Paper Info
Title
Analysis of Behavioral Intention to Use Cloud-Based Tools in a MOOC: A Technology Acceptance Model Approach.
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.
Year
Venue
Keywords
2018
JOURNAL OF UNIVERSAL COMPUTER SCIENCE
Cloud-based tools,MOOC,Codeboard,technology acceptance model and structural equation modeling
Field
DocType
Volume
Computer science,Technology acceptance model,Knowledge management,Cloud computing
Journal
24
Issue
ISSN
Citations 
8
0948-695X
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Miguel Morales100.34
Roberto Barchino Plata200.68
Jose Amelio Medina300.34
Carlos Alario-Hoyos418130.68
Rocael Hernández Rizzardini5319.55
Monica de la Roca600.34