Next-term student performance prediction: A recommender systems approach

M Sweeney, H Rangwala, J Lester, A Johri - arXiv preprint arXiv …, 2016 - arxiv.org
An enduring issue in higher education is student retention to successful graduation. National
statistics indicate that most higher education institutions have four-year degree completion …

A statistical approach to graduate admissions' chance prediction

N Chakrabarty, S Chowdhury, S Rana - Innovations in Computer Science …, 2020 - Springer
In the current scenario, grad students often experience difficulty in choosing a proper
institution for pursuing masters based on their academic performances. Although there are …

Grade prediction of student academic performance with multiple classification models

X Zhang, R Xue, B Liu, W Lu… - 2018 14th International …, 2018 - ieeexplore.ieee.org
The achievement evaluation and development prediction of college students are the core of
student management in universities. The traditional student evaluation method only focuses …

Student performance prediction using machine learning

S Priya, T Ankit, D Divyansh - Advances in parallel computing …, 2021 - books.google.com
Performance analysis of learning outcomes is a system that will aim for excellence at all
levels and dimensions of the student's field of interest. This paper suggests a …

Improving student academic performance prediction models using feature selection

W Nuankaew, J Thongkam - 2020 17th International …, 2020 - ieeexplore.ieee.org
This paper presents methods to improve the prediction of student academic performance
using feature selection by removing misclassified instances and Synthetic Minority Over …

Modeling multiple distributions of student performances to improve predictive accuracy

Y Gong, JE Beck, C Ruiz - … , UMAP 2012, Montreal, Canada, July 16-20 …, 2012 - Springer
In this paper, we propose a general approach to improve student modeling predictive
accuracy. The approach was designed based on the assumption that student performance is …

Matrix and tensor factorization for predicting student performance

N Thai-Nghe, L Drumond, T Horváth… - International …, 2011 - scitepress.org
Recommender systems are widely used in many areas, especially in e-commerce. Recently,
they are also applied in technology enhanced learning such as recommending resources …

Forecasting students' performance using an ensemble SSL algorithm

IE Livieris, V Tampakas, N Kiriakidou… - … and Innovation in …, 2019 - Springer
Educational data mining is a growing academic research area which aims to gain significant
insights on student behavior, interactions and performance by applying data mining …

FFT based ensembled model to predict ranks of higher educational institutions

N Agarwal, DK Tayal - Multimedia Tools and Applications, 2022 - Springer
Predicting international rankings has always been a demanding area for Universities and
Higher Educational Institutions (HEIs) all over the world in the recent decade. In this …

A machine learning approach for graduate admission prediction

A AlGhamdi, A Barsheed, H AlMshjary… - Proceedings of the 2020 …, 2020 - dl.acm.org
With the increase in the number of graduates who wish to pursue their education, it becomes
more challenging to get admission to the students' dream university. Newly graduate …