Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/77606
Title: A methodological approach for trustworthiness assessment and prediction in mobile online collaborative learning
Author: Miguel Moneo, Jorge
Caballé Llobet, Santi
Xhafa, Fatos
Prieto Blázquez, Josep
Barolli, Leonard
Others: Universitat Oberta de Catalunya (UOC)
Fukuoka Institute of Technology
Keywords: information security
trustworthiness assessment
online collaborative learning
mobile learning
Issue Date: Feb-2016
Publisher: Computer Standards & Interfaces
Citation: Miguel Moneo, J., Caballé, S., Xhafa, F., Prieto-Blázquez, J. & Barolli, L. (2016). A methodological approach for trustworthiness assessment and prediction in mobile online collaborative learning. Computer Standards & Interfaces, 44, 122-136. doi: 10.1016/j.csi.2015.04.008
Also see: https://doi.org/10.1016/j.csi.2015.04.008
Abstract: Trustworthiness and technological security solutions are closely related to online collaborative learning and they can be combined with the aim of reaching information security requirements for e-Learning participants and designers. Moreover, mobile collaborative learning is an emerging educational model devoted to providing the learner with the ability to assimilate learning any time and anywhere. In this paper, we justify the need of trustworthiness models as a functional requirement devoted to improving information security. To this end, we propose a methodological approach to modelling trustworthiness in online collaborative learning. Our proposal sets out to build a theoretical approach with the aim to provide e-Learning designers and managers with guidelines for incorporating security into mobile online collaborative activities through trustworthiness assessment and prediction.
Language: English
URI: http://hdl.handle.net/10609/77606
ISSN: 0920-5489MIAR
Appears in Collections:Articles cientÍfics
Articles

Files in This Item:
File Description SizeFormat 
CSI-2015_MiguelEtAl_preprint.pdf914,8 kBAdobe PDFThumbnail
View/Open