Abstract
In the context of the pandemic caused by the COVID-19 disease, many countries established protection measures. In Peru, face-to-face studies were suspended and virtualized education was established as an alternative. Doctoral students took advantage of the new way of on-line learning, even without being prepared for it. The need to have categories of perception on virtualized doctorate courses was raised. The objective was to design an online perception instrument on virtual learning of doctoral studies in the context of COVID-19. The research was qualitative with phenomenological design, theoretical validation and expert opinion. The sample was non-probabilistic and a posteriori. In-depth interview was applied. Categorization based on the saturation principle and the triangulation technique were used. 40 units of analysis, 20 study categories, 42 subcategories and 30 items were obtained. It was concluded that there are four categories to design the online instrument: quality, characteristics, advantages and satisfaction.
Original language | English |
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Title of host publication | Proceedings - TEEM 2020, 8th International Conference on Technological Ecosystems for Enhancing Multiculturality |
Editors | Francisco Jose Garcia-Penalvo |
Publisher | Association for Computing Machinery |
Pages | 211-218 |
Number of pages | 8 |
ISBN (Electronic) | 9781450388504 |
DOIs | |
State | Published - 21 Oct 2020 |
Event | 8th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2020 - Virtual, Online, Spain Duration: 21 Oct 2020 → 23 Oct 2020 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Conference | 8th International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2020 |
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Country/Territory | Spain |
City | Virtual, Online |
Period | 21/10/20 → 23/10/20 |
Bibliographical note
Publisher Copyright:© 2020 ACM.
Keywords
- Doctorate
- Health emergency
- Online instrument
- Perception
- Study category
- Virtual learning
- Virtualized course