Abstract
In the process of analyzing the passing rate of online open courses of automation technology, it is difficult to guarantee the prediction accuracy of the passing rate of courses due to the influence of course factors, learning behavior factors and environmental factors. Based on this, the intelligent prediction method of the passing rate of online open courses of automation technology is optimized and innovated. Firstly, collect the characteristic information of the online open courses of automation technology, then construct the evaluation index of the passing rate of the online open courses of automation technology, and finally optimize the evaluation algorithm to realize the intelligent prediction of the passing rate of the online open courses of automation technology. The experimental results show that the proposed intelligent prediction method of online open course passing rate of automation technology has high practicability and accuracy in the process of practical application, and fully meets the research requirements.
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, W., Wu, J. (2022). Intelligent Prediction Method of Online Open Course Passing Rate of Automation Technology. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-21161-4_38
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DOI: https://doi.org/10.1007/978-3-031-21161-4_38
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