基于神经网络的学习成绩预测及实证探究
Learning Achievement Prediction and Empirical Inquiry Based on Neural Network
杨显青1
作者信息
- 1. 朝阳工程技术学校(朝阳市农业学校),辽宁朝阳 122000
- 折叠
摘要
大数据时代悄然而至,神经网络模型在这一时代构建并应用于实践,如将神经网络模型应用于学习成绩预测,能够提高预测成绩的准确性,为调整教学活动指明方向.文章探究如何利用神经网络进行学习成绩预测,并提出管理及干预措施,为学生提供行之有效的教育指导,从而提高学生的学习成绩.
Abstract
With the advent of the era of big data,the neural network model is built and applied in practice in this era.For example,the application of the neural network model to the prediction of academic performance can improve the accuracy of the prediction of academic performance and point out the direction for adjusting teaching activities.This paper explores how to use neural network to predict learning performance,and puts forward management and intervention measures to provide effective education guidance for students,so as to improve students'learning performance.
关键词
神经网络/学习成绩/预测/实证Key words
neural networks/academic performance/prediction/demonstration引用本文复制引用
出版年
2024
NETL
NSTL
万方数据