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Learning Analytics:
Threats and opportunities
Martin Hawksey
@mhawksey
alt.ac.uk
Overview
◊ Introduction to Learning Analytics
◊ Hands-on – Mining Twitter for actionable insight
@mhawksey 2
“
alt.ac.uk
How much do you know
about Learning
Analytics?
In small groups share what you
2mins
@mhawksey 3
alt.ac.uk@mhawksey 4
alt.ac.uk@mhawksey 5
“
alt.ac.uk
Analytics in Education
Analytics is the process of developing actionable
insights through problem definition and the
application of statistical models and analysis
against existing and/or simulated future data
Adam Cooper, What is Analytics? http://publications.cetis.ac.uk/wp-
content/uploads/2012/11/What-is-Analytics-Vol1-No-5.pdf
@mhawksey 6
“
alt.ac.uk
Learning Analytics Definition
the measurement, collection, analysis and
reporting of data about learners and their
contexts, for purposes of understanding and
optimising learning and the environments in
which it occurs
First International Conference on Learning Analytics and Knowledge (LAK11), 2011
@mhawksey 7
alt.ac.uk
Disciplines
◊ Computer science
◊ Statistics
◊ Programming
◊ Network analysis
◊ Psychology of education
◊ …
@mhawksey 8
alt.ac.uk
Methods
◊ Content Analytics
◊ Context Analytics
◊ Discourse Analytics
◊ Social Learning Analytics
◊ Disposition Analytics
◊ Social Network Analysis
◊ …
@mhawksey 9
Ferguson and Buckingham Shum (2012) Social Learning Analytics: Five Approaches
alt.ac.uk
Tools/Products
◊ Spreadsheets - MS Excel, Tableau, Open
Refine, Google Sheets…
◊ SNA – NodeXL, Gephi, Cytoscape
◊ Programming: R, Python, MATLAB…
◊ VLEs - Blackboard Analytics for Learn,
Desire2Learn Insights …
◊ …
@mhawksey 10
alt.ac.uk
Flow
@mhawksey
Data Analytic Insight
Who?
Institution
Tutor
Self
…
Educational
Commercial
How?
Social network
Discourse
Content
Disposition
Context
…
Administration
What?
Platform
Service
…
Availability
Access
11
alt.ac.uk@mhawksey
Threat: The Absence of Theory
12
“
alt.ac.uk
Amazon cares not a whit *why*
people who buy german chocolate
also buy cake pans as long as they
get to the checkout buying both
Mike Caulfield - Short Notes on the Absence of Theory
http://hapgood.us/2013/12/10/short-notes-on-the-absence-
of-theory/
@mhawksey 13
“
alt.ac.uk
Counts don’t count much if
decontextualized
Wilson, T.D. (1999). Models in information behaviour research.
Journal of Documentation, 55(3), 249 – 270.
@mhawksey
Dragan Gasevic speaking at DiCE Seminar
Moray House School of Education – 9th January 2015
14
“
alt.ac.uk@mhawksey
Dragan Gasevic speaking at DiCE Seminar
Moray House School of Education – 9th January 2015
Analytics to account for
conditions, operations, products,
evaluation, and standards (COPES)
Gašević, D., Dawson, S., Siemens, G. (2015). Let's not forget:
Learning analytics are about learning. TechTrends, 59(1), 64-71,
https://bit.ly/techtrends15
15
alt.ac.uk@mhawksey
Threat: Visualizations
16
@mhawksey 17
“
alt.ac.uk
Graphs can be a powerful way to represent
relationships between data, but they are also a
very abstract concept, which means that they
run the danger of meaning something only to
the creator of the graph … Everything looks
like a graph, but almost nothing should ever
be drawn as one.
Ben Fry in ‘Visualizing Data’
@mhawksey 18
alt.ac.uk
Explanatory visualization
Data visualizations that are used to
transmit information or a point of view
from the designer to the reader.
Explanatory visualizations typically
have a specific “story” or information
that they are intended to transmit.
Exploratory visualization
Data visualizations that are used by
the designer for self-informative
purposes to discover patterns, trends,
or sub-problems in a dataset.
Exploratory visualizations typically
don’t have an already-known story.
Iliinsky & Steele -
Designing Data
Visualizations:
Representing
Informational
Relationships
@mhawksey 19
“
alt.ac.uk
Visualizations can be
harmful
Corrin, L., & de Barba, P. (2014). Exploring students’
interpretation of feedback delivered through learning
analytics dashboards. In Proceedings of the ascilite 2014
conference (pp. 629-633). ascilite.
