An Improved LSTM Based Early Warning Model for Physical Education Network Teaching Achievements


Zheping Quan, Jianing Li, Weijia Song, Journal of Information Processing Systems Vol. 20, No. 6, pp. 793-800, Dec. 2024  

https://doi.org/10.3745/JIPS.04.0328
Keywords: DBiLSTM, Early Warning Model, Online Courses, Sports
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Abstract

The development of data mining technology has pushed data-driven decision-making to gradually become the core content of educational data mining. To identify students who are at risk of failing physical education online courses at an early stage, this article uses bidirectional long-short term memory (BiLSTM) neural networks to construct a deep BiLSTM (DBiLSTM) prediction model. The experimental verification of its effectiveness showed that in the full attribute data experiment, the DBiLSTM specificity at Stage 1 was the highest, at 30.8%, and the accuracy rate at Stage 3 was as high as 73.6%. In the best attribute data experiment, compared to the full attribute, the accuracy of all models at Stage 2 increased, except for the SVM model, which had a 61.8% accuracy rate. At Stage 3, the early warning accuracy of DBiLSTM was higher than other algorithms, with a rate of 75.7%. In the experiment after introducing the balanced data method, the accuracy of the DBiLSTMSMOTE model combined with the Synthetic Minority Oversampling Technique was 72.6%. At this time, the AUC value of DBiLSTM-SMPOTE reached 72.6% in the middle of the semester, significantly superior to other algorithm models. Overall, DBiLSTM is effective in the early warning of students’ performance in online sports courses, while DBiLSTM-SMOTE is highly practical in early warning of performance in online sports teaching.


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Cite this article
[APA Style]
Quan, Z., Li, J., & Song, W. (2024). An Improved LSTM Based Early Warning Model for Physical Education Network Teaching Achievements. Journal of Information Processing Systems, 20(6), 793-800. DOI: 10.3745/JIPS.04.0328.

[IEEE Style]
Z. Quan, J. Li, W. Song, "An Improved LSTM Based Early Warning Model for Physical Education Network Teaching Achievements," Journal of Information Processing Systems, vol. 20, no. 6, pp. 793-800, 2024. DOI: 10.3745/JIPS.04.0328.

[ACM Style]
Zheping Quan, Jianing Li, and Weijia Song. 2024. An Improved LSTM Based Early Warning Model for Physical Education Network Teaching Achievements. Journal of Information Processing Systems, 20, 6, (2024), 793-800. DOI: 10.3745/JIPS.04.0328.