
handle: 10045/139337
The pandemic caused by COVID-19 impacted the entire world, but technological progress led to the appearance of new and innovative emerging technologies (ETs). These technologies proved to have a wide potential for use as support in education, but being a new technology, certain complications arose when it came to their application in the educational model. Nowadays, there are many digital technologies, so it is necessary to identify those that can be used in today’s education. Digital technologies have been implemented in all types of sectors, one of them being education, and the use of these technologies translates into significant improvements in educational processes and learning outcomes. Despite this, there is currently little research on the use of ETs as a support in the academic process. This research uses systematic mapping (SM) of the last 5 years, together with the Unified Theory of Acceptance and Use of Technology (UTAUT) model to identify the use and acceptance of ETs in higher education. For the SM, a keyword search string was used in three scientific databases (Scopus, Web of Science, and IEEE Xplore). To apply the UTAUT, a survey was conducted with 120 students on the acceptance of ETs as support in higher education. The results obtained indicate that ETs provide some optimization of educational processes, with greater immersion and application of knowledge when using technologies such as augmented reality, virtual reality, and mobile learning. Likewise, ETs can motivate students, allowing them to reach new academic and professional achievements.
intelligent education, Intelligent education, L, personalized education, Education, emerging technologies, Emerging technologies, Personalized education, Active education, active education
intelligent education, Intelligent education, L, personalized education, Education, emerging technologies, Emerging technologies, Personalized education, Active education, active education
| selected citations These citations are derived from selected sources. 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). | 14 | |
| 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 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
