[PDF][PDF] Ensemble Machine Learning System for Student AcademicPerformance Prediction.

Y Wang, A Ding, K Guan, Y Du - EDM (Workshops), 2021 - ceur-ws.org
Educational data mining is essential to our lives, as it provides the tools for us to analyze
education-related problems and achieve better education. Particularly under COVID-19, the …

A comparative study on student performance prediction using machine learning

Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …

CatBoost—An ensemble machine learning model for prediction and classification of student academic performance

A Joshi, P Saggar, R Jain, M Sharma… - Advances in Data …, 2021 - World Scientific
In every educational institution, predicting pupils' performance is a vital responsibility. Due to
this, a variety of data mining techniques, such as clustering, classification, and regression …

Student performance prediction—a data science approach

Y Sri Lalitha, Y Gayathri, MV Aditya Nag… - Modern Approaches in …, 2021 - Springer
Education is necessary to improve an individuals' life with quality and brilliance. The
education system has changed from conventional Teaching/Learning to activity based …

Student's Academic Performance Prediction Using Ensemble Methods Through Educational Data Mining

S Vaheed, R Pratap Singh, P Nayak… - … Applications, Volume 1 …, 2022 - Springer
Student academic performance (SAP) is one of the most important factors that influence the
attainment of an educational institution. Educational data mining (EDM) follows the principle …

Multi-model stacking ensemble learning for student achievement prediction

T Fang, S Huang, Y Zhou… - 2021 12th International …, 2021 - ieeexplore.ieee.org
Educational data mining has always been a direction of big data applications, among which
the student achievement prediction is one of the research focuses. The research has two …

Auto-generated ensemble model for predicting student success

H Zeineddine, U Braendle, A Farah - … on Data Science, E-Learning and …, 2019 - dl.acm.org
Students' success has recently become a primary strategic objective for most intuitions of
higher education. With budget cuts and ramping operational costs, universities are paying …

Two-layer ensemble prediction of students' performance using learning behavior and domain knowledge

SA Priyambada, T Usagawa… - Computers and Education …, 2023 - Elsevier
The ability to predict students' performance is important not only for the students but also for
academic stakeholders in higher education institutes. Predictions can be made by using …

Machine Learning Approaches for Student Performance Prediction

S Gupta, J Agarwal - 2022 10th International Conference on …, 2022 - ieeexplore.ieee.org
India's Education system is very old and due to a large population of students in India, there
are some serious issues in analyzing and predicting students' performance. In the Indian …

A Survey of Different Supervised Learning-Based Classification Models for Student's Academic Performance Prediction

S Kumar, R Sachdeva - … and Communications: Proceedings of ICICC 2022 …, 2022 - Springer
Despite delivering high-quality learning, the need to evaluate student's academic
achievement has become increasingly essential to optimize the integrity and aid learners to …