基于BP神经网络和SpringBoot+Vue的知识状态诊断系统  

Knowledge State Diagnosis System Based on BP Neural Network and SpringBoot+Vue

作　　者：晋晓雨 任鹏姗 JIN Xiaoyu;REN Pengshan(Shangqiu University Applied Science and Technology College,Kaifeng,Henan 475000,China;Henan Institute of Technology,Xinxiang,Henan 453003,China)

机构地区：[1]商丘学院应用科技学院,河南开封475000 [2]河南工学院,河南新乡453003

出　　处：《移动信息》2024年第7期341-342,346,共3页MOBILE INFORMATION

基　　金：2024年度河南省高校人文社会科学研究一般项目:智慧教室环境下教师数字素养提升路径探究(No.2024-ZDJH-133)。

摘　　要：在教育数字化的背景下,如何诊断学生的知识掌握情况,是开展精准教学的重点。然而,当前知识状态诊断需要进行参数估计或大样本训练,适用于大型测试,但难以满足课堂的教学需求。基于此,文中基于BP神经网络和SpringBoot+Vue框架设计了知识状态诊断系统,以实现系统集成和界面设计、知识诊断和报告生成、测试练习和资源推送、系统平台数据管理等核心功能,为教师开展精准教学提供了有效支撑。In the context of digital education,how to diagnose students̓knowledge acquisition is a key focus for precision teaching.However,current knowledge state diagnosis requires parameter estimation or large sample training,which is suitable for large-scale testing,but cannot meet the needs of classroom teaching.Based on this,this paper designs a knowledge state diagnosis system using the BP neural network and the SpringBoot+Vue framework,integrating the system and interface design,knowledge diagnosis and report generation,test practice and resource push,and system platform data management,to provide effective support for conduct precision teaching.

关 键 词：BP神经网络 知识状态诊断 SpringBoot Vue 精准教学 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]