@inproceedings{7963543e876a4b2a955346f521abf5c1,
title = "A Mixed Method for Assessing the Reliability of Shared Knowledge in Mass Collaborative Learning Community",
abstract = "The recent trends in open, informal, and collective education have gradually been shaping an innovative approach to learning called “mass collaborative learning” where large and limitless number of scattered but interested people (with different backgrounds and levels of knowledge) join a networked community aiming to learn new things interactively. Even though the potential benefits of mass collaborative learning for learners are enormous, the process is by nature prone to be harmed by sharing unhealthy materials within the community. In order to minimize the dissemination of disinformation and promote the quality of shared contents in mass collaborative learning communities, this study, as a contribution in this context, proposes a mixed method that can help involved learners to assess the reliability and quality of shared knowledge or information through a multi-user and multilevel evaluation approach. Preliminary findings of this research work are discussed.",
keywords = "Assessment, Content, Information, Knowledge, Mass Collaborative Learning (MCL), Mixed method, Reliability",
author = "Majid Zamiri and Camarinha-Matos, \{Luis M.\}",
note = "Funding Information: This work has been funded in part by the Center of Technology and Systems and the Portuguese FCT program UIDB/00066/2020. Publisher Copyright: {\textcopyright} 2021, IFIP International Federation for Information Processing.; 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 ; Conference date: 07-07-2021 Through 09-07-2021",
year = "2021",
month = jul,
day = "1",
doi = "10.1007/978-3-030-78288-7\_3",
language = "English",
isbn = "978-3-030-78287-0",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "24--36",
editor = "Camarinha-Matos, \{Luis M.\} and Pedro Ferreira and Guilherme Brito",
booktitle = "Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings",
address = "Netherlands",
}