@mhawksey
Dragan Gasevic speaking at DiCE Seminar
Moray House School of Education – 9th January 2015
20
“
alt.ac.uk
Visualizations can be
useful
if embedded into and fit learning tasks
@mhawksey
Dragan Gasevic speaking at DiCE Seminar
Moray House School of Education – 9th January 2015
21
alt.ac.uk@mhawksey
Threat: Ethics, privacy
and data sharing
22
“
alt.ac.uk
The worlds of
privacy and
analytics
intersect
Downes (2014)@mhawksey
…not always
happily
23
© Unknown
Source: http://crooksandliars.com/files/primary_image/14/05/inbloom-drawing.jpg
alt.ac.uk
Ethics
◊ Clarity
◊ Comfort and care
◊ Choice and consent
◊ Consequence and complaint
@mhawksey 24
Legal, Risk and Ethical Aspects of Analytics in Higher Education (Kay, Korn,
& Oppenheim, 2012)
alt.ac.uk@mhawksey
Opportunities
25
“
alt.ac.uk
Feedback loops between
students and instructors are
missing!
Hattie, J., & Timperley, H. (2007). The power of feedback.
Review of education research, 77(1), 82-112.
@mhawksey 26
“
alt.ac.uk
At best analytics can help start a
conversation. People have to be
willing to take the conversation on
Roberts, G. Analytics are not relationships
http://rworld2.brookesblogs.net/2014/12/12/analytics-are-not-
@mhawksey 27
“
alt.ac.uk
What might you use
Learning Analytics for?
In small groups discuss – 5mins
@mhawksey 28
alt.ac.uk
Useful links
• LACE (learning analytics community exchange) :
http://www.laceproject.eu/
• SoLAR : Society for Learning Analytics Research
http://solaresearch.org/
• Jisc: http://analytics.jiscinvolve.org/wp
• Cetis Analytics Series : http://publications.cetis.ac.uk/c/analytics
• LAK15 Conference #lak15
From http://www.slideshare.net/sheilamac/intro-to-learning-analytics-universities-
scotlanddec2014smn
@mhawksey 29
alt.ac.uk@mhawksey
Wrapping up
30
“
alt.ac.uk
Learning activities don’t
happen in a single platform
Dragon Gasevic
@mhawksey 31
“
alt.ac.uk
Not everything that can be counted
counts.
Not everything that counts can be
counted.
William Bruce Cameron
@mhawksey 32
“
alt.ac.uk
What kind of learners are we
trying to create?
this should drive our analytics
Simon Buckingham Shum
@mhawksey 33
“
alt.ac.uk
Learning Analytics can’t be “Computer
says no”
@mhawksey 34
alt.ac.uk
Useful links
• LACE (learning analytics community exchange) :
http://www.laceproject.eu/
• SoLAR : Society for Learning Analytics Research
http://solaresearch.org/
• Jisc: http://analytics.jiscinvolve.org/wp
• Cetis Analytics Series : http://publications.cetis.ac.uk/c/analytics
• LAK15 Conference #lak15
From http://www.slideshare.net/sheilamac/intro-to-learning-analytics-universities-
scotlanddec2014smn
@mhawksey 35
alt.ac.uk
Thank you!
@mhawksey+MartinHawksey
@mhawksey 36
Association for Learning Technology
Registered charity number: 1063519
www.alt.ac.uk @A_L_T

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Learning Analytics: Opportunities and Threats

Editor's Notes

  1. Ferguson and Buckingham Shum (2012)'s Social Learning Analytics: Five Approaches defines five dimensions of social learning for which one could create instruments: social network analytics — interpersonal relationships define social platforms discourse analytics — language is a primary tool for knowledge negotiation and construction content analytics — user-generated content is one of the defining characteristics of Web 2.0 disposition analytics — intrinsic motivation to learn is a defining feature of online social media, and lies at the heart of engaged learning, and innovation context analytics — mobile computing is transforming access to both people and content.
  2. Not surveillance and control but guidance and support
  3. Clarity - open definition of purpose, scope and boundaries, even if that is broad and in some respects extent open-ended. Comfort and care - consideration for both the interests and the feelings of the data subject and vigilance regarding exceptional cases. Choice and consent - informed individual opportunity to opt-out or opt-in. Consequence and complaint - recognition that there may be unforeseen consequences and therefore provision of mechanisms for redress. (p. 6)