An Online Judgement System Based on Code-generating Large Model  

作　　者：Xudong Lu Zaixuan Wang He Zhou Chen Yu Lizhen Cui Wei Guo 

机构地区：[1]School of Software,Shandong University,Jinan,250199,China [2]School of Software,Shandong University,and Joint SDU-NTU Centre for Artificial Intelligence Research,Jinan,250199,China

出　　处：《计算机教育》2025年第3期122-129,共8页Computer Education

基　　金：supported by Research and Construction of Experimental Teaching Aid Platform for Programming under the Teaching Reform Research Project of Shandong University。

摘　　要：For computer science majors in higher education institutions,programming courses are one of the most important professional foundation courses.Proficiency in independent programming skills is of great help to the study of subsequent courses and the personal development of students.In the teaching process of programming courses,online judgement systems are often used to improve students’programming level.Traditional online judgement systems lack guidance for students,and it is often difficult for inexperienced students to find and correct errors in their codes by themselves.We propose an online judgement system that integrates a large model of error correction to help students find errors and improve their programming skills.

关 键 词：Online judgement system Code-generating large model AI assistant 

分 类 号：G642[文化科学—高等教育学]