The Open UniversitySkip to content

Mining a MOOC to examine international views of the “Smart City”

Gooch, Daniel; Hudson, Lorraine; Barker, Matthew; Wolff, Annika and Petre, Marian (2018). Mining a MOOC to examine international views of the “Smart City”. In: Proceedings of the 2017 IEEE First International Conference on Smart City Innovations (SCI 2017), 4-8 Aug 2017, California, USA.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (198kB) | Preview
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


Increasing numbers of cities are focussed on using technology to become “Smart”. Many of these Smart City programmes are starting to go beyond a technological focus to also explore the value of a more inclusive approach that values the input of citizens. However, the insights gained from working with citizens are typically focused around a single town or city. In this paper we explore whether it is possible to understand people’s opinions and views on the Smart City topics of Open Data, privacy and leadership by examining comments left on a Smart City MOOC that has been delivered internationally. In doing so we start to explore whether MOOCs can provide a lens for examining views on different facets of the Smart City agenda from a global audience, albeit limited to the demographic of the typical MOOC user.

Item Type: Conference or Workshop Item
Project Funding Details:
Funded Project NameProject IDFunding Body
MK:SMART, an integrated innovation and training programme leveraging large-scale city data to drive economic growth (Q-13-037-EM)H04HEFCE
Keywords: Smart Cities; Citizen Innovation; Digital Civics; MOOC
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Health and Wellbeing PRA (Priority Research Area)
Item ID: 50900
Depositing User: Daniel Gooch
Date Deposited: 12 Sep 2017 15:49
Last Modified: 12 Oct 2019 16:01
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU