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The Sound Of Learning Analytics

Published on Nov 23, 2015

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PRESENTATION OUTLINE

The sound of learning analytics

Sheila MacNeill, Talis Insight, April 2015

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A few of my (least) favourite things

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Swirly, twirly SNA

Photo by Sister72

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Text analysis of a blog post for oer 15
Great fun creating it, got contacted by developers
Still not sure if it actually helps with anything

Big data - local data

Much of the noise is about big data
It is noisy, and big people make big statements about the big things it is/can/will make. But does that really apply to us in education? We don't
Have much big data, and despite the hype of moocs much of the data analysis from them doesn't really help us understand our core student population - there are very different drivers when you are a student on a mooc and a typical undergraduate. I am much more of an advocate for the use of local data - that is far more useful to us - we understand that context,
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Platform(s) and product(s)

Can you buy anything these days that doesn't have an added analytics component? We're all a bit obsessed - how many do you need and how do they integrate? The danger of the shiny
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People and process

What about people? People and processes that will actually make any impact or do anything meaningful with the data

Dashboards

We all love a dashboard
How may do we need? One to rule them all, personalisation versus confusion
Do they actually mean anything are useful?
Photo by JD Hancock

Measuring and monitoring

Digital panopticon- measuring and monitoring everything - do we really need to? So busy looking a dashboards and alerts that we don't actually change anything - quantified self - certain situations where can be very powerful - eg medical contexts but how much do we really need - danger of switch off
Motivational tool becomes absolute
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What are we measuring?

What are we measuring and why?
Meaningful or meaningless measurements
What is quality
What is engagement
No one standard for that
How do we ensure that are measures are adaptable and meaningful and relevant?

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So glad to see the other week that big data is no longer the new thing, now fast data.
I like the graphic as I can hear a lot of people who look smart saying all these things without actually understand them
Data isn't smart - it's the people who use them that need to be
Bit about mark here and inspiration and his tube map

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Situation at GCU
Looked to others and great analogy with Glasgow subways

Been trying to move to things forward
Tech - we have, oracle bi suite, we have a bi analytist Ken Fraser we have data
But . . . People problem in sharing

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How things stand just now
For learning analytics
Very easy to create dashboard
But totally meaningless

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Where we would like to be
Real time dashboards
We need buy in
We need a mark
But I think we can start to make some useful insights particularly around base lining tech use to help us make smarter, informed buying investment opportunities,
And help us understand what engagement really means - understand our institutional digtial footprint