New Prediction Algorithm for English Class Personnel Assignment Problem

Abstract

This paper presents a new intelligent prediction algorithm for English Personnel assignment problem. In order to make the most adaptive education to every student from all over the country, many colleges try to divide the students into two or even more groups depends on their English level to perform the different teaching schedules. English entrance examination score which is usually used to be the standard of it has shown its defects during the past few years’ practices. In this paper, the clustering data mining algorithm and fuzzy mathematics theory are applied to find hidden rules which make the English class personnel assignment scientific and rational not only depend on their scores but also other characteristics.