Prediction of Intention to Use Social Media in Online Blended Learning Using Two Step Hybrid Feature Selection and Improved SVM Stacked Model

SK Trivedi, A Sharma, P Patra… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The development of Information and Communication Technology (ICT) along with the
widespread availability of smartphones and internet connections at affordable prices, lead to …

Predicting the acceptance of mobile learning applications during COVID-19 using machine learning prediction algorithms

MA Almaiah, O Almomani, A Al-Khasawneh… - … technologies during the …, 2021 - Springer
The global spread of COVID-19 has motivated many universities to adopt online distance
learning systems. Mobile learning applications could play a crucial role during this …

Student's Perception towards Mobile learning using Interned Enabled Mobile devices during COVID-19

P Gupta, V Kumar, V Yadav - EAI Endorsed Transactions on …, 2021 - publications.eai.eu
INTRODUCTION: The novel corona disease disrupted education all around the world. This
shifted people to mobile learning in real time wireless classroom from the physical face-to …

[PDF][PDF] Determining the academic use of social media with technology acceptance models

M Ali, RAIB Raja, BE Nuri Al Amin… - NFC IEFR Journal of …, 2017 - researchgate.net
The advent of internet has revolutionized every aspect of human communication whereas
the arrival of social web has further augmented it. The use of this interactive platform is …

Information Technology Readiness and Acceptance Model for Social Media Adoption in Blended Learning: A Case Study in Higher Education Institutions in West Java …

F Yusuf, TKA Rahman, A Subiyakto - Journal of Applied Data …, 2024 - bright-journal.org
Technological developments, including the internet, and learning opportunities are
increasing. This also encourages the development of learning strategies and models. The …

A hybrid modeling approach for predicting the educational use of mobile cloud computing services in higher education

I Arpaci - Computers in human Behavior, 2019 - Elsevier
The decision to integrate mobile cloud computing (MCC) in education without determining
optimal use scenarios is a universal problem as the adoption of such services becomes …

[HTML][HTML] Information and communication-based collaborative learning and behavior modeling using machine learning algorithm

N Nadar, R Kamatchi - Social Media and Machine Learning, 2019 - intechopen.com
Rapid growth of smart phone industries has led people to use more technology and thus
aided in adoption of information and communication technology (ICT) in educational …

Prediction of Post-COVID-19 Pandemic Learning Mode Preferences Using Machine Learning

A Pratondo, A Novianty, BL Putro… - 2023 14th International …, 2023 - ieeexplore.ieee.org
The COVID-19 epidemic has had a huge impact on the educational landscape, prompting
the adoption of online and remote learning as viable alternatives to conventional in-person …

[PDF][PDF] Machine learning prediction of video-based learning with technology acceptance model

RA Rahman, S Masrom, NH Abd Samad… - Indonesian Journal of …, 2023 - academia.edu
COVID-19 outbreak has significant impacts on education system as almost all countries shift
to new way of teaching and learning; online learning. In this new environment, various …

Predicting the intention to use social media sites: a hybrid SEM-machine learning approach

SA Salloum, NMN AlAhbabi, M Habes… - … conference on advanced …, 2021 - Springer
The study conducted aims to form a conceptual model to calculate the pupils' acceptance of
social media in education and its factors. Although the amount of research done on the …