Donlon, Enda ORCID: 0000-0003-2817-9033, Brown, Mark ORCID: 0000-0002-7927-6717 and Costello, Eamon ORCID: 0000-0002-2775-6006 (2016) The power of the crowd: promise and potential of crowdsourcing for education. In: 33rd International Conference of Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education (ASCILITE2016), 28 - 30 Nov 2016, Adelaide, Australia.
Abstract
Crowdsourcing is the term often used for processes of data collation and creation where
individuals or groups of users who are not necessarily located centrally generate content that is
then shared. While the term originates within the world of business, it has since gained traction
within a number of academic and professional disciplines. Drawing upon two examples that have
originated within the Republic of Ireland, this paper reflects on the educational potential of
crowdsourcing. Firstly, it reports a unique one-year open crowdsourcing initiative which compiled
a comprehensive A-Z directory of edtech tools for teaching and learning through collaborative
contributions. Secondly, it describes an initiative to develop a crowdsourced repository of study
tips and suggestions for adult, part-time, online and flexible learners embarking on further study.
These two case studies provide a valuable context for considering the wider potential of
crowdsourcing applications for teaching and learning purposes.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Subjects: | Social Sciences > Education Social Sciences > Educational technology |
DCU Faculties and Centres: | Research Institutes and Centres > NIDL (National Institute for Digital Learning) DCU Faculties and Schools > Institute of Education > School of STEM Education, Innovation, & Global Studies |
Published in: | Conference Proceedings 33rd International Conference of Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education. . ASCILITE. |
Publisher: | ASCILITE |
Copyright Information: | © 2016 The Authors |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 24377 |
Deposited On: | 17 Apr 2020 16:11 by Enda Donlon . Last Modified 16 Apr 2021 12:50 |
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