@inproceedings{1522949f12bb43aeabf7ba5d8bd6793a,
title = "The Acceptance of Social Media Sites: An Empirical Study Using PLS-SEM and ML Approaches",
abstract = "The study conducted aims to form a conceptual model to calculate the pupils{\textquoteright} acceptance of social media in education and its factors. The study is carried out by extending the Technology Acceptance Model (TAM) using social influence factors. Alongside this, the collected data is evaluated through Machine learning approaches and the partial least squares-structural equation modeling (PLS-SEM). A total of 350 students enrolled at highly regarded universities in the United Arab Emirates (UAE) filled out questionnaire surveys, then analyzed, and results are stated. This research suggests that students{\textquoteright} intention to adopt social media networks in learning is significant social influence, perceived usefulness, and ease of use.",
keywords = "Machine learning, PLS-SEM, Social influence, Social media, Technology acceptance model",
author = "Sawsan Al-Skaf and Enaam Youssef and Mohammed Habes and Khadija Alhumaid and Salloum, \{Said A.\}",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 6th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2021 ; Conference date: 22-03-2021 Through 24-03-2021",
year = "2021",
doi = "10.1007/978-3-030-69717-4\_52",
language = "English",
isbn = "9783030697167",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "548--558",
editor = "Aboul-Ella Hassanien and Kuo-Chi Chang and Tang Mincong",
booktitle = "Advanced Machine Learning Technologies and Applications - Proceedings of AMLTA 2021",
address = "Germany",
}