Author:
Srivastava Neeraj Kumar,Pandey Prafull,Mishra Manoj Kumar,Mishra Vikas
Publisher
Springer Nature Singapore
Reference16 articles.
1. Wook M, Yusof ZM (2016) Educational data mining acceptance among undergraduate students. Educ Inf Technol. https://doi.org/10.1007/s10639-016-9485-x
2. Sorour SE, Mine T, Goda K, Hirokawa S (2014) Predicting students’ grades based on free style comments data by artificial neural network. IEEE
3. Naren J, Elakia GA (2014) Application of data mining in educational database for predicting behavioural patterns of the students. Int J Comp Sci Inf Technol (IJCSIT) 5(3):4649–4652
4. Tarika A, Aissab H, Yousef F (2021) Artificial intelligence and machine learning to predict student performance during the COVID-19”. In: 3rd international workshop on big data and business intelligence, Warsaw, Poland
5. Uskov VL, Bakken JP, Shah A, Byerly A (2019) Machine learning based predictive analytics of student academic performance in STEM education. In: IEEE global engineering education conference