Wednesday 26th June, 2013
4:00pm to 5:30pm
As described in the CETIS Analytics Series: Analytics; what is changing and why does it matter? (available in PDF format):
"Analytics are not new to education. Collecting, using and sharing data about various activities from research publications to exam results is well established in the sector. Recent changes in statutory requirements for institutions, for example the presentation of Key Information Sets (KIS) data on all UK university websites, are currently focusing attention on the gathering and presentation of data. But, as the CETIS Analytics Series illustrates, there are increasing opportunities for the sector to use analytics to produce innovative and meaningful ways to evidence performance and success.
With the growing interest and emphasis on Big Data and open data coupled with technological advances in data gathering and interest in business intelligence in general; analytics have been identified as a key trend for education in the short to medium term. In tandem, the emergence of new research fields such as educational data mining and learning analytics, are focusing attention on the potential impacts of educational data on improving teaching and learning practice and in turn the student experience."
This session will provide an overview of the CETIS Analytics Series which provides a history and analysis of the main areas of interest from an educational point of view in adopting analytics based approach. Data from non teaching specific online sites (such as institutional web pages, Facebook, twitter etc) can provide valuable insights to help improve the student experience. Increasingly data is available from a range of off site sources. How can these data sources be integrated with more traditional data sources and workflows to increase knowledge and understanding of interactions with an increasing number of institutional "touch points"?
From a web manager point of view, this session will provide an opportunity for delegates to explore with and share: the types of data and data analysis techniques which they are currently using; any common trends, and potential ways to make data collection and re-use more effective both within their own institution and at a sectoral level.
Cetis, IEC, Bolton, LACE Project. Standards bod. Into R and data mining these days. Sceptical advocate for learning analytics. Fan of open IT architecture.
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