Design and Function of Teaching Incentive Mechanism of University Teachers Under the Background of Big Data

Honggui Xiang
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引用次数: 1

Abstract

Data analysis and application have greatly changed the teaching management and evaluation system and provided an opportunity for scientific management. This paper takes the way of teaching incentive of university teachers as the breakthrough point, expounds the improvement path of the teaching incentive mechanism of university teachers under the background of big data. The paper introduces key technology of big data in education, such as educational data mining and learning analysis technology, and at the same time designs a whole-process teaching incentive system for university teachers based on big data. The system is built on the Hadoop big data platform, using the column-oriented distributed open source database HBase as the database system. It carries on the distributed computation to the teacher's scientific research, the teaching administration, the personnel information, the examination reward and punishment, and provides the decision basis for the teacher, s teaching incentive. In the context of big data, positive incentives, such as teaching awards and salary incentives, and negative incentives, such as supervision and assessment, can effectively improve the teaching quality, further improve the teaching level, promote the education and teaching management in colleges and universities, and lay a solid foundation for the implementation of the fundamental task of cultivating people by virtue.
大数据背景下高校教师教学激励机制的设计与作用
数据分析与应用极大地改变了教学管理与评价体系,为科学管理提供了契机。本文以高校教师教学激励方式为切入点,阐述了大数据背景下高校教师教学激励机制的改进路径。本文介绍了教育数据挖掘、学习分析技术等大数据在教育中的关键技术,同时设计了基于大数据的高校教师全流程教学激励体系。本系统建立在Hadoop大数据平台上,采用面向列的分布式开源数据库HBase作为数据库系统。它对教师的科研、教学管理、人事信息、考试奖惩进行分布式计算,为教师的教学激励提供决策依据。在大数据背景下,通过教学奖励、薪酬激励等积极激励和监督考核等消极激励,可以有效提高教学质量,进一步提高教学水平,促进高校教育教学管理,为落实以德育人的根本任务奠定坚实基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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