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 …

[PDF][PDF] Application of decision tree algorithm for predicting students' performance via online learning during coronavirus pandemic

HM Abu-Dalbouh - Journal of Theoretical and Applied Information …, 2021 - jatit.org
The novel coronavirus (SARS-CoV-2) pandemic has resulted in the worldwide closure of
educational institutions such as universities. Accordingly, teaching in most countries now …

[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 …

Student learning performance prediction based on online behavior: an empirical study during the COVID-19 pandemic

Y Liu, Z Huang, G Wang - PeerJ Computer Science, 2023 - peerj.com
In the context of the COVID-19 global pandemic, highly intense and frequent online teaching
has leapt to be one of the dominant learning patterns and become an ordinary situation in …

[PDF][PDF] A Comparative Analysis among Online and On-Campus Students Using Decision Tree

MGA Akib, N Ahmed, SN Shefat, D Nandi - 2022 - researchgate.net
COVID-19 hit the world unexpectedly, forcing humans to isolate themselves. It has placed
the lives of people in jeopardy with its fury. The global pandemic had a detrimental effect on …

Evaluation and semantic approach for student performance prediction using data mining techniques

M Prabu, K Srivastava, VK Sharma… - AIP Conference …, 2022 - pubs.aip.org
Educational Data Mining (EDM) refers to the field that focuses on using various statistical
methods and data mining techniques to draw inferences from large amount of educational …

[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 …

[PDF][PDF] E-learning and COVID-19: predicting student academic performance using data mining algorithms

ILH Alsammak, AH Mohammed, IS Nasir - Webology, 2022 - researchgate.net
The satisfaction of E-learners has the main effect on the success of the E-learning process
and leads to improvements in the E-learning system's quality and several factors affect this …

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 …

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 …