Wolff, Annika; Hudson, Lorraine and Kortuem, Gerd
(2016).
|
PDF (Version of Record)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (133kB) | Preview |
| URL: | http://events.kmi.open.ac.uk/dataliteracy4la/paper... |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
This paper discusses the role of data literacy in the planning of analysis of data from a six week Smart Cities MOOC delivered on the FutureLearn platform. The aim of the analysis was to discover whether the MOOC had met the aims of engaging participants with topics related to smart cities and to evaluate social interactions and understanding of the key concepts through analysis of MOOC comments. The paper identifies where data literacy impacts on decisions made, such as the need to include both domain and data expertise in the analysis, whether this is provided by a single person or by a team. It also identifies a need for better tools for rapid protoyping of methods for analysing large data sets particularly of non-standard data, such as natural language data. This would be of benefit in cases where the analysis will be used just a few times for a specific purpose, such as analysing the MOOC data across several presentations.
| Item Type: | Conference or Workshop Item |
|---|---|
| Extra Information: | Paper was presented in the workshop 'Data literacy for Learning Analytics' (full day), 26 April 2016. |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Related URLs: | |
| Item ID: | 46464 |
| Depositing User: | Annika Wolff |
| Date Deposited: | 16 Jun 2016 12:32 |
| Last Modified: | 07 Dec 2018 22:54 |
| URI: | http://oro.open.ac.uk/id/eprint/46464 |
| Share this page: |     |
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.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)