智能优化算法在学习成绩预测中的应用

The Application of Intelligent Optimization Algorithms in Predicting Academic Performance

随着在线学习平台的普及,基于学生在线学习行为的成绩预测为教育教学提供了更有效的支持和指导,在教育领域备受关注。本文对智能优化算法在学习成绩预测中的应用进行了介绍,详细阐述了粒子群算法(PSO)、遗传算法(GA)、模拟退火算法(SA)等几种主要智能优化算法的原理,并结合其在学习成绩预测的应用介绍了其取得的成果,总结了结合智能优化算法的成绩预测研究。

With the popularity of online learning platforms,performance prediction based on students'online learning behavior provides more effective support and guidance for education and teaching,and has attracted much attention in the field of education.This article introduces the application of intelligent optimization algorithms in predicting academic performance,detailing the principles of several major intelligent optimization algorithms such as particle swarm optimization(PSO),genetic algorithm(GA),simulated annealing algorithm(SA),etc.It also introduces their achievements in predicting academic performance and summarizes the research on performance prediction using intelligent optimization algorithms.