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Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning.
Shahzad, Muhammad Farrukh; Xu, Shuo; Lim, Weng Marc; Yang, Xingbing; Khan, Qasim Raza.
Afiliação
  • Shahzad MF; College of Economics and Management, Beijing University of Technology, Beijing, PR China.
  • Xu S; College of Economics and Management, Beijing University of Technology, Beijing, PR China.
  • Lim WM; Sunway Business School, Sunway University, Sunway City, Selangor, Malaysia.
  • Yang X; School of Business, Law and Entrepreneurship, Swinburne University of Technology, Hawthorn, Victoria, Australia.
  • Khan QR; Design and Arts, Swinburne University of Technology, Kuching, Sarawak, Malaysia.
Heliyon ; 10(8): e29523, 2024 Apr 30.
Article em En | MEDLINE | ID: mdl-38665566
ABSTRACT
The advancement of artificial intelligence (AI) and the ubiquity of social media have become transformative agents in contemporary educational ecosystems. The spotlight of this inquiry focuses on the nexus between AI and social media usage in relation to academic performance and mental well-being, and the role of smart learning in facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) on a sample of 401 Chinese university students. The study results reveal that both AI and social media have a positive impact on academic performance and mental well-being among university students. Furthermore, smart learning serves as a positive mediating variable, amplifying the beneficial effects of AI and social media on both academic performance and mental well-being. These revelations contribute to the discourse on technology-enhanced education, showing that embracing AI and social media can have a positive impact on student performance and well-being.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Heliyon Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Heliyon Ano de publicação: 2024 Tipo de documento: Article