Publication
Abstract
With the continuous advancement of the digital transformation of education and the increasing scale of the smart education platform system at all levels and across regions, how to achieve efficient operation monitoring to support the construction of the education big data system has become a key topic to promote the modernization of education. In order to address this challenge, this paper first summarizes the development trend of the smart education platform system and the current status of its operation monitoring. Subsequently, the monitoring agent mechanism and data collection model were proposed, a monitoring framework suitable for the smart education platform was constructed, and the corresponding operation monitoring process was clarified. Furthermore, a set of technical architecture including "multi-dimensional cross-structure" was designed to support the dynamic operation monitoring of the platform system. Finally, the analysis and application path based on the monitoring data of the platform are discussed. This paper conducts research from multiple levels such as system architecture, data model and technical implementation, aiming to provide reference and technical support for relevant institutions to build an education platform monitoring system and explore data-driven educational innovation applications.
Keywords
Smart Education , Platform Monitoring , Educational Technology , Data-driven .
Metadata
Disciplines: Computer Technology Application
Subjects: Computer Application Development
Cite This Article
APA Style
Zhao, Z. (2025). Construction of intelligent perception and operation control framework of education platform. Journal of Computer Technology and Applied Mathematics, 2(3), 1-8. https://doi.org/10.70393/6a6374616d.323839
Acknowledgments
The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.
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DATA AVAILABILITY STATEMENT
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
INFORMED CONSENT STATEMENT
CONFLICT OF INTEREST
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
AUTHOR CONTRIBUTIONS
References
1.
Hu, X., Niu, R., & Tang, T. (2021). Pre-processing of metro signaling equipment fault text based on fusion of lexical domain and semantic domain. Journal of the China Railway Society, 43(02), 78-85.
2.
Huang, C. K. (2012). Learner satisfaction with blog-and wiki-supported writing in an EFL course in Taiwan.
3.
Zhong, Y. N. (2024). Optimizing the Structural Design of Computing Units in Autonomous Driving Systems and Electric Vehicles to Enhance Overall Performance Stability. International Journal of Advance in Applied Science Research, 3, 93-98.
4.
Yonezawa, A., Hoshino, A., & Shimauchi, S. (2017). Inter-and intra-regional dynamics on the idea of universities in East Asia: perspectives from Japan. Studies in Higher Education, 42(10), 1839-1852.
5.
Ma, C., Hou, D., Jiang, J., Fan, Y., Li, X., Li, T., ... & Xiong, H. (2022). Elucidating the Synergic Effect in Nanoscale MoS2/TiO2 Heterointerface for Na‐Ion Storage. Advanced Science, 9(35), 2204837.
6.
Guo, Z. B., Xu, L. F., Zheng, Y. H., Xie, J. S., & Wang, T. T. (2025). Bearing fault diagnostic framework under unknown working conditions based on condition-guided diffusion model. Measurement, 242, Article 115951. https://doi.org/10.1016/j.measurement.2024.115951
7.
Cen, Z., & Zhao, Y. (2024). Investigating the Impact of AI-Driven Voice Assistants on User Productivity and Satisfaction in Smart Homes. Journal of Economic Theory and Business Management, 1(6), 8-14.
8.
Xu, X. S. (2022). SINOFUTURISM: DREAMS AND NIGHTMARES IN POSTSOCIALIST CHINA.
9.
Pearson, W. S. (2021). Student engagement with teacher written feedback on IELTS Writing Task 2 rehearsal essays.
10.
Zhao, Y., & Cen, Z. (2024). Exploring Multimodal Feedback Mechanisms for Improving User Interaction in Virtual Reality Environments. Journal of Industrial Engineering and Applied Science, 2(6), 35-41.
11.
Bultron, A. L. (2014). The use of teacher-written feedback and computer-mediated feedback to enhance Puerto Rican English as a Second Language (ESL) high school students' essay writing (Doctoral dissertation, Universidad del Turabo (Puerto Rico)).
12.
Zhao, Y., & Wu, J. (2024). Enhancing User Engagement and Behavior Change in Healthy Eating Apps: A Human-Computer Interaction Perspective. Journal of Industrial Engineering and Applied Science, 2(6), 27-34.
13.
