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Students' adoption towards behavioral intention of digital learning platform.
Songkram, Noawanit; Chootongchai, Suparoek; Osuwan, Hathaiphat; Chuppunnarat, Yootthana; Songkram, Nutthakorn.
Afiliação
  • Songkram N; Department of Education Technology and Communication, Faculty of Education, Chulalongkorn University, Bangkok, Thailand.
  • Chootongchai S; Learning Innovation for Thai Society (LIfTS) Research Unit, Chulalongkorn University, Bangkok, Thailand.
  • Osuwan H; Department of Education Technology and Communication, Faculty of Education, Chulalongkorn University, Bangkok, Thailand.
  • Chuppunnarat Y; Department of Education Technology and Communication, Faculty of Education, Chulalongkorn University, Bangkok, Thailand.
  • Songkram N; Siam Cultural Education: Social Innovation Research and Learning, Chulalongkorn University, Bangkok, Thailand.
Educ Inf Technol (Dordr) ; : 1-23, 2023 Feb 22.
Article em En | MEDLINE | ID: mdl-36846495
ABSTRACT
The purpose of this research was to investigate students' behavioral intentions toward a digital learning platform. In the framework of Thai education, an empirical study evaluated and applied the adoption model. The recommended research model was tested using structural equation modeling with a sample of 1406 students from every part of Thailand. According to the findings, the best facilitator for students' recognition of using digital learning platforms is attitude (ATT), followed by internal factors such as perceived usefulness (PU) and perceived ease of use (PEU). Furthermore, technology self-efficacy (TSE), subjective norms (SN), and facilitating conditions (FC) are peripheral factors that enhance comprehension of a digital learning platform's approval. These results are consistent with past research, with the exception that PU is the only factor that has a negative influence on behavioral intention. Consequently, this study will be useful to academics and researchers by bridging a research gap in the literature review whilst also demonstrating the practical application of an impactful digital learning platform relating to academic accomplishment.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article