Learning path planning methods

doi:10.7523/j.ucas.2022.061

Abstract

Abstract: 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.

Key words: learning path, evolutionary algorithm, data mining, knowledge map, neural network

CLC Number:

TP391

LUO Zhongkai, ZHANG Libo. Learning path planning methods[J]. Journal of University of Chinese Academy of Sciences, 2024, 41(1): 11-27.

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