Research on the Innovative Application of AIGC in Programming Education: A Case Study of Code Generation and Intelligent Feedback System Design
Year: 2025
Type: conference-paper
Abstract: AI development has reached an all-time high these days, and as a result, AIGC has shown prospects for breaking new ground in education and teaching. This article will explore the use and incorporation of AIGC in hands-on programming education. If we take the example of code generation supplemented with the intelligent feedback system, it would utilize NLP and deep learning technologies to accomplish the task of automatic code snippet generation. On the other hand, it proclaims immediate error detection and feedback on learning that is intended for the individual respective learner. This method has been indicated among the best programming efficiency enhancers, low level of programming difficulty, and better learning efficiency. This planning was a demonstration of the application and yielding results of AIGC in programming education. Furthermore, I also identify the future problem when the pedagogy and automation joint goals have to be defined.
Author: Zichang Hong
Institution: Guangzhou Huanan Business College
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4412789944