Page 283 - SDMD CNKT va CNTT trong tien trinh CNH_HDH DBSCL

Bhardwaj, P., Gupta, P. K., Panwar, H., Siddiqui, M. K., Morales-Menendez, R., &
Bhaik, A. (2021). Application of Deep Learning on Student Engagement in e-
learning environments. Computers & Electrical Engineering, 93, 107277.
https://doi.org/https://doi.org/10.1016/j.compeleceng.2021.107277
bin Mat, U., Buniyamin, N., Arsad, P. M., & Kassim, R. (2013, December). An
overview of using academic analytics to predict and improve students'
achievement: A proposed proactive intelligent intervention. In 2013 IEEE 5th
conference on engineering education (ICEED) (pp. 126-130). IEEE.
Bộ Giáo dục và Đào tạo. (2021). Thông tư quy định về quản lý và tổ chức dạy học
trực tuyến trong cơ sở giáo dục phổ thông và cơ sở giáo dục thường xuyên (Số
09/2021/TT-BGDĐT).
Chavez, H., Chavez-Arias, B., Contreras-Rosas, S., Alvarez-Rodríguez, J. M., &
Raymundo, C. (2023). Artificial neural network model to predict student
performance using nonpersonal information [Original Research]. Frontiers in
Education, 8. https://doi.org/10.3389/feduc.2023.1106679
Dien, T. T., Thanh-Hai, N., & Thai-Nghe, N. (2022). An approach for learning
resource recommendation using deep matrix factorization. Journal of
Information and Telecommunication, 6(4), 381–398. https://doi.org/10.1080/
24751839.2022.2058250
Dien, T. T., Thanh-Hai, N., & Thai-Nghe, N. (2023). Novel approaches for searching
and recommending learning resources. Cybern. Inf. Technol., 23(2), 151–169.
https://doi.org/10.2478/cait-2023-0019
Dũng, V. (2023). Mục tiêu đến năm 2025, tỷ trọng lớp học trực tuyến trong trường
đại học đạt 20%. https://giaoduc.net.vn/muc-tieu-den-nam-2025-ty-trong-lop-
hoc-truc-tuyen-trong-truong-dh-dat-20-post234676.gd
Fu, M., Qu, H., Yi, Z., Lu, L., & Liu, Y. (2019). A novel deep learning-based
collaborative filtering model for recommendation system. IEEE Transactions
on Cybernetics, 49(3), 1084-1096. https://doi.org/10.1109/TCYB.2018.
2795041
Guo, B., Zhang, R., Xu, G., Shi, C., & Yang, L. (2015, July). Predicting students
performance in educational data mining. In 2015 international symposium on
educational technology (ISET) (pp. 125-128). IEEE.
Hoang, H. T. T., Ha, C. N., Nguyen, D. T., Nguyen, T. N., Huynh, T. N., Phan, T.
T., & Nguyen, H. T. (2022, November). Poses classification in a Taekwondo
lesson using skeleton data extracted from videos with shallow and deep learning
architectures. In International Conference on Future Data and Security
Engineering (pp. 447-461). Singapore: Springer Nature Singapore.

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