Learning through mass collaboration - Issues and challenges

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A growing number of successful mass collaboration projects in various fields show profound changes in the way communities operate and act collectively. One emerging application of mass collaboration is for collective learning, in which a mass of minds jointly drives the effort of building and acquiring knowledge. Such attempt builds on a reservoir of raw knowledge that develops as each contributor shares his/her own partial experience and knowledge. A key element in this process is to ensure that such created knowledge is reliable and trustworthy. This leads to the need of effective assessment mechanisms. Furthermore, the process of learning through mass collaboration needs to be better understood. For this purpose, this work includes a summary of a systematic review of recent literature with the aim of identifying affecting factors and constituents of mass collaborative learning namely, the type of organizational structures, collaborative learning approaches, adopted technologies, and adopted methods for evaluating the quality of performance and knowledge. Based on the findings, a research strategy focused on the quality of collective learning is then proposed.

Original languageEnglish
Title of host publicationTechnological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings
EditorsL. M. Camarinha-Matos, K. O. AduKankam, M. Julashokri
Place of PublicationCham
PublisherSpringer New York LLC
Pages3-17
Number of pages15
ISBN (Electronic)978-3-319-78574-5
ISBN (Print)978-3-319-78573-8
DOIs
Publication statusPublished - 2018
Event9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018 - Costa de Caparica, Portugal
Duration: 2 May 20184 May 2018

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer New York LLC
Volume521
ISSN (Print)1868-4238

Conference

Conference9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018
CountryPortugal
CityCosta de Caparica
Period2/05/184/05/18

Keywords

  • Collaborative networks
  • Learning
  • Mass collaboration

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  • Cite this

    Majid, Z., & Camarinha-Matos, L. M. (2018). Learning through mass collaboration - Issues and challenges. In L. M. Camarinha-Matos, K. O. AduKankam, & M. Julashokri (Eds.), Technological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings (pp. 3-17). (IFIP Advances in Information and Communication Technology; Vol. 521). Springer New York LLC. https://doi.org/10.1007/978-3-319-78574-5_1