Study on Application of Fuzzy Theory and Principal Component Analysis in Teaching Evaluation
Hongfu Ai, Ying Shi · 2016
In the era of Big Data, according to the characteristics of basic computer courses, the author reasonably applied education data generated in the process of teaching.And the author made an in-depth analysis of the data collected by using the fuzzy theory and principal component.It provides a scientific basis for decision making to improve basic computer education, and improves the quality of teaching basic computer.This study reflects data can drive decision and revolutionize education too. Computer basic education under the big dataHigher education as an important part of the social subsystem was heavily influenced by big data.Data mining education has become an important way to improve the level of teaching management and quality in developed countries [1].The overall goal of computer basic education in university is popularization of computer culture, cultivation of professional application ability and computational thinking ability training [2].It plays an important role in higher education, thus improving the quality of teaching basic computer is necessary.