Mr. Shihao Li Profile

Shihao Li

at Guangdong Technology College

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Proceedings Article | 11 November 2022 Paper

Intelligent campus score analysis method based on association rules and neural network

Shihao Li, Ze Yang, Xiaoyun He

Proceedings Volume 12301, 123011Z (2022) https://doi.org/10.1117/12.2644566

KEYWORDS: Neural networks, Data modeling, Data acquisition, Analytical research, Statistical methods, Statistical analysis, Feature selection, Evolutionary algorithms, Computer science, Neurons

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In order to solve the problem of insufficient ability of campus achievement analysis, this paper puts forward a complete set of intelligent campus achievement analysis methods. Firstly, the method collects and preprocesses the students' achievement data of each subject, uses the Apriori association rule algorithm to select the main pre courses that affect the students' comprehensive assessment results, and filters the irrelevant pre courses; Then, the neural network algorithm is used to construct the score prediction model, convert the scores corresponding to the main pre courses into feature vectors, take the students' comprehensive examination scores as labels, and use the feature vectors and labels to train the score prediction model; Third, use the trained model to predict the students' comprehensive examination results; Finally, if the predicted comprehensive assessment result fails, send an early warning notice of the failure of the comprehensive assessment result to the student in advance, and remind the student to strengthen the study of the main pre courses. Experiments show that the method proposed in this paper performs well in achievement analysis and prediction, and is conducive to promoting the improvement of students' achievement.

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