Predictive analysis algorithm in educational technology: student behavior prediction and intervention strategy design

[1] ari-GrgiInes, GrubiiAni, eriLjiljana, & Robinsontimothy, J. (2020). Student clustering based on learning behavior data in the intelligent tutoring system. International Journal of Distance Education Technologies (IJDET). Search in Google Scholar

[2] Chen, Y., Wei, G., Liu, J., Chen, Y., Zheng, Q., & Tian, F., et al. (2023). A prediction model of student performance based on self-attention mechanism. Knowledge and information systems. Search in Google Scholar

[3] Lee, C. A., Tzeng, J. W., Huang, N. F., & Su, Y. S. (2021). Prediction of student performance in massive open online courses using deep learning system based on learning behaviors. Educational Technology & Society, 24. Search in Google Scholar

[4] Hooshyar, D., & Yang, Y. (2021). Predicting course grade through comprehensive modelling of students’ learning behavioral pattern. Complexity, 2021(1), 1-12. Search in Google Scholar

[5] Xie, S. T., He, Z. B., Chen, Q., Chen, R. X., Kong, Q. Z., & Song, C. Y. (2021). Predicting learning behavior using log data in blended teaching. Scientific Programming. Search in Google Scholar

[6] Wang, X., Zhu, Z., Yu, J., Zhu, R., Li, D. Q., & Guo, Q. (2018). A learning resource recommendation algorithm based on online learning sequential behavior. International Journal of Wavelets Multiresolution and Information Processing, 17. Search in Google Scholar

[7] Zhao, H. (2022). Teaching mode in the management of higher vocational colleges in the era of big data. Mobile information systems(Pt.15), 2022. Search in Google Scholar

[8] Zhang, W., Huang, X., Wang, S., Shu, J., & Chen, H. (2017). Student performance prediction via online learning behavior analytics. IEEE. Search in Google Scholar

[9] Wang, W., Sandaran, S. C., Sabitha, R., & Thilak, K. D. (2022). Student behavior simulation in english online education based on reinforcement learning. Advances in Data Science and Adaptive Analysis, 14(03n04). Search in Google Scholar

[10] Pappas, I. O., Giannakos, M. N., Jaccheri, L., & Sampson, D. G. (2017). Assessing student behavior in computer science education with an fsqca approach: the role of gains and barriers. ACM Transactions on Computing Education, 17(2), 10. Search in Google Scholar

[11] Li, G., Alfred, R., & Wang, X. (2021). Student behavior analysis and research model based on clustering technology. Hindawi Limited. Search in Google Scholar

[12] Dooley, L., & Makasis, N. (2020). Understanding student behavior in a flipped classroom: interpreting learning analytics data in the veterinary pre-clinical sciences. Education Sciences(10). Search in Google Scholar

[13] Bundasak, S. (2020). Student behavior analysis affecting learning achievement of information technology and computer science students. EJournal Publishing(2). Search in Google Scholar

[14] Din, S. (2018). Human behavior analysis based on big data analytics in cyber-physical system: student research abstract. Proceedings of the 33rd Annual ACM Symposium on Applied Computing. Search in Google Scholar

[15] Fuente-Mella, H. D. L., Claudia Guzmán Gutiérrez, Crawford, K., Foschino, G., & Elortegui, C. (2020). Analysis and prediction of engineering student behavior and their relation to academic performance using data analytics techniques. Applied Sciences, 10(7114). Search in Google Scholar

[16] Nugumanova, A., M., M. M., & Baiburin, Y. (2019). Exploration of student behavior patterns through digital footprints. Al-Farabi Kazakh National University(3). Search in Google Scholar

[17] Fan, J., Zhang, M., Sharma, A., & Kukkar, A. (2022). Data mining applications in university information management system development. Journal of Intelligent Systems, 31(1), 207-220. Search in Google Scholar

[18] Chen, L., Wang, L., & Zhou, Y. (2022). Research on data mining combination model analysis and performance prediction based on students’ behavior characteristics. Mathematical Problems in Engineering, 2022. Search in Google Scholar

[19] Manjula, V. A. N. N. (2018). An effective cure clustering algorithm in education data mining techniques to valuate student’s performance. International Journal of Applied Engineering Research, 13(10aPta2). Search in Google Scholar

[20] Sun, X., Fu, Y., Zheng, W., Huang, Y., & Li, Y. (2022). Big educational data analytics, prediction and recommendation: a survey. Journal of Circuits, Systems and Computers. Search in Google Scholar

[21] Du, X., Ge, S., & Wang, N. (2022). Research on academic prediction and intervention from the perspective of educational big data. International Journal of Information and Communication Technology Education: An Official Pubblication of the Information Resources Management Association. Search in Google Scholar

[22] Chinsook, K., Khajonmote, W., Klintawon, S., Sakulthai, C., Leamsakul, W., & Jantakoon, T. (2022). Big data in higher education for student behavior analytics (big data-he-sba system architecture). Higher Education Studies, 12. Search in Google Scholar