Abstract
Aiming at the problem that the traditional teaching effect evaluation model of engineering cost case is less comprehensive, a teaching effect evaluation model of engineering cost case based on data mining is designed. Based on data mining, the evaluation data of teaching effect of engineering cost cases are mined, a series of relevant data are analyzed and obtained by using the method of data mining process, and the clustering analysis of evaluation data is realized by using the typical k-means algorithm. According to the result of cluster analysis, the evaluation index system of teaching effect of engineering cost cases is designed based on the ability indexes in the professional ability system of engineering cost students. Based on the analytic hierarchy process (AHP), the hierarchical structure of the evaluation model of project cost case teaching effect is established, the evaluation matrix is constructed, the weight vector is calculated, and the construction of the evaluation model of project cost case teaching effect is realized through consistency test. In order to prove that the evaluation benchmark of the teaching effect evaluation model of engineering cost case based on data mining is comprehensive, the traditional teaching effect evaluation model of engineering cost case is compared with the model, and the experimental results show that the evaluation benchmark of this model is comprehensive.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Qi-rong, X. (2020). Evaluation Model of Case Teaching Effect of Engineering Cost Based on Data Mining. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-63952-5_2
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DOI: https://doi.org/10.1007/978-3-030-63952-5_2
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