News Story
OU staff find out about Knowledge Media
Kate Dungate, Friday 24 Apr 2015![](https://blog.kmi.open.ac.uk/kmiblg-data/uploads/2024/02/ZZ_and_MLF_02173-1-300x225.png)
The Open University’s Charter Day celebrations concluded with the Learn About Fair yesterday.
People from all over the OU found out more about a variety KMi projects, including Engage and EDV. It was a particularly good opportunity for the latter to showcase the Democratic Replay tool, as we quickly approach the UK General Election next month.
The two day fair was well attended and we exhibited to several VIP guests. Zdenek was pleased to discuss OU Analyse with Chancellor, Martha-Lane Fox, who showed a real interst in the work behind it. Members of MK:Smart were also given the chance to meet Vice Chancellor Peter Horrocks and Mark Lancaster, MP for North East Milton Keynes.
There was clear interest in our technologies from different faculties. We were approached about exhibiting our AR demo and CORE work at an OU conference in June. There was lots of interest in Paul Hogan’s AR app promoting MK:Smart. Take a look at it in action in the photo gallery.
![KMi News Image 0](https://blog.kmi.open.ac.uk/kmiblg-data/uploads/2024/02/ZZ_and_MLF_02173-1.png)
![KMi News Image 1](https://blog.kmi.open.ac.uk/kmiblg-data/uploads/2024/02/Jai_AR_box_02174-1.png)
![KMi News Image 2](https://blog.kmi.open.ac.uk/kmiblg-data/uploads/2024/02/CPV27822_02175-1.jpg)
![KMi News Image 3](https://blog.kmi.open.ac.uk/kmiblg-data/uploads/2024/02/CPV27911_02176-1.jpg)
![KMi News Image 4](https://blog.kmi.open.ac.uk/kmiblg-data/uploads/2024/02/CPV27901_02177-1.jpg)
Connected
![](http://kmi.open.ac.uk/images/projects/EDV.png)
Election Debate Visualization
The EDV Project will provide radically new ways for the public to replay the televised debates from the next UK general election
![](http://kmi.open.ac.uk/images/projects/engage.png)
Engage
Equipping the Next Generation for Active Engagement in Science
![](http://kmi.open.ac.uk/images/projects/ouanalyse.png)
OU Analyse
The OU Analyse project is piloting new machine learning based methods for early identification of students who are at risk of failing.
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