Data Wranglers: Human data interpreters to close the feedback loop

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Data Wranglers: Human data interpreters to close the feedback loop Doug Clow Institute of Educational Technology The Open University, UK

description

Presentation at LAK14, the fourth international conference on Learning Analytics and Knowledge, Indianapolis, March 2014.

Transcript of Data Wranglers: Human data interpreters to close the feedback loop

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Data Wranglers: Human data interpreters to close the feedback loop

Doug Clow Institute of Educational Technology The Open University, UK

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The Open University

• Largest university in the UK

• 200,000 students

• 7,000 tutors

• 1,000 academic staff

• Supported open learning

Milton Keynes

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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//

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data wrangling

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“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/

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Data Wrangling• Institutional capacity

building• 8 Wranglers• Faculty link• Regular reports

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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)

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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

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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

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Responsive ‘quick reports’

Photo (CC)-BY Mark Dumont on Flickr: http://www.flickr.com/photos/wcdumonts/9256493975/

Doing extras

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reaction

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users data

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users data

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users data

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examples

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Unique visits per week to VLE components for one course

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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.

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conclusions

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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

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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.

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• Gill Kirkup, Mary Thorpe, Alison Ashby & her team– esp. Vicky Marsh and Jim Peard

• Oliver Millard• Evaghn DeSouza• My fellow Data Wranglers

Thanks to …

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Doug [email protected]@open.ac.uk

This work is licensed under a Creative Commons Attribution 3.0 Unported License

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cc licensed ( BY ) flickr photo by David Goehring: http://flickr.com/photos/carbonnyc/33413040/

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Doing extras• 60 points vs 30 points

Photo (CC)-BY Steve Snodgrass on Flickr: http://www.flickr.com/photos/stevensnodgrass/4034636727/

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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

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(CC) Eoin Gardner on Flickr http://www.flickr.com/photos/18091975@N00/5310045271/

The impersonal is political

• Data used as weaponry in ongoing battles

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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)