Teacher's acceptance toward cloud-based learning technology in Covid-19 pandemic era

Ika Qutsiati Utami, Indah Fahmiyah, Ratih Ardiati Ningrum, M. Noor Fakhruzzaman, Angga Iryanto Pratama, Yohanes Manasye Triangga

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Cloud-based learning technologies play a central role in ensuring that learning and teaching practice can be conducted properly in the Covid-19 pandemic era. Although such technologies are advanced in mediating educational practice, the teacher’s acceptance toward the technology is usually far less to be understandable. This research aimed to investigate teachers’ acceptance toward cloud-based learning technology, in particular, for Microsoft 365 that currently being used massively in facilitating the educational process in Indonesia. In terms of theoretical framework, Technology Acceptance Model was employed with the inclusion of two original constructs, i.e., perceived usefulness (PU), perceived ease of use (PEU), and two extensive variables, i.e., perceived risk (PR) and social influence (SI) that will predict teacher’s intention to use the cloud-based learning technology during the Covid-19 pandemic. We collected data from teachers as research participants (N = 75) using the online survey method and employed Structured Equation Modeling (SEM) using SmartPLS for quantitative data analysis. The result revealed significant relationship among factors affecting the use of the technology, except for PU (path coefficient = 0.120, p value = 0.415) and PEU (path coefficient = 0.224, p value = 0.147). Regarding this interesting result, we add final reflections and recommendations for future lines of works.

Original languageEnglish
Pages (from-to)571-586
Number of pages16
JournalJournal of Computers in Education
Issue number4
Publication statusPublished - Dec 2022


  • Cloud service
  • Covid-19
  • Educational policies
  • Learning technology
  • Technology acceptance


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