[HTML][HTML] An ensemble prediction model for potential student recommendation using machine learning
L Yan, Y Liu - Symmetry, 2020 - mdpi.com
Student performance prediction has become a hot research topic. Most of the existing
prediction models are built by a machine learning method. They are interested in prediction …
prediction models are built by a machine learning method. They are interested in prediction …
[PDF][PDF] Performance prediction for students: A multi-strategy approach
This paper presents a study on Predicting Student Performance (PSP) in academic systems.
In order to solve the task, we have proposed and investigated different strategies …
In order to solve the task, we have proposed and investigated different strategies …
[HTML][HTML] 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 …
academic stakeholders in higher education institutes. Predictions can be made by using …
A university admission prediction system using stacked ensemble learning
For an aspiring graduate student, shortlisting the universities to apply to is a difficult problem.
Since an application is extremely dynamic, students often tend to wonder if their profile …
Since an application is extremely dynamic, students often tend to wonder if their profile …
[PDF][PDF] Predicting student performance with multi-level representation in an intelligent academic recommender system using backpropagation neural network
This article aimed to develop a classification model for predicting student academic
performance by representing outputs into various multi-level representations with better …
performance by representing outputs into various multi-level representations with better …
[HTML][HTML] 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 …
situations, many colleges are committed to establishing systems that explore the influencing …
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 …
technology, educational data increases sharply. It is difficult for educational researchers to …
Comparative analysis of supervised machine learning algorithms to build a predictive model for evaluating students' performance
In recent years, the world's population is increasingly demanding to predict the future with
certainty, predicting the right information in any area is becoming a necessity. One of the …
certainty, predicting the right information in any area is becoming a necessity. One of the …
[PDF][PDF] Enhancing Student's Performance Classification Using Ensemble Modeling
A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …
institutions to improve results and provide personalized support of students. However, the …
A recommender system for predicting students' admission to a graduate program using machine learning algorithms
In the 21st century, University educations are becoming a key pillar of social and economic
life. It plays a major role not only in the educational process but also in the ensuring of two …
life. It plays a major role not only in the educational process but also in the ensuring of two …