Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)

N Sghir, A Adadi, M Lahmer - Education and information technologies, 2023 - Springer
The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …

A machine learning prediction of academic performance of secondary school students using radial basis function neural network

OA Olabanjo, AS Wusu, M Manuel - Trends in Neuroscience and Education, 2022 - Elsevier
Background Predictive models for academic performance forecasting have been a useful
tool in the improvement of the administrative, counseling and instructional personnel of …

Predicting academic performance using an efficient model based on fusion of classifiers

A Siddique, A Jan, F Majeed, AI Qahmash, NN Quadri… - Applied Sciences, 2021 - mdpi.com
In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …

Predicting Master's students' academic performance: an empirical study in Germany

S Alturki, L Cohausz, H Stuckenschmidt - Smart Learning Environments, 2022 - Springer
The tremendous growth in electronic educational data creates the need to have meaningful
information extracted from it. Educational Data Mining (EDM) is an exciting research area …

Early prediction of Student academic performance based on Machine Learning algorithms: A case study of bachelor's degree students in KSA

M Ben Said, Y Hadj Kacem, A Algarni… - Education and …, 2024 - Springer
In the current educational landscape, where large amounts of data are being produced by
institutions, Educational Data Mining (EDM) emerges as a critical discipline that plays a …

Identifying student profiles within online judge systems using explainable artificial intelligence

JR Rico-Juan, VM Sánchez-Cartagena… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Online Judge (OJ) systems are typically considered within programming-related courses as
they yield fast and objective assessments of the code developed by the students. Such an …

Academic performance prediction using machine learning: A comprehensive & systematic review

P Chakrapani, D Chitradevi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Educational Institutions face numerous challenges today in providing quality and student-
centric education to students. Despite the huge volume of data available with educational …

[PDF][PDF] A review: Data mining techniques and its applications

AA Maryoosh, EM Hussein - International Journal of Computer …, 2022 - academia.edu
Data mining is a set of processes by which knowledge is extracted from huge amounts of
data. Data mining is used to extract useful patterns and hidden information from this data …

[PDF][PDF] Developing a predictive model for selecting academic track via gpa by using classification algorithms: Saudi universities as case study

T Althubiti, TM Ahmed, MO Alassafi - International Journal of …, 2023 - academia.edu
The main motivation of any educational institution is to provide quality education. Therefore,
choosing an academic track can be clearly seen as an obstacle, for students and …