Zhao, Y., Qu, P., Xiao, J., Wu, J., & Zhang, B. (2024). Optimizing Telehealth Services with LILM-Driven Conversational Agents: An HCI Evaluation. Journal of Industrial Engineering and Applied Science, 2(4), 122-131.
14.
Yuan, Y., Li, H., & Sawaengdist, A. (2024). The impact of ChatGPT on learners in English academic writing: Opportunities and challenges in education. Language Learning in Higher Education, 14(1), 41-56.
15.
Perez Vico, E., Hellsmark, H., & Jacob, M. (2015). Enacting knowledge exchange: a context dependent and ‘role-based’typology for capturing utility from university research. Prometheus, 33(1), 3-20.
16.
Zhao, Y., Wu, J., Qu, P., Zhang, B., & Yan, H. (2024). Assessing User Trust in LLM-based Mental Health Applications: Perceptions of Reliability and Effectiveness. Journal of Computer Technology and Applied Mathematics, 1(2), 19-26.
17.
Huang, C. L., & Huang, C. C. (2021). Study on customized knowledge graph of student pilot learning in FITS training. Journal of Intelligent & Fuzzy Systems, 40(4), 7969-7979.
18.
Jiang, C., Ding, R., Cui, X., Xie, Y., Zhao, Z., Wang, X., & Qiao, Y. Industry enters the XPU era: from an educational view.
19.
Sheng, Z., Wu, F., Zuo, X., Li, C., Qiao, Y., & Lei, H. (2024, November). Research on the LLM-Driven Vulnerability Detection System Using LProtector. In 2024 IEEE 4th International Conference on Data Science and Computer Application (ICDSCA) (pp. 192-196). IEEE.
20.
Sirico, F., Fernando, F., Di Paolo, F., Adami, P. E., Signorello, M. G., Sannino, G., ... & Biffi, A. (2019). Exercise stress test in apparently healthy individuals− where to place the finish line? The Ferrari corporate wellness programme experience. European Journal of Preventive Cardiology, 26(7), 731-738.
21.
Zhang, W., Huang, J., Wang, R., Wei, C., Huang, W., & Qiao, Y. (2024, October). Integration of Mamba and Transformer-MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics. In 2024 International Conference on Electrical, Communication and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
22.
Van der Pol, J., Van den Berg, B. A. M., Admiraal, W. F., & Simons, P. R. J. (2008). The nature, reception, and use of online peer feedback in higher education. Computers & Education, 51(4), 1804-1817.
23.
Qiao, Y., Li, K., Lin, J., Wei, R., Jiang, C., Luo, Y., & Yang, H. (2024, June). Robust domain generalization for multi-modal object recognition. In 2024 5th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) (pp. 392-397). IEEE.
24.
Shahbazi, S. (2019). Finding the right fit: Exploring ESL teachers and students’ perceptions of iLit ELL, a technology-based literacy program’s use with high school English language learners (Doctoral dissertation, University of Windsor (Canada)).
25.
Su, J., Jiang, C., Jin, X., Qiao, Y., Xiao, T., Ma, H., ... & Lin, J. (2024). Large language models for forecasting and anomaly detection: A systematic literature review. arXiv preprint arXiv:2402.10350.
26.
Wei, P., Wang, X., & Dong, H. (2023). The impact of automated writing evaluation on second language writing skills of Chinese EFL learners: A randomized controlled trial. Frontiers in Psychology, 14, 1249991.
27.
Wang, X., Qiao, Y., Xiong, J., Zhao, Z., Zhang, N., Feng, M., & Jiang, C. (2024). Advanced network intrusion detection with tabtransformer. Journal of Theory and Practice of Engineering Science, 4(03), 191-198.
28.
Kara, P. A., Ognjanovic, I., Maindorfer, I., Mantas, J., Wippelhauser, A., Šendelj, R., ... & Bokor, L. (2023). The present and future of a digital Montenegro: Analysis of C-ITS, agriculture, and healthcare. Eng, 4(1), 341-366.
29.
Zhang, N., Xiong, J., Zhao, Z., Feng, M., Wang, X., Qiao, Y., & Jiang, C. (2024). Dose my opinion count? A CNN-LSTM approach for sentiment analysis of Indian general elections. Journal of Theory and Practice of Engineering Science, 4(05), 40-50.
30.
Seliem, S., & Ahmed, A. (2009). Missing: Electronic Feedback in Egyptian EFL Essay Writing Classes. Online Submission.
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