This paper is in the following e-collection/theme issue:

Mobile Approaches to Medical Education (53) e-Learning and Medical Education (645) JMIR Theme Issue: COVID-19 Special Issue (2388) Adoption and Change Management of eHealth Systems (670) Machine Learning (1373)

Published on in Vol 7, No 1 (2021): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24032, first published .
Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach

Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach

Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach

Authors of this article:

Iman Akour1 Author Orcid Image ;   Muhammad Alshurideh2, 3 Author Orcid Image ;   Barween Al Kurdi4 Author Orcid Image ;   Amel Al Ali1 Author Orcid Image ;   Said Salloum5 Author Orcid Image
Article Authors Cited by (106) Tweetations (4) Metrics

Journals

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  30. Sallam M, Salim N, Barakat M, Al-Mahzoum K, Al-Tammemi A, Malaeb D, Hallit R, Hallit S. Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study. JMIR Medical Education 2023;9:e48254 View
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