BP神经网络在远程教育学习者评价中的应用  

Application Research of BP Neural Network in Distance Education Learner Evaluation

作　　者：姚颖[1] 王菲[2] YAO Ying;WANG Fei(Department of Education,Jining University,Jining 273155,China;School of Information Management,Wuhan University,Wuhan 430074,China)

机构地区：[1]济宁学院教育系,山东曲阜273155 [2]武汉大学信息管理学院,湖北武汉430072

出　　处：《软件导刊》2019年第11期109-112,共4页Software Guide

基　　金：山东省教育科学“十三五”规划项目(YC2017051)

摘　　要：为解决传统网络课程中对学习者评价方式单一,无法全面体现学习者学习情况等问题,通过专家调查法和文献调研法,设计国内远程教育学习者评价指标,同时基于BP神经网络构建远程教育学习者评价模型,并通过实验验证了其在远程教育评价中的应用效果。研究结果表明评价结果可信度高,能够为远程教育学习者提供更为科学的评价方式。In order to solve the problem that the traditional online course has a single evaluation method for learners and can not fully reflect the learners'learning situation,this paper designs the evaluation indicators of domestic distance education learners through expert survey method and literature research,and combines the current advanced neural network technology,the tentative construction of the learner evaluation model of distance education,and the application effect of the evaluation method in the distance education evaluation by the experimental research method.The practical results show that the evaluation result is highly credible and can provide a more scientific way of evaluating education for distant education learners.

关 键 词：远程教育 BP神经网络 评价模型 学习者评价 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]