ALT-C2012 Learning Analytics Symposium
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Transcript of ALT-C2012 Learning Analytics Symposium
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Simon Buckingham Shum, Naomi Jeffery, Kevin Mayles, Richard Nurse & Rebecca Ferguson The Open University (KMI, IET, LTS & Library)
Sheila MacNeill JISC CETIS
Symposium: Confronting Reality with…
Big Data & Learning Analytics http://altc2012.alt.ac.uk/talks/28051
ALT-C 2012, Manchester — “A Confrontation with Reality” @sbskmi @R3beccaF @kevinmayles @sheilmcn @richardn2009
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intro
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Symposium: Confronting Reality with…
Big Data & Learning Analytics
Simon Buckingham Shum
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John Daniel
3 http://www.col.org/resources/speeches/2012presentations/Pages/2012-02-01.aspx
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Possibly 90% of the digital data we have today was generated in the last 2 years Volume The sheer amount of data outstrips old infrastructure capacity
Variety Internet of things, e-business transactions, environmental sensors, social media, audio, video, mobile…
Velocity The speed of data access and analysis is exploding A quantitative shift of this scale is in fact a qualitative shift, requiring
new ways of thinking about societal phenomena
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edX: “this is big data giving us the chance to ask big questions about learning”
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US states are getting the infrastructure in place to share educational data across the silos
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dataqualitycampaign.org
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Analytics in your VLE: Blackboard: feedback to students
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http://www.blackboard.com/Platforms/Analytics/Overview.aspx
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Analytics in your VLE: Desire2Learn visual analytics & predictive models
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http://www.desire2learn.com/products/analytics
Students
Online tools
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Adaptive platforms (ITS comes of age) generate fine-grained analytics
http://knewton.com
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Adaptive platforms (ITS comes of age) generate fine-grained analytics
http://oli.cmu.edu
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Purdue University Signals Real time traffic-lights for students based on a predictive model
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Premise: academic success is defined as a function of aptitude (as measured by standardized test scores and similar information) and effort (as measured by participation within the CMS). Using factor analysis and logistic regression, a model was tested to predict student success based on:
• ACT or SAT score • Overall grade-point average • CMS usage composite • CMS assessment composite • CMS assignment composite • CMS calendar composite
Campbell et al (2007). Academic Analytics: A New Tool for a New Era, EDUCAUSE Review, vol. 42, no. 4 (July/August 2007): 40–57. http://bit.ly/lmxG2x
Predicted 66%-80% of struggling students who needed help
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The Wal-Martification of education?
12 http://chronicle.com/blogs/techtherapy/2012/05/02/episode-95-learning-analytics-could-lead-to-wal-martification-of-college/
“What counts as data, how do you get it, and what does it
actually mean?”
“The basic question is not what can we measure? The basic question is
what does a good education look like?
Big questions.
“data narrowness” “instrumental learning”
“students with no curiosity”
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It’s about insight and sensemaking, not data
Al Essa: Learning Analytics… less data, more insight. Analytics primary task is not to report the past, but to help find the optimal path to a desired future George Siemens: Analytics doesn’t end with the data dashboard – that’s when it really starts – it’s all about sensemaking
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JISC surveying the UK landscape
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Symposium: Confronting Reality with…
Big Data & Learning Analytics
Sheila McNeill
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Confronting Big Data and Learning Analytics
ALT-C 2012
Sheila MacNeill Assistant Director
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Big data and analytics in education
n Shift from data collecting to data connecting n Develop data informed mind–sets n Integration of multiple (structured and unstructured) data
sources n Management and use of real-time data
n ((http://blogs.cetis.ac.uk/cetisli/2011/12/14/big-data-and-analytics-in-education-and-learning/)
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JISC Cetis view of the landscape
Business Intelligence
Learning Analytics CRM
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practice
research
management
data
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Analytics Reconnoitre
n Practical guidance of/for uses of analytics n Who, why, what, where, when and how n Audience: first movers and early adopters n Topics: whole institutional issues, research, teaching and
learning, legal and ethical issues, skills & literacies, professional development, technology and infrastructure
n http://jisc.cetis.ac.uk/topic/analytics
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open.edu VLE
perspective 20
Symposium: Confronting Reality with…
Big Data & Learning Analytics
Kevin Mayles
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VLE Analy*cs @ the OU
Virtual Learning
Environment Data Warehouse
Usage sta*s*cs at system, faculty and module level – general paAerns
‘Par*cipa*on Tracking’ func*on to track individual students’ interac*on with specific
online learning ac*vi*es In pilot 2012/13
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open.edu Library
perspective 22
Symposium: Confronting Reality with…
Big Data & Learning Analytics
Richard Nurse
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Learning Analytics – the Library dimension
http://www.flickr.com/photos/davepattern/6928727645/sizes/o/in/photostream/
Library Impact Data Project – Huddersfield University
‘Students who looked at this article also looked at this article’
‘Students on your course are looking at these articles’
Student achievement
Library use
Recommender services
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open.edu social learning
analytics 24
Symposium: Confronting Reality with…
Big Data & Learning Analytics
Rebecca Ferguson
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Network analytics help me identify • People with relevant interests • People who support my learning
Discourse analytics help me locate • Challenges and Extensions • Evaluation and Reasoning
focus on how learners build knowledge together in their cultural and social settings
Social learning analytics
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open.edu bringing it all
together 26
Symposium: Confronting Reality with…
Big Data & Learning Analytics
Naomi Jeffrey
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the floor is yours…
Does this excite or disturb you?
Who doesn’t want education to be evidence-based and high impact?
Who gets to see – and define – analytics?
What does ‘good’ learning look like in an analytics dashboard?
How might analytics be misinterpreted?
What ethical issues arise?
Your point or question…
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Symposium: Confronting Reality with…
Big Data & Learning Analytics
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join the community…
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Symposium: Confronting Reality with…
Big Data & Learning Analytics
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UK SoLAR “Flare” (national meetup) Mon 19 Nov
Open University Co-sponsored by OU & JISC
@SoLAResearch #LearningAnalytics
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SoLAResearch.org
3rd Int. Conf. Learning Analytics & Knowledge LAK13, Leuven
8-12 April 2013
lakconference.org @LAKconf
www.educause.edu/library/analytics
http://jisc.cetis.ac.uk/topic/analytics