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基于BP神经网络的线上与线下教学研究

Comparative Study of Online and Offline Teaching Based on BP Neural Network
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摘要 2020年上半年,由于受新冠疫情防控的影响,线上教学扛起重担,成为我国疫情期间的主流教学方式。在此背景下,针对燕山大学信管专业设计一套科学的线上教学方案。通过建立客观与主观两种评价指标体系,以BP神经网络为教学工具,对比研究线上、线下两种教学模式的整体效果。结果表明,线下教学有利于增强学生的实践能力和综合分析能力,线上教学有利于提高其自主学习能力和课堂效率。 In the first half of 2020,due to the control of the new crown pneumonia,online teaching has shouldered the burden and has become the mainstream teaching method in my country during the epidemic. Under this situation,designed a set of scientific online teaching programs. Compares and predicts the overall teaching effect of the oneline and offline teaching modes by establishing objective and subjective evaluation index systems,using BP neural network as a teaching tool. Results show that,online teaching has relatively obvious improvement in independent learning ability and listening efficiency,which has played a guiding role in the combination of the two teaching modes.
作者 毕华玲 李舒婷 卢福强 BI Hua-ling;LI Shu-ting;LU Fu-qiang(College of Management,Northeastern University at Qinhuangdao,Qinhuangdao 066004,China;School of Economics and Management,Yanshan University,Qinhuangdao 066000,China)
出处 《软件导刊》 2022年第2期239-242,共4页 Software Guide
基金 河北省高等教育教学改革研究与实践项目(2019GJJG422) 河北省高等教育学会高等教育科学研究项目(GJXH2019-060)。
关键词 线上教学 线下教学 评价指标体系 BP神经网络 online teaching offline teaching evaluation index system BP neural network
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