Construction of Online Education Learning Situation Early Warning Model under Big Data Analysis

DOI: https://doi.org/10.62517/jbdc.202601109

Author(s)

Liu Yan, Long Yanbin*

Affiliation(s)

Liaoning University of Science and Technology, Anshan, China *Corresponding Author

Abstract

With the booming development of online education in the "Internet+" era, massive learning data has provided a new opportunity for learning situation analysis. This paper constructs an online education learning situation early warning model based on the LSTM (Long Short-Term Memory) algorithm. This model integrates multi-source learning data and utilizes the temporal feature extraction capability of LSTM to achieve dynamic monitoring and risk warning of students' learning status. Experimental results show that the model outperforms traditional methods in terms of accuracy and recall in learning situation early warning, providing an effective tool for improving the quality of online education.

Keywords

Big Data Analysis; Online Education; Learning Situation Early Warning; Lstm Algorithm; Deep Learning

References

[1] Bai Xiangyu. Robust learning mastery estimation and adaptive verification method for online education [P]. Sichuan Qiming Daren Technology Co., Ltd. 2025. 56-58 [2] Han Yue; Han Haiyan; Zhang Jingjing; Li Zhuang; Li Na. Design and construction of information navigation system for online education platform in ethnic minority areas based on card classification method. Journal of Shaanxi University of Science and Technology 45-48 [3] Wang Lin; Wu Xiaodong; Tang Min; Li Yongjun; Hu Meijiao. An improved graph neural network-based method and system for recommending online education resources [P]. Anhui Education Network Publishing Co., Ltd. 2025. 5-8 [4] Ma Yao. A teaching management method based on English online education [P]. Sichuan Geely University. 2025. 67-69 [5] Gao Xuan; Zhu Xiaofang; Peng Binghui. A real-time online education training personnel management information method and system [P]. Tianjin Hang'an Education Technology Co., Ltd. 2025. 23-26 [6] Kong Chao; Chen Jiahui; Gao Xiangyun; Sun Xianlan; Zhang Liping. Knowledge recommendation method, device, computer equipment and medium for online education platform [P]. Anhui University of Technology. 2025. 3-9 [7] Li Kuihua; Guo Jinting. Research on the integration of inquiry-based classroom and online education platform. Journal of Taiyuan City Vocational and Technical College, 2025(10).34-37 [8] Tang Sun; Liu Xiaojun; He Yichi; Wang Yilei; Yu Sipeng; Sun Yanwu; Lu Beini. Research on the construction of knowledge graph of course points for personalized learning. Automation Application, 2025(18).78-79 [9] Huang Daoran; Zhu Kai; Wang Qinyong. Research on the evaluation of the effect of online education driven by artificial intelligence. Office Automation, 2025(18)3-6 [10] Ma Yao. A teaching management method based on English online education [P]. Sichuan Geely University. 2025. 87-89