Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
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 …
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
Background Predictive models for academic performance forecasting have been a useful
tool in the improvement of the administrative, counseling and instructional personnel of …
tool in the improvement of the administrative, counseling and instructional personnel of …
Predicting academic performance using an efficient model based on fusion of classifiers
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 …
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 …
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
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 …
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 …
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 …
centric education to students. Despite the huge volume of data available with educational …
Penilaian Kinerja Akurasi Metode Klasifikasi dalam Dataset Penerimaan Mahasiswa Baru Universitas XYZ
IGT Isa, F Elfaladonna - JEPIN (Jurnal Edukasi dan Penelitian …, 2022 - jurnal.untan.ac.id
[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 …
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 …
choosing an academic track can be clearly seen as an obstacle, for students and …