JUCS - Journal of Universal Computer Science 24(8): 1072-1089, doi: 10.3217/jucs-024-08-1072
Analysis of Behavioral Intention to Use Cloud-Based Tools in a MOOC: A Technology Acceptance Model Approach
expand article infoMiguel Morales Chan, Roberto Barchino Plata§, Jose Amelio Medina§, Carlos Alario-Hoyos|, Rocael Hernández Rizzardini, Monica de la Roca
‡ Galileo University, Guatemala City, Guatemala§ University of Alcala, Madrid, Spain| Universidad Carlos III de Madrid, Madrid, Spain¶ Galileo University, Guatemala, Guatemala
Open Access
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.
Cloud-based tools, MOOC, Codeboard, technology acceptance model, structural equation modeling