CONSTRUCTION OF CAMPUS ECOLOGICAL COLLABORATIVE TEACHING QUALITY EVALUATION SYSTEM BASED ON BIG DATA ENVIRONMENT

In order to accurately and effectively analyze the current situation and defects of campus ecological moral education collaborative teaching, this paper studies the construction of the quality evaluation system of collaborative teaching in campus ecological moral education based on big data. According to the current situation of ecological environment pollution, ecological environment protection is brought into the scope of moral education, and the concept of collaborative teaching of campus ecological moral education is put forward. Based on this concept, the quality evaluation index of collaborative teaching of campus ecological moral education is selected from the five criteria of carrying capacity, support and attraction and so on. In the election indexes, the election evaluation indexes are selected qualitatively by considering the principles of typical documents of authoritative institutions and operability. We use big data to quantitatively analyze the remaining evaluation indexes after qualitative analysis. After standardizing the index data, we reduce the information correlation of evaluation indexes among various categories through R-type hierarchical clustering, and use the coefficient of variation to determine the evaluation indexes with the highest coefficient of variation in different categories. On this basis, the evaluation index is added through rational analysis to ensure that the evaluation system can present the collaborative teaching theme of campus ecological moral education. The example analysis results show that the quality evaluation system of collaborative teaching in campus ecological moral education constructed by this method is scientific and effective, and can effectively analyze the current situation and defects of campus ecological moral education collaborative teaching.