Multidimensional Assessment Results Data Mining and Analysis for Courses of Science

This system adopts the decision tree ID3 algorithm and the teachers´ classroom teaching quality evaluation attribute are classified and evaluation attribute characteristic of each category is obtained. The result of the rules of data mining are analyzed and the analysis results are applied to improve the level of teaching quality, which has very strong practical significance. By using data mining technique, multidimensional assessment results are deeply analyzed, so that we can more clearly find out correlation between factors influencing the quality of classroom teaching of science course. Then we can help the teaching management and teachers to solve teaching problem and improve the quality of classroom teaching of science course.