Abstract
In order to test the effect of teaching reform methods, the evaluation model of computer education reform effect in Colleges and universities is constructed based on the improved fuzzy clustering algorithm. The traditional fuzzy clustering algorithm can not solve the problem of effect evaluation. Firstly, the fuzzy clustering algorithm is improved. Based on the two-dimensional missing data set, the geometric structure of the algorithm is analyzed, and the operation law of the algorithm is explored. Then, the evaluation index system of university computer education reform effect is established, which is divided into general goal, primary goal and secondary goal. The hierarchical weight and total weight of the scale are calculated by improved clustering fuzzy algorithm, and the model structure is evaluated based on the reality. Taking a university as an example, this paper analyzes the accuracy of the evaluation model after the reform of computer education.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Guo, L., Wei, Y., Jiang, S. (2021). Evaluation Model of Computer Education Reform Effect in Colleges and Universities Based on Improved Fuzzy Clustering Algorithm. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-030-84386-1_35
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DOI: https://doi.org/10.1007/978-3-030-84386-1_35
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