Reform of college students' teaching management informatization under the background of big data and IoT

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY
Lei Wu
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引用次数: 0

Abstract

With the continuous layout of intelligent processing technology in the teaching field, it has become an important trend to apply big data and Internet of Things technology to the teaching management of college students. Big data technology can comprehensively analyze the teaching situation of students through massive data, and then provide the best solution, the current big data technology already has a strong technical foundation, which can provide assistance for students’ teaching. The Internet of Things technology can collect personal information of students through sensors and miniature portable devices, and provide the data to the background server for big data analysis. In order to analyze the current status of the informationization of teaching management for college students, this paper first surveys some colleges and institutions through questionnaire surveys, and conducts data analysis on the collected questionnaires, and puts forward a solution based on big data and the Internet of Things based on the data analysis results. Finally, the combination of big data and Internet of Things technology for student teaching data collection, effect evaluation scheme, intelligent arrangement of integrated courses, intelligent recommendation scheme for students’ teaching needs, and teaching management information visualization scheme are analyzed, and it is found that the combination of big data and Internet of Things related technologies It can effectively improve the efficiency of teaching management of college students.
大数据和物联网背景下大学生教学管理信息化改革
随着智能处理技术在教学领域的不断布局,将大数据和物联网技术应用到高校学生的教学管理中已经成为一个重要的趋势。大数据技术可以通过海量数据全面分析学生的教学情况,进而提供最佳的解决方案,目前的大数据技术已经具备了较强的技术基础,可以为学生的教学提供辅助。物联网技术可以通过传感器和微型便携式设备收集学生的个人信息,并将数据提供给后台服务器进行大数据分析。为了分析高校学生教学管理信息化的现状,本文首先通过问卷调查的方式对部分高校和机构进行调查,并对收集到的问卷进行数据分析,根据数据分析结果提出基于大数据和物联网的解决方案。最后,对结合大数据和物联网技术进行学生教学数据采集、效果评估方案、智能编排综合课程、针对学生教学需求的智能推荐方案、教学管理信息可视化方案进行分析,发现结合大数据和物联网相关技术可以有效提高高校学生教学管理的效率。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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