摘要
文章探索了利用人工智能(Artificial Intelligence,AI)大模型自动生成编程题的可行性与潜在应用价值,并基于最新的自然语言处理技术,通过自适应学习机制,探索了实现个性化和难度动态调整的编程题自动生成系统。本研究主要聚焦于探索AI模型架构、数据集构建以及自适应生成策略的理论与方法。
The article explores the feasibility and potential applications of automatic generation of programming questions using Artificial Intelligence(AI)large models,and realizes a personalized and difficulty dynamically adjusted automatic generation system for programming questions based on the latest natural language processing technology through adaptive learning mechanism.This study mainly focuses on exploring the theories and methods of different AI model architectures,dataset construction,and adaptive generation strategies.
作者
王佛琴
蔡沂
WANG Foqin;CAI Yi(School of Computer Engineering,Guangzhou City University of Technology,Guangzhou Guangdong 510800,China)
出处
《信息与电脑》
2024年第12期53-55,共3页
Information & Computer
关键词
编程教育
自适应学习
AI模型
自动生成
programming education
adaptive learning
AI model
automatic generation
