MS4 level being good citizen -imperative- (1) (1).pdf
Data Wranglers: Human data interpreters to close the feedback loop
1. Data Wranglers:
Human data interpreters
to close the feedback loop
Doug Clow
Institute of Educational Technology
The Open University, UK
2. The Open University
• Largest university in the UK
• 200,000 students
• 7,000 tutors
• 1,000 academic staff
• Supported open learning
Milton Keynes
3. At scale, each year
• 600 courses
• > 200,000 students
• > 1 million assignments
• > 1 billion views of OU/BBC coproductions
• > 3 million Moodle transactions per day
Photo (cc) Marieke IJsendoorn-Kuijpers http://www.flickr.com/photos/mape_s/333862026//
6. “Learning is a complex social activity” (Siemens, 2012)
• Lots of data
• Lots of tools
• Humans to
make sense
Photo CC (BY) Tobias Lindman on Flickr: http://www.flickr.com/photos/cowb0y2000/6243008944/
8. Data
• Delivery data
• Completion,
pass rates,
demographics
Pelophylax perezi Photo CC (BY-SA) Paulo Brandão on Flickr: http://www.flickr.com/photos/paulobrandao/3567716506/
• Student feedback
• Activity data
(Moodle)
9.
10. Photo CC (BY) Preneur d‟Image on Flickr: http://www.flickr.com/photos/surbykids/9368298544/
Report Process
• Briefing discussion
• Data analysis and report writing
• Draft discussion
• Final report
11. Photo (cc)-BY-NC nataliej on Flickr: http://www.flickr.com/photos/nataliejohnson/2122722198/
• Scrutiny in draft
• Standard document template
• Executive summary
• Recommendations
Quality assurance
19. Course use of Elluminate
Students using
Elluminate
None 18%
Informal 27%
General student support 35%
Specified activities not assessed 49%
Specified activities referenced in
assessment
95%
Usage of Elluminate broken down by course use
of Elluminate for one Faculty between 2011-
2012.
21. Photo CC (BY-NC-SA) quas on Flickr http://www.flickr.com/photos/quas/1703493/
Evaluation:
• Data quality
• Data quantity
• Unevenness
• High cost
• Slow
• Bottom up
22. Photo CC (BY-NC) Alexey Kljatov on Flickr http://www.flickr.com/photos/chaoticmind75/9516811453/
It is only through the detailed process of
engagement and dialogue between analysts,
stakeholders and the data that insight and
organisational change are developed.
23. • Gill Kirkup, Mary Thorpe, Alison Ashby & her team
– esp. Vicky Marsh and Jim Peard
• Oliver Millard
• Evaghn DeSouza
• My fellow Data Wranglers
Thanks to …
25. cc licensed ( BY ) flickr photo by David Goehring: http://flickr.com/photos/carbonnyc/33413040/
26. Doing extras
• 60 points vs 30 points
Photo (CC)-BY Steve Snodgrass on Flickr: http://www.flickr.com/photos/stevensnodgrass/4034636727/
27. cc licensed ( BY ) flickr photo by zzpza: http://www.flickr.com/photos/zzpza/3269784239/
Workshops
• Integrated/joint Learning Design/Data Wrangling
• Module production workshops
–Intensive all-week workshop
–Many presentations (LTS, other relevant modules)
–IET: Data Wrangling and Learning Design
28. (CC) Eoin Gardner on Flickr http://www.flickr.com/photos/18091975@N00/5310045271/
The impersonal is political
• Data used as
weaponry in
ongoing battles
29. Data
• Delivery data
• Completion,
pass rates,
demographics
Photo CC (BY-NC) ChaoticMind75 on Flickr: http://www.flickr.com/photos/chaoticmind75/8629790711/
• Student feedback
• Activity data
(Moodle)