Applications of convolutional neural networks in education: A systematic literature review
Applying artificial intelligence in education is relevant to addressing the current educational
crises. Many available solutions apply Convolutional Neural Networks (CNNs) to help …
crises. Many available solutions apply Convolutional Neural Networks (CNNs) to help …
[HTML][HTML] The Power of Deep Learning Techniques for Predicting Student Performance in Virtual Learning Environments: A Systematic Literature Review
With the advances in Artificial Intelligence (AI) and the increasing volume of online
educational data, Deep Learning techniques have played a critical role in predicting student …
educational data, Deep Learning techniques have played a critical role in predicting student …
Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms
Predicting student performance is crucial in higher education, as it facilitates course
selection and the development of appropriate future study plans. The process of supporting …
selection and the development of appropriate future study plans. The process of supporting …
Analysis of the factors affecting student performance using a neuro-fuzzy approach
Predicting students' academic performance and the factors that significantly influence it can
improve students' completion and graduation rates, as well as reduce attrition rates. In this …
improve students' completion and graduation rates, as well as reduce attrition rates. In this …
[PDF][PDF] Enhancing Student's Performance Classification Using Ensemble Modeling
A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …
institutions to improve results and provide personalized support of students. However, the …
A deep learning model to predict Student learning outcomes in LMS using CNN and LSTM
AS Aljaloud, DM Uliyan, A Alkhalil… - IEEE …, 2022 - ieeexplore.ieee.org
Learning Management Systems (LMSs) are increasingly utilized for the administration,
tracking, and reporting of educational activities. One such widely used LMS in higher …
tracking, and reporting of educational activities. One such widely used LMS in higher …
An automatic prediction of students' performance to support the university education system: a deep learning approach
Predicting student performance is a critical aspect of educational systems. Although
forecasting a student's future performance is essential in many applications, it is a …
forecasting a student's future performance is essential in many applications, it is a …
Predicting and comparing students' online and offline academic performance using machine learning algorithms
B Holicza, A Kiss - Behavioral Sciences, 2023 - mdpi.com
Due to COVID-19, the researching of educational data and the improvement of related
systems have become increasingly important in recent years. Educational institutions seek …
systems have become increasingly important in recent years. Educational institutions seek …
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 …
A Hybrid Framework of Deep Learning Techniques to Predict Online Performance of Learners during COVID-19 Pandemic
COVID-19's rapid spread has disrupted educational initiatives. Schools worldwide have
been implementing more possibilities for distance learning because of the worldwide …
been implementing more possibilities for distance learning because of the worldwide …