Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system
Predicting students at risk of academic failure is valuable for higher education institutions to
improve student performance. During the pandemic, with the transition to compulsory …
improve student performance. During the pandemic, with the transition to compulsory …
Machine learning-based hybrid ensemble model achieving precision education for online education amid the lockdown period of COVID-19 pandemic in Pakistan
Institutions of higher learning have made persistent efforts to provide students with a high-
quality education. Educational data mining (EDM) enables academic institutions to gain …
quality education. Educational data mining (EDM) enables academic institutions to gain …
Predicting student performance to improve academic advising using the random forest algorithm
M Nachouki, M Abou Naaj - International Journal of Distance …, 2022 - igi-global.com
The Covid-19 pandemic constrained higher education institutions to switch to online
teaching, which led to major changes in students' learning behavior, affecting their overall …
teaching, which led to major changes in students' learning behavior, affecting their overall …
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 …
Enhancement of E-Learning student's performance based on ensemble techniques
Educational institutions have dramatically increased in recent years, producing many
graduates and postgraduates each year. One of the critical concerns of decision-makers is …
graduates and postgraduates each year. One of the critical concerns of decision-makers is …
Predictive Modeling for Student Performance: Harnessing Machine Learning to Forecast Academic Marks
CK Suryadevara - International Journal of Research in Engineering …, 2018 - papers.ssrn.com
This research investigates the impact of machine learning on higher education teaching and
learning, as well as strategies for enhancing the learning environment. There has been a …
learning, as well as strategies for enhancing the learning environment. There has been a …
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 …
Application of educational data mining approach for student academic performance prediction using progressive temporal data
R Trakunphutthirak, VCS Lee - Journal of Educational …, 2022 - journals.sagepub.com
Educators in higher education institutes often use statistical results obtained from their
online Learning Management System (LMS) dataset, which has limitations, to evaluate …
online Learning Management System (LMS) dataset, which has limitations, to evaluate …
[PDF][PDF] Improving dropout forecasting during the COVID-19 pandemic through feature selection and multilayer perceptron neural network
Nowadays, online education in universities is mature from the situation of COVID-19 spread.
It has greatly changed the learning environment in the classroom and has also resulted in …
It has greatly changed the learning environment in the classroom and has also resulted in …
A systematic literature review of student'performance prediction using machine learning techniques
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …
contributing state-of-the-art methods, techniques, and applications. The recent development …