Project practical teaching grouping strategy based on fuzzy clustering algorithm

Project practical teaching has an important significance to enhance students´ practical ability and is also an important part in teaching reform in colleges and universities, however, there is lacking of scientific strategies to grouping students in project practical teaching. Therefore, a new optimal grouping strategy which based on fuzzy clustering algorithm is proposed in this paper, the grouping strategy, which on basis of scores of students´ previous professional curriculums, uses fuzzy clustering algorithm to establish equivalent relation and classifies students into different classes, then grouping the students on the classification result by uses heterogeneous grouping method. The example in this paper shows the strategy has a good guiding significance for project practical teaching, and be unanimous approved by all the students and teachers.