QoE oriented intelligent online learning evaluation technology in B5G scenario

作     者：Mingzi Chen Xin Wei Peizhong Xie Zhe Zhang Mingzi Chen;Xin Wei;Peizhong Xie;Zhe Zhang

作者机构：School of Communications and Information EngineeringNanjing University of Posts and TelecommunicationsNanjing210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of Posts and Telecommunications)Ministry of EducationNanjing210003China Institute of Higher EducationNanjing University of Posts and TelecommunicationsNanjing210003China 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2024年第10卷第1期

页      面：7-15页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：supported by Postgraduate Research&Practice Innovation Program of Jiangsu Province(Grant No.KYCX20_0733) Education Reform Foundation of Jiangsu Province(Grant No.2021JSJG364) Key Education Reform Foundation of NJUPT(Grant No.JG00220JX02,JG00218JX03,JG00215JX01,JG00214JX52) the Priority Academic Program Development of Jiangsu Higher Education Institutions 

主　　题：B5G Online learning Quality of experience 

摘      要：Students demand for online learning has exploded during the post-COvID-19 pandemic ***,due to their poor learning experience,students dropout rate and learning performance of online learning are not always *** technical advantages of Beyond Fifth Generation(B5G)can guarantee a good multimedia Quality of Experience(QoE).As a special case of multimedia services,online learning takes into account both the usability of the service and the cognitive development of the *** that affect the Quality of Online Learning Experience(OL-QoE)become more *** get over this dilemma,we propose a systematic scheme by integrating big data,Machine Learning(ML)technologies,and educational psychology ***,we first formulate a general definition of OL-QoE by data analysis and experimental *** formula considers both the subjective and objective factors(i.e.,video watching ratio and test scores)that most affect ***,we induce an extended layer to the classic Broad Learning System(BLS)to construct an Extended Broad Learning System(EBLS)for the students OL-QoE *** the extended layer can increase the width of the BLS model and reduce the redundant nodes of BLS,the proposed EBLS can achieve a trade-off between the prediction accuracy and computation ***,we provide a series of early intervention suggestions for different types of students according to their predicted OL-QoE *** timely interventions,their OL-QoE and learning performance can be *** results verify the effectiveness oftheproposed scheme.