In order to improve the quantitative evaluation of the achievements of teaching reform in colleges and universities, and realize the descriptive statistical analysis and accurate evaluation of the results of teaching reform in colleges and universities, an evaluation model of teaching reform achievement in colleges and universities is proposed based on piecewise linear fitting and data mining, the characteristic attribute values reflecting the results of teaching reform in colleges and universities are constructed, including scientific research achievements, teaching results, college students' innovative ability and teachers' strength. Combined with descriptive statistical analysis method, the quantitative evaluation of teaching reform is carried out, and the statistical analysis model of teaching reform achievement evaluation in colleges and universities is constructed, and the attribute data of teaching reform results are processed by fuzzy C-means clustering. The feature quantity of association rules is extracted, and the segmented linear fitting is carried out according to the feature extraction results. The benefit correlation data of teaching reform results are mined, and the evaluation of teaching reform results in colleges and universities is realized according to the results of data mining. The simulation results show that, the model is used to evaluate the achievements of teaching reform in colleges and universities with good accuracy, which has good convergence of regression analysis, and remarkable reliability of evaluation results.
Cite this paper:
Wang Rui. Design and Simulation of Evaluation Model of Teaching Reform Achievements in Colleges and Universities. 2019 International Conference on Advanced Education, Service and Management (AESM 2019). 2019, Vol.3: 829-834. DOI: https://doi.org/10.35532/JSSS.V3.185.