A Hybrid Framework of Deep Learning Techniques to Predict Online Performance of Learners during COVID-19 Pandemic

S Altaf, R Asad, S Ahmad, I Ahmed, M Abdollahian… - Sustainability, 2023 - mdpi.com
COVID-19's rapid spread has disrupted educational initiatives. Schools worldwide have
been implementing more possibilities for distance learning because of the worldwide …

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 …

Machine learning-based hybrid ensemble model achieving precision education for online education amid the lockdown period of COVID-19 pandemic in Pakistan

R Asad, S Altaf, S Ahmad, H Mahmoud, S Huda… - Sustainability, 2023 - mdpi.com
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 …

[PDF][PDF] A comprehensive study to investigate student performance in online education during covid-19

M Al Karim, MM Masnad, MY Ara, M Rasel… - International Journal of …, 2022 - academia.edu
During the recent Covid-19 pandemic, there has been a tremendous increase in online-
based learning (elearning) activities as nearly every educational institution has transferred …

Data analytics of online education during pandemic health crisis: A case study

I Ahmad, S Sharma, R Kumar… - 2023 2nd Edition of …, 2023 - ieeexplore.ieee.org
There was a rise in the popularity of online education as a means of continuing education
during the COVID-19 pandemic, as it enabled students to finish their education while staying …

Using machine learning to predict students' academic performance during Covid-19

DK Dake, DD Essel… - … Conference on Computing …, 2021 - ieeexplore.ieee.org
COVID-19 pandemic has affected various sectors of the global economy including the
abrupt closure of schools in March 2020 in Ghana. This sudden closure has led to a revamp …

Student performance classification and prediction in fully online environment using Decision tree

M Al Karim, MY Ara, MM Masnad, M Rasel… - AIUB Journal of …, 2021 - ajse.aiub.edu
Abstract Knowledge Discovery and Data Mining (KDD) is a multidisciplinary field of study
that focuses on methodologies for extracting useful knowledge from data. During the latest …

Impact prediction of online education during COVID-19 using machine learning: a case study

SM Hossain, MM Rahman, A Barros… - … : Selected Papers of …, 2023 - Springer
The transition from traditional to online education is challenging and has many obstacles in
various situations. Due to the Covid-19 situation, we use digital blended education from the …

Analysing student performance for online education using the computational models

U Bhimavarapu - Universal Access in the Information Society, 2023 - Springer
Traditional face-to-face education has shifted to online education to prevent large gatherings
and crowds from spreading the COVID-19 virus. Several online platforms like Zoom …

[PDF][PDF] Artificial Intelligence Based Model for Prediction of Students' Performance: A Case Study of Synchronous Online Courses During the COVID-19 Pandemic

M Stadlman, SM Salili, AD Borgaonkar… - Journal of STEM …, 2022 - researchgate.net
Lack of student persistence and retention is significantly hurting the US in producing the
required number of qualified graduates, especially in STEM fields. Although many factors …