自适应生成编程题的AI大模型探索  

Exploration of AI Large Model for Adaptive Generation of Programming Questions

作　　者：王佛琴 蔡沂 WANG Foqin;CAI Yi(School of Computer Engineering,Guangzhou City University of Technology,Guangzhou Guangdong 510800,China)

机构地区：[1]广州城市理工学院计算机工程学院,广东广州510800

出　　处：《信息与电脑》2024年第12期53-55,共3页Information & Computer

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.

关 键 词：编程教育 自适应学习 AI模型 自动生成 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]