Predicting student academic performance at higher education using data mining: A systematic review
Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …
huge amount of educational data that can be used to discover new insights that have a …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
An explainable model for identifying at-risk student at higher education
Nowadays, researchers from various fields have shown great interest in improving the
quality of learning in educational institutes in order to improve student achievement and …
quality of learning in educational institutes in order to improve student achievement and …
A review on machine learning based student's academic performance prediction systems
R Katarya, J Gaba, A Garg… - … Conference on Artificial …, 2021 - ieeexplore.ieee.org
Prediction of academic performance of students beforehand provides scope to universities
to lower their dropout rate and help the students in improving their performance. In this field …
to lower their dropout rate and help the students in improving their performance. In this field …
Prediction of student exam performance using data mining classification algorithms
Student outcomes are of great importance in higher education institutions. Accreditation
bodies focus on them as an indicator to measure the performance and effectiveness of the …
bodies focus on them as an indicator to measure the performance and effectiveness of the …
Weighted voting ensemble for depressive disorder analysis with multi-objective optimization
W Nuankaew, P Nuankaew, D Doenribram… - … Applied Science and …, 2023 - li01.tci-thaijo.org
The Twitter platform is a popular tool that is widely used by researchers to collect data on
users' personal lives, feelings and emotions. These data sets can be further analyzed using …
users' personal lives, feelings and emotions. These data sets can be further analyzed using …
Predictive Analysis of Computer Science Student Performance: An ACM2013 Knowledge Area Approach.
A Almiman, MT Ben Othman - Ingénierie des Systèmes d' …, 2024 - search.ebscohost.com
In the realm of Educational Data Mining (EDM), the predictive analysis of student
performance has emerged as a pivotal area of interest, particularly within computer science …
performance has emerged as a pivotal area of interest, particularly within computer science …
Using Gradient Boosting Algorithms in Predicting Student Academic Performance
E Mashagba, F Al-Saqqar… - … Conference on Business …, 2023 - ieeexplore.ieee.org
Educational institutes carried out a huge research to investigate student academic
performance and analyses the major factors that may affect student performance …
performance and analyses the major factors that may affect student performance …
[图书][B] Machine Learning aplicado al rendimiento académico en educación superior: factores, variables y herramientas
LE Contreras, GM Tarazona Bermúdez… - 2023 - books.google.com
Las herramientas de aprendizaje automático están siendo muy utilizadas por sus buenas
aproximaciones al predecir el rendimiento académico de los estudiantes. Se analiza …
aproximaciones al predecir el rendimiento académico de los estudiantes. Se analiza …
Feature selection techniques and classification algorithms for student performance classification: a review.
MA Hadi Alias, N Hambali… - … Journal of Electrical …, 2024 - search.ebscohost.com
The process of categorizing students' performance based on input data, encompassing
demographic information and final exam results, is recognized as student performance …
demographic information and final exam results, is recognized as student performance …