Robotics & Machine Learning Daily News2024,Issue(Jun.20) :23-23.

Studies from Ningxia Normal University in the Area of Intelligent Systems Descri bed (Evaluation of online teaching quality in colleges and universities based on digital monitoring technology)

宁夏师范大学智能系统研究(基于数字监控技术的高校在线教学质量评价)

Robotics & Machine Learning Daily News2024,Issue(Jun.20) :23-23.

Studies from Ningxia Normal University in the Area of Intelligent Systems Descri bed (Evaluation of online teaching quality in colleges and universities based on digital monitoring technology)

宁夏师范大学智能系统研究(基于数字监控技术的高校在线教学质量评价)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-一项关于智能系统的新研究现在可用。根据新sRx记者对宁夏师范大学的新闻报道,研究表明:“智能高校教学检测系统可以有效提高高校课堂教学效率,改善教学环境。”新闻编辑引用宁夏师范大学的一篇研究报告:“为了提高网络教学督导的质量,本研究结合数字监控技术对高校网络教学过程进行监控,”本文将投影法应用于数字化教学检测中,根据需求改进算法,利用因子改进方法改进模型应用中存在的问题,利用需求分析方法构建系统模型,并对其进行了分析。并利用实验分析方法验证了所提算法和模型的有效性,在仿真平台和数理统计方法的支持下,验证了所提系统模型的有效性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on intelligent systems is now available. According to news reporting from Ningxia Normal University by New sRx journalists, research stated, "The intelligent university teaching detection system can effectively improve the teaching efficiency of university classrooms and improve the teaching environment." The news editors obtained a quote from the research from Ningxia Normal Universi ty: "In order to improve the quality of online teaching supervision, this study combines digital monitoring technology to monitor the online teaching process in colleges and universities, and analyzes the method and process of using the equ ivalence line and the rotation theorem to estimate the projection angle. This wo rk applies a projection method to digital teaching detection, improves the algor ithm based on requirements, uses factor improvement methods to improve the probl ems in model application, uses requirement analysis methods to construct a syste m model, and uses experimental analysis methods to verify the effectiveness of t he proposed algorithm and model. With the support of simulation platforms and ma thematical statistical methods, the effectiveness of the system model is verifie d in this work."

Key words

Ningxia Normal University/Intelligent S ystems/Machine Learning/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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