Overview of Learning Analytics and its use to make decisions in learning environments. Talk given at the Sydney Teaching Colloquium.

1. SeanDreilingerFlickr
Learning Analytics
Data-based decision making
in learning environments
Sydney Teaching Colloquium
Sydney, 3 October 2013
Abelardo Pardo
The University of Sydney
@abelardopardo
slideshare.net/abelardo_pardo

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AuntiePflickr.comneilspencerbruceflickr.com
Teaching is getting
incredibly complex

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JansonHewsflickr.com
Tool overload

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JoshuaRappenekerflickr.com

5. Humans are Subjective
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Mind Sights: Original Visual Illusions, Ambiguities, and Other Anomalies, With a Commentary on the Play of Mind in Perception and Art, Roger N. Shepard, 1990

6. “If you can not measure it,
you can not improve it”
Lord Kelvin
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7. “We need better
evaluation to
acknowledge and
esteem excellence
when it occurs, as it
does.”
John Hattie. Visible Learning: A Synthesis of Over 800 Meta-Analysis
Relating to Achievement. Taylor & Francis, 2009
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BencroweFlickr

8. Where should I focus?
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visible-learning.org/hattie-ranking-influences-effect-sizes-learning-achievement/hattie-ranking-teaching-effects(LastAccessedOct.2013)

9. What works, and
how to do it!
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Cayusaflickr.com

10. Learning Analytics
Measurement, collection, analysis
and reporting of data about learners
and their contexts, for purposes of
understanding and optimizing learning
and the environments in which it
occurs.
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(US Dept. of Education)

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WernerKunzFlickr.com
(Campbell, De Blois, Oblinger 2007, Academic Analytics, EDUCAUSE)
Collect
Report
Predict
Act
Refine
The five
steps of
analytics

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http://www.learninganalytics.net/?p=131(lastvisitedSep2013)
Little
Data

13. Discipline in its early steps,
but with large potential.
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www.itap.purdue.edu/studio/signals(LastaccessedOct.2013)

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www.blackboard.com/Platforms/Analytics/Overview.aspx(LastaccessedOct.2013)

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www.desire2learn.com/products/Insights(LastaccessedOct.2013)

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Use big data to really
understand the studentSteve Schoettler, CEO Junyo

18. www.solaresearch.org
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www.blackboard.com/platforms/analytics/overview.aspx(LastaccessedOct.2013)
• Students at risk
• Engagement
• Performance

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www.snappvis.org(LastaccessedOct.2013)
Bookmarklet in your browser

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• First year engineering course.
• Sessions with previous and in class activities.
• Previous activities require interaction.

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23. Ask about Preparation
• Obtain feedback about the material
• Measure engagement
• Anticipate complications in lecture
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Just in time teaching

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NLP to gauge emotional state

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mrhayataflickr.com
Interventions
• Email
• Special material
• Suggest plan
• Suggest actions
• Office hours

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ComedyNoseflickr.com
Data must come to you
Adopt formal approach to teaching
Use technology to reach interventions
Improvement through continuous evolution

29. SeanDreilingerFlickr
Learning Analytics
Data-based decision making
in learning environments
Sydney Teaching Colloquium
Sydney, 3 October 2013
Abelardo Pardo
The University of Sydney
@abelardopardo
slideshare.net/abelardo_pardo