AI-powered education technologies can support students and teachers in computer science education. However, with the recent developments in generative AI, and especially the increasingly emerging popularity of ChatGPT, the effectiveness of using large language models for solving programming tasks has been underexplored. The present study examines ChatGPT's ability to generate code solutions at different difficulty levels for introductory programming courses. We conducted an experiment where ChatGPT was tested on 127 randomly selected programming problems provided by Kattis, an automatic software grading tool for computer science programs, often used in higher education. The results showed that ChatGPT independently could solve 19 out of 127 programming tasks generated and assessed by Kattis. Further, ChatGPT was found to be able to generate accurate code solutions for simple problems but encountered difficulties with more complex programming tasks. The results contribute to the ongoing debate on the utility of AI-powered tools in programming education.

本文研究了ChatGPT在入门编程课程中生成不同难度程度的代码解决方案的能力，并发现ChatGPT能够独立解决一部分编程问题，但在复杂任务上遇到困难，结果为编程教育中应用AI工具的效用问题提供了新的观点。

Kattis与ChatGPT：人工智能时代编程任务的评估与评价