Study Model of Computer Programming Empowered by Digital Intelligence. Advances in Educational Technology and Psychology (2026). Vol. 10, No. 2, 33-37. DOI: http://dx.doi.org/10.23977/aetp.2026.100205.

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Sponsors, Associates, and Links

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