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 …
[PDF][PDF] Tinjauan pustaka sistematis: implementasi metode deep learning pada prediksi kinerja murid
MH Diponegoro… - Jurnal …, 2021 - download.garuda.kemdikbud.go.id
The use of machine learning, which is one of the implementations in the field of artificial
intelligence, has penetrated into various fields, including education. By using a combination …
intelligence, has penetrated into various fields, including education. By using a combination …
Predictive modelling and analytics of students' grades using machine learning algorithms
YT Badal, RK Sungkur - Education and information technologies, 2023 - Springer
The outbreak of COVID-19 has caused significant disruption in all sectors and industries
around the world. To tackle the spread of the novel coronavirus, the learning process and …
around the world. To tackle the spread of the novel coronavirus, the learning process and …
Diverging hybrid and deep learning models into predicting students' performance in smart learning environments–a review
E Mbunge, S Fashoto, R Mafumbate… - Pan-African Artificial …, 2021 - Springer
COVID-19 continues to overwhelm the education sectors globally posing threats to progress
made towards inclusive and equity education in the previous years. Before COVID-19 …
made towards inclusive and equity education in the previous years. Before COVID-19 …
[PDF][PDF] The effectiveness of using deep learning algorithms in predicting students achievements
M Akour, H Alsghaier, O Al Qasem - Indonesian Journal of …, 2020 - researchgate.net
Educational Data Mining (EDM) research has taking an important place as it helps in
exposing useful knowledge from educational data sets to be employed and serve several …
exposing useful knowledge from educational data sets to be employed and serve several …
Explainable student agency analytics
Several studies have shown that complex nonlinear learning analytics (LA) techniques
outperform the traditional ones. However, the actual integration of these techniques in …
outperform the traditional ones. However, the actual integration of these techniques in …
Aggregating time series and tabular data in deep learning model for university students' gpa prediction
Current approaches of university students' Grade Point Average (GPA) prediction rely on the
use of tabular data as input. Intuitively, adding historical GPA data can help to improve the …
use of tabular data as input. Intuitively, adding historical GPA data can help to improve the …
A Dual-Mode Grade Prediction Architecture for Identifying At-Risk Students
Predicting student performance in an academic institution is important for detecting at-risk
students and to administer early intervention strategies. In this article, we develop a new …
students and to administer early intervention strategies. In this article, we develop a new …
Modeling Learners to Early Predict Their Performance in Educational Computer Games
Data mining approaches have proven to be successful in improving learners' interaction with
educational computer games. Despite the potential of predictive modelling in providing …
educational computer games. Despite the potential of predictive modelling in providing …
Predicting students' academic performance using machine learning techniques: a literature review
A Nabil, M Seyam… - International Journal of …, 2022 - inderscienceonline.com
The amount of students' data stored in educational databases is increasing rapidly. These
databases contain hidden patterns and useful information about students' behaviour and …
databases contain hidden patterns and useful information about students' behaviour and …