Academic Performance Prediction of At-Risk Students using Machine Learning Techniques

TK Shoukath - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Imparting quality education is a top priority of higher education institutions. Leaving at risk
students unattended would adversely impact the quality of education. Predicting the …

Development of a stacking-based ensemble machine learning for detection of depression in Parkinson's disease: Preliminary research

H Byeon - Biology and Life Sciences Forum, 2021 - mdpi.com
This preliminary study used the stacking ensemble to explore the major elements (factors)
which could predict depression in patients with Parkinson's disease and presented baseline …

A Recent Trends in eBooks Recommender Systems: A Comparative Survey

AMS Saleh, AY Taqa - Iraqi Journal of Science, 2024 - ijs.uobaghdad.edu.iq
The great progress in information and communication technology has led to a huge increase
in data available. Traditional systems can't keep up with this growth and can't handle this …

Education data analysis using ensemble models

B Janet, A Mitra, S Titus - 2022 4th International Conference …, 2022 - ieeexplore.ieee.org
In this evolving era of machine learning, educational data mining has immense potential in
transforming the pedagogy methods. In higher educational institutes, improvement of …

A Co-LNP Academic Award Prediction Mechanism based on the CEw-LSTM Model

Y Wang, J Yu - Procedia Computer Science, 2023 - Elsevier
The prediction of academic award winners is a challenging task because of the complexities
of establishing the appropriate evaluation system and the difficulties in modeling. Although …

[引用][C] An Analysis of Students' failing in University Based on Least Square Method and a New Logistic Regression Function

Z Xianghan, Z Qunli - Mathematical Problems in Engineering, 2022 - Hindawi

Una revisión sobre la predicción del rendimiento académico mediante métodos de ensamble

DLM Rodríguez, JAC Silva, LEC Bravo - Ingeniería Solidaria, 2022 - revistas.ucc.edu.co
Introducción: El presente artículo es producto de la investigación “Métodos de ensamble
para estimar el ren-dimiento académico de estudiantes de educación superior” …

An Ensemble Modeling Approach to Enhance Grade Prediction in Academic Engineering Programming Courses

K Mahboob, SAS Natha, SS Zia, P Bhatti… - VFAST Transactions on …, 2023 - vfast.org
Predicting the future academic grades of students can play a pivotal role in enhancing their
performance in specific courses, consequently yielding a positive impact on their …

Predicting engineering students' academic performance using ensemble classifiers-a preliminary finding/A'zraa Afhzan Ab Rahim and Norlida Buniyamin

N Buniyamin - Journal of Electrical and Electronic Systems …, 2022 - ir.uitm.edu.my
Current literature review indicates a void of an accurate predictive tool to assist educators
and administrators in analyzing and monitoring student performance in Malaysia …

Developing and evaluating prediction models of architectural work performance by combining earned value methods and support vector machine

M Nurannisa, AM Hajji, A Larasati… - AIP Conference …, 2021 - pubs.aip.org
The concept of project management helps minimize the risk of loss for project managers.
This study aims to develop a model for evaluating the performance of architectural work by …