Learning Analytics: a foundation for informed change in Higher education

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Learning Analytics a foundation for informed
change in Higher education

• George Siemens
• Technology Enhanced Knowledge Research Institute
  (TEKRI)
• Athabasca University, Canada
• January 10, 2011

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• https//tekri.athabascau.ca/analytics/
• http//www.learninganalytics.net/

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Black box of education
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• Hell is a place where nothing connects with
  nothing
• T.S. Eliot

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• or where everything connects with everything

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1. Introduction to learning analytics
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Academic Analytics

• Academic analytics helps address the publics
  desire for institutional accountability with
  regard to student success, given the widespread
  concern over the cost of higher education and the
  difficult economic and budgetary conditions
  prevailing worldwide.
• http//www.educause.edu/EDUCAUSEQuarterly/EDUCAUS
  EQuarterlyMagazineVolum/SignalsApplyingAcademicAna
  lyti/199385

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Learning Analytics

• Learning analytics is the 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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Knowledge Analytics

• Linked data, semantic web, knowledge webs how
  knowledge connects, how it flows, how it changes

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2. Rise of Big data
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• This is a world where massive amounts of data
  and applied mathematics replace every other tool
  that might be brought to bear. Out with every
  theory of human behavior, from linguistics to
  sociology. Forget taxonomy, ontology, and
  psychology. Who knows why people do what they do?
  The point is they do it, and we can track and
  measure it with unprecedented fidelity. With
  enough data, the numbers speak for themselves.
• The big target here isn't advertising, though.
• It's science.
• http//www.wired.com/science/discoveries/magazine/
  16-07/pb_theory

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• Social data is set to be surpassed in the data
  economy, though, by data published by physical,
  real-world objects like sensors, smart grids and
  connected devices.
• http//www.readwriteweb.