Prediction of students' academic performance based on courses' grades using deep neural networks
A Nabil, M Seyam, A Abou-Elfetouh - IEEE Access, 2021 - ieeexplore.ieee.org
Predicting students' academic performance at an early stage of a semester is one of the
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
most crucial research topics in the field of Educational Data Mining (EDM). Students are …
Transforming educational insights: Strategic integration of federated learning for enhanced prediction of student learning outcomes
Numerous educational institutions utilize data mining techniques to manage student
records, particularly those related to academic achievements, which are essential in …
records, particularly those related to academic achievements, which are essential in …
[PDF][PDF] Ensemble-Learning techniques for predicting student performance on video-based learning
The transformation of education norms from face-to-face teaching era to the Massive Open
Online Courses (MOOCs) era has promoted the rise of the big data era in educational data …
Online Courses (MOOCs) era has promoted the rise of the big data era in educational data …
[PDF][PDF] Convolutional neural network for predicting student academic performance in intelligent tutoring system
F Alshaikh, N Hewahi - … Journal of Computing and Digital Systems, 2024 - researchgate.net
One of the most significant research areas in education and Artificial Intelligence (AI) is the
earlier prediction of students' academic achievement. Limited studies have been conducted …
earlier prediction of students' academic achievement. Limited studies have been conducted …
Application of the Profile Matching Analysis Method in Decision Support Systems for Study Program Recommendations
RD Rasyada, N Nurdin… - Sistemasi: Jurnal Sistem …, 2024 - sistemasi.ftik.unisi.ac.id
Currently, many prospective students are still confused about which study program to
choose. One of the problematic factors is the lack of references from prospective students …
choose. One of the problematic factors is the lack of references from prospective students …
Deep auto encoder based on a transient search capsule network for student performance prediction
Prediction of Student performance through a machine predicts a student's future success. It
can be considered an essential procedure to determine the students' academic excellence …
can be considered an essential procedure to determine the students' academic excellence …
[PDF][PDF] Comparing different oversampling methods in predicting multi-class educational datasets using machine learning techniques
Predicting students' academic performance is a critical research area, yet imbalanced
educational datasets, characterized by unequal academic-level representation, present …
educational datasets, characterized by unequal academic-level representation, present …
Academic course planning recommendation and students' performance prediction multi-modal based on educational data mining techniques
A Kord, A Aboelfetouh, SM Shohieb - Journal of Computing in Higher …, 2025 - Springer
Abstract Educational Data Mining (EDM) has recently received significant attention, leading
to the development of various Data Mining (DM) methodologies for extracting hidden …
to the development of various Data Mining (DM) methodologies for extracting hidden …
An evolutionary algorithm-based optimization ensemble learning model for predicting academic performance
The significant growth of the Massive Open Online Course (MOCC) over last decade has
promoted the rise of the educational data mining era in online education domain. This …
promoted the rise of the educational data mining era in online education domain. This …
A model for new media data mining and analysis in online English teaching using long short-term memory (LSTM) network
C Chen, M Aleem - PeerJ Computer Science, 2024 - peerj.com
To maintain a harmonious teacher-student relationship and enable educators to gain a more
insightful understanding of students' learning progress, this study collects data from learners …
insightful understanding of students' learning progress, this study collects data from learners …