Research On The Correlation Analysis Among Courses

According to the order,integrity,correlation and continuity between one course and another of a major, the author has done some research on the correlation among education technology courses in a quantitative way. The quantitative results give some enlightenment.Based on them, the author has inquired internal relationship (including course content,course characteristic,learning ability and cognition) between courses. The aim is to optimize courses scheme and guiding the learning process.First, the author has adopted one-factor correlation analysis by using software SPSS to calculate correlation coefficient between one course and another, so the author has gotten a basic understanding of the whole courses correlation. In order to get a further understanding of professional courses correlation, the author has adopted a multi-facor canonical correlation analysis to analyze the correlation coefficient of courses in the different levels. That is to say, It is to analyze the relationship between professionally basic courses and professional ones.After observing and analyzing from different angles,the results not only have confirmed that the knowledge structure has impacted on students,but also has revealed the relationship of study ability.Second,based on the analysis conclusions,the author has furtherly researched that the correlation among courses impact on the academic performance by using the correlation among courses.Therefore, association rules analysis has been adopted under the environment of Weka.Some association rules that they meet one parameter min-support and another parameter min-confidence are mined.Association rules marked by support and confidence can predict the extent that one course study status may impact on another.Finally, integrating the result of correlation analysis among courses, the author has given some advice on optimizing education technology courses scheme from the order,the integrity,the correlation and the continuity.