Role of Artificial Intelligence in Online Education: A Systematic Mapping Study

R Shafique, W Aljedaani, F Rustam, E Lee… - IEEE …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) comprises various sub-fields, including machine learning (ML) and
deep learning (DL) perform a key role in the transformation of many industries, including …

[HTML][HTML] Forecasting students' adaptability in online entrepreneurship education using modified ensemble machine learning model

A Malik, EM Onyema, S Dalal, UK Lilhore, D Anand… - Array, 2023 - Elsevier
Entrepreneurship education has become essential in recent years. This education system
may not be unconnected with the global agitation for value creation, employability skills and …

Acceptance of E-learning among university students during Covid-19 crisis: Bangladesh perspective

M Tamal, F Sarker, K Islam… - International Journal of …, 2022 - learntechlib.org
COVID-19 pandemic has dramatically transformed the global education system to a great
extent. In a short period, e-learning has been adopted globally as an al-ternative teaching …

Education 4.0: explainable machine learning for classification of student adaptability

RG Tiwari, AK Jain, V Kukreja… - … Conference on Data …, 2022 - ieeexplore.ieee.org
Because of the Covid 19 outbreak, which forced the closure of schools and institutions in
India after March 2020, online education gained even greater traction in the country. The …

[PDF][PDF] Intelligent Methods and Models for Assessing Level of Student Adaptation to Online Learning.

V Teslyuk, A Doroshenko, D Savchuk - COLINS (1), 2023 - ceur-ws.org
The problem of introducing online learning is becoming more and more popular in our
society. Due to COVID-19 and the war in Ukraine, there is an urgent need for the transition of …

A smart learning assistant to promote learning outcomes in a programming course

X Jiao, X Yu, H Peng, X Zhang - International Journal of Software …, 2022 - igi-global.com
Blended learning has gained wide popularity, but its superiority is limited by insufficient
connection between online and offline learning due to technological anxiety and complexity …

Comparison of predictive machine learning models to predict the level of adaptability of students in online education

O Iparraguirre-Villanueva, C Torres-Ceclén… - 2023 - repositorio.uwiener.edu.pe
“With the onset of the COVID-19 pandemic, online education has become one of the most
important options available to students around the world. Although online education has …

(SDGFI) Student's Demographic and Geographic Feature Identification Using Machine Learning Techniques for Real-Time Automated Web Applications

C Verma, Z Illés, D Kumar - Mathematics, 2022 - mdpi.com
Nowadays, Google Forms is becoming a cutting-edge tool for gathering research data in the
educational domain. Several researchers are using real-time web applications to collect the …

Prediction of Students' Adaptability Using Explainable AI in Educational Machine Learning Models

LC Nnadi, Y Watanobe, MM Rahman… - Applied Sciences, 2024 - mdpi.com
As the educational landscape evolves, understanding and fostering student adaptability has
become increasingly critical. This study presents a comparative analysis of XAI techniques …

Education 4.0: Classification of Student Adaptability Level in E-Education

RG Tiwari, A Misra, V Kukreja, AK Jain… - … on Reliability, Infocom …, 2022 - ieeexplore.ieee.org
In India, online education is an important part of the educational system, but it grew even
more popular during the Covid 19 epidemic since schools and universities were closed after …