Abstract
When identifying the mismatch of educational resources in regional colleges and universities, there is a certain mismatch between the elements of resource mismatch and the measurement, which leads to the problem that the actual recognition speed is too low. This paper constructs a data mining based method to identify the mismatch of educational resources in regional colleges and Universities. After determining the subject of collection, mining the data of educational resources in Colleges and universities, using all elements of resources to proxy variables, controlling the matching parameters between elements and measures, measuring the mismatch of educational resources, integrating similar teaching resources, establishing mismatch recognition rules, and finally completing the identification of educational resources mismatch. This paper simulates the regional university resource environment, selects the information science, information work, discipline field and related literature of CNKI as the mismatched educational resources. Experiments are used to verify the effectiveness of this method. The results show that the mismatch identification method designed in this paper can identify the mismatched resources quickly maximum.
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Liu, Y., Hui, S., Wang, Sw. (2021). A Data Mining Based Method for Identifying the Mismatch of Educational Resources in Regional Colleges and Universities. 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_24
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DOI: https://doi.org/10.1007/978-3-030-84386-1_24
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