Morales Chan, MiguelBarchino Plata, RobertoMedina, Jose AmelioAlario-Hoyos, CarlosHernández Rizzardini, RocaelRoca, Monica De La2020-03-102020-03-102018-08-24Morales Chan, M., Barchino Plata, R., Medina, J.A., Alario-Hoyos, C., Hernández Rizzardini, R. y Roca, M. de la (2018). Analysis of Behavioral Intention to Use Cloud-Based Tools in a MOOC: A Technology Acceptance Model Approach. Journal of Universal Computer Science, 24(8), pp. 1072-1089.0948-695Xhttps://hdl.handle.net/10016/29865MOOC 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.18eng© Journal of Universal Computer SciencesCloud-based toolsMoocCodeboardTechnology acceptance model and structural equation modelingresearch articleTelecomunicacioneshttps://doi.org/10.3217/jucs-024-08-1072open access107281089Journal of Universal Computer Science24AR/0000023880