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Blockchain Technology Adoption in Smart Learning Environments

doi: 10.3390/su13041801
The conventional education system in developing countries has been enhanced recently by implementing the latest technology of distributed ledger. Disruptive technology is a fundamental requirement for greater accountability and visibility. We explored the key factors affecting the intentions of educational institutions to use blockchain technology for e-learning. This study proposed an expanded model of Technology Acceptance Model by integrating the diffusion of innovation theory. Based on an online survey, the conceptual model was tested and validated using structural equation modeling. The results showed that compatibility had a significant impact on blockchain use in smart learning environments. Other significant effects were also found on adoption of blockchain technology. This study offers an expanded Technology Acceptance Model for implementing blockchain that could assist decision makers in building a smart learning environment for the educational institutes for the emerging economies.
- King Saud University Saudi Arabia
- University of Split Croatia
- Universiti Teknologi MARA Malaysia
- Nanjing University China (People's Republic of)
- University of Zagreb, Faculty of Humanities and Social Sciences Croatia
blockchain, Environmental effects of industries and plants, TJ807-830, TD194-195, Renewable energy sources, diffusion of innovation theory, Environmental sciences, TAM, GE1-350, distributed ledger technology, Keywords: blockchain, e-learning
blockchain, Environmental effects of industries and plants, TJ807-830, TD194-195, Renewable energy sources, diffusion of innovation theory, Environmental sciences, TAM, GE1-350, distributed ledger technology, Keywords: blockchain, e-learning
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).118 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
