Analysis of behavioral intention to use cloud-based tools in a MOOC: a technology acceptance model approach Articles uri icon

authors

  • MORALES CHAN, MIGUEL
  • BARCHINO PLATA, ROBERTO
  • MEDINA, JOSE AMELIO
  • ALARIO HOYOS, CARLOS
  • HERNANDEZ RIZZARDINI, ROCAEL
  • ROCA, MONICA DE LA

publication date

  • August 2018

start page

  • 1072

end page

  • 1089

issue

  • 8

volume

  • 24

international standard serial number (ISSN)

  • 0948-695X

electronic international standard serial number (EISSN)

  • 0948-6968

abstract

  • MOOC students' adoption of cloud-based tools has the potential to enrich the learning process and enhance the management of knowledge. The aims of this study are to evaluate the behavioral intention to use cloud-based tools in MOOC context, and to explore the factors that influence this intention, based on extended technology of acceptance model (TAM). This paper reports the findings of a case study conducted on the edX platform. Survey data collected from 133 end-users were analyzed by using structured equation modeling (SEM) to validate the causal relationship among the various constructs of the research model proposed. The findings suggested that the perceived ease of use and the perceived usefulness influence the attitude toward the cloud-based tools used in a MOOC.

keywords

  • Cloud-based tools
    MOOC
    Codeboard
    Technology acceptance model and structural equation modeling