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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
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
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
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
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
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
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
Zhang, W., Huang, X., Wang, S., Shu, J., & Chen, H. (2017). Student performance prediction via online learning behavior analytics. IEEE.Search in Google Scholar
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
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
Li, G., Alfred, R., & Wang, X. (2021). Student behavior analysis and research model based on clustering technology. Hindawi Limited.Search in Google Scholar
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
Bundasak, S. (2020). Student behavior analysis affecting learning achievement of information technology and computer science students. EJournal Publishing(2).Search in Google Scholar
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
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
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
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
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
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
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
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
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