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

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.