ArticlePloS one2020
Digital technology adoption scale in the blended learning context in higher education: Development, validation and testing of a specific tool.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The use of the extended reality technologies in simulation-based health professions education: a bibliometric analysis.Frontiers in medicine · 2026Pooled it
- Protocol: Effectiveness of Sexual and Reproductive Health Blended Learning Approaches for Capacity Strengthening of Health Professionals in Low- and Middle-Income Countries: A Systematic Review.Campbell systematic reviews · 2025Article
- Psychometric Properties of Self-report Questionnaires in Evaluating Blended Learning in Health Science University Students: A Systematic Review.Acta medica Philippina · 2025Article
- Increasing acceptance of medical AI: The role of medical staff participation in AI development.International journal of medical informatics · 2023Article
- A Collaborative Metaverse based A-La-Carte Framework for Tertiary Education (CO-MATE).Heliyon · 2023Article
- Factors influencing in-service teachers' technology integration model: Innovative strategies for educational technology.PloS one · 2023Article
- Article
- Mobile learning: research context, methodologies and future works towards middle-aged adults - a systematic literature review.Multimedia tools and applications · 2023Article
- Article
- Implementation of Blended Learning Approach for Improving Anatomy Lectures of Phase I MBBS Students - Learner Satisfaction Survey.Advances in medical education and practice · 2021Article
- Motivation and Continuance Intention towards Online Instruction among Teachers during the COVID-19 Pandemic: The Mediating Effect of Burnout and Technostress.International journal of environmental research and public health · 2020Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main aim of the present study was to develop, validate and test an extended Technology Acceptance Model (TAM) that contributes to the overall understanding of students' intention to use digital tools in a blended learning context of higher education. The external bidimensional factor of familiarity with digital tools, which is not usually explained by the TAM, was included, and evaluated. Following a four-stage scale development technique, a seven-dimensional 25-item survey was developed, which includes two external correlated variables: familiarity with high-tech digital tools and familiarity with traditional digital tools, two mediator variables-computer anxiety, and perceived barriers, and three response variables, perceived usefulness, perceived ease of use and intention to use. The initial version of the survey was administered on 250 undergraduate students. Next, for another sample of 206 students, latent dimensions of the survey were tested using exploratory factor analysis. The structure of the survey was validated in two other subsequent stages with one sample of 262 responses of undergraduates and one of 310 responses of master's students from two different universities. All students who agreed to participate in research attended blended learning. The validity, reliability and invariance of the instrument were established by psychometric analyses. Collected data indicated that the survey has an adequate multifactorial structure that is reliable and invariant across degree levels. The scale is recommended for use in higher education studies targeting the promotion of blended learning and reduction of negative attitudes of learners toward digital instruments, supporting university professors to select their own efficient way to teach.
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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.