摘要
旨在通过对学习路径规划研究现状的分析,为未来学习路径规划领域相关研究的发展提供借鉴。具体而言,首先介绍学习路径规划的定义以及学习路径规划方法中常用参数;然后按照使用算法的类别的不同,对学习路径规划算法进行详细分类,总结各类学习路径规划方法的优缺点;接着,对学习路径规划方法使用的数据集与评估方法进行介绍;最后,总结学习路径规划方法面临的挑战并对其未来发展趋势进行预测。
This review aims to guide the future development of related research in the field of learning path planning through the analysis of the current research status of learning path planning.Specifically,this review first introduces the definition of learning path planning and the commonly used parameters in learning path planning methods;then,it classifies in detail according to the algorithms used to generate learning path planning and summarizes the advantages and disadvantages of various learning path planning methods.In addition,the data set and evaluation method used by the learning path planning method is introduced.Finally,the challenges faced by the learning path planning method are summarized and the future development trend is predicted.
作者
罗中凯
张立波
LUO Zhongkai;ZHANG Libo(Intelligent Software Research Center,Institute of Software,Chinese Academy of Sciences,Beijing 100190,China)
出处
《中国科学院大学学报（中英文）》
CSCD
北大核心
2024年第1期11-27,共17页
Journal of University of Chinese Academy of Sciences
基金
国家自然科学基金青年基金(61807033)资助。
关键词
学习路径
进化算法
数据挖掘
知识图谱
神经网络
learning path
evolutionary algorithm
data mining
knowledge map
neural network
