ArticleEducation and information technologies2023
Students' adoption towards behavioral intention of digital learning platform.
Article in Education and information technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- An integrated cognitive load-technology acceptance model for explaining behavioral intention to adopt Smart Physical Education Systems for extracurricular physical activity.Frontiers in psychology · 2026Article
- Integrating TAM-ISSM-SOR framework to explore how virtual tourism experience influences tourists' travel intention.Scientific reports · 2025Article
- Development and validation of a comprehensive tool to study the various elements influencing the utilization of E-learning among undergraduate health professions students.BMC medical education · 2025Article
- Acceptance and Use of Technology on Digital Learning Resource Utilization and Digital Literacy Among Chinese Engineering Students: A Longitudinal Study Based on the UTAUT2 Model.Behavioral sciences (Basel, Switzerland) · 2025Article
- An integrated approach using social support theory and technology acceptance model to investigate the sustainable use of digital learning technologies.Scientific reports · 2025Article
- How digital support and digital competence influence digital resilience of college students in an online learning environment.Frontiers in psychiatry · 2025Article
- Assessing clinical medicine students' acceptance of large language model: based on technology acceptance model.BMC medical education · 2024Article
- Unlocking future learning: Exploring higher education students' intention to adopt meta-education.Heliyon · 2024Article
- Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students.BMC medical education · 2024Article
- Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study.JMIR medical education · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.