Deep neural network-based prediction and early warning of student grades and recommendations for similar learning approaches

T Tao, C Sun, Z Wu, J Yang, J Wang - Applied Sciences, 2022 - mdpi.com
Studies reported that if teachers can accurately predict students' follow-up learning effects
via data mining and other means, as per their current performances, and explore the …

Prediction of students' academic performance based on courses' grades using deep neural networks

A Nabil, M Seyam, A Abou-Elfetouh - IEEE Access, 2021 - ieeexplore.ieee.org
Predicting students' academic performance at an early stage of a semester is one of the
most crucial research topics in the field of Educational Data Mining (EDM). Students are …

Improving learning experience of students by early prediction of student performance using machine learning

H Gull, M Saqib, SZ Iqbal… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Early indications regarding students' progress help academics to optimise their learning
strategies and focus on diverse educational practices to make the learning experience …

Machine Learning and Deep Learning-Based Students' Grade Prediction

A Korchi, F Messaoudi, A Abatal, Y Manzali - Operations Research Forum, 2023 - Springer
Predicting student performance in a curriculum or program offers the prospect of improving
academic outcomes. By using effective performance prediction methods, instructional …

Analysis and prediction of influencing factors of college student achievement based on machine learning

D Wang, D Lian, Y Xing, S Dong, X Sun… - Frontiers in Psychology, 2022 - frontiersin.org
To effectively improve students' performance and help educators monitor students' learning
situations, many colleges are committed to establishing systems that explore the influencing …

Predicting high-risk students using learning behavior

T Liu, C Wang, L Chang, T Gu - Mathematics, 2022 - mdpi.com
Over the past few years, the growing popularity of online education has enabled there to be
a large amount of students' learning behavior data stored, which brings great opportunities …

[PDF][PDF] Deep learning with data transformation and factor analysis for student performance prediction

TT Dien, SH Luu, N Thanh-Hai… - International Journal of …, 2020 - researchgate.net
Student performance prediction is one of the most concerning issues in the field of education
and training, especially educational data mining. The prediction supports students to select …

A comparative study of student performance prediction using pre-course data

B Alharbi, F Assiri, B Alharbi - ADCAIJ: Advances in Distributed …, 2021 - torrossa.com
Many students have suffered from completing courses in several higher education institutes
since there is no devoted assistance for those who need exceptional help identifying the …

Course recommendation for students using machine learning

LPJ Rani, DCJW Wise, KV Ajayram… - … on Electronics and …, 2020 - ieeexplore.ieee.org
Choosing an appropriate course is significant for understudies to accomplish their ideal
objectives however the wealth obviously related data accessible makes it hard for …

Building Student Course Performance Prediction Model Based on Deep Learning.

JY Kuo, HT Chung, PF Wang… - Journal of Information …, 2021 - search.ebscohost.com
The deferral of graduation rate in Taiwan's universities is estimated 16%, which will affect
the scheduling of school resources. Therefore, if we can expect to take notice of students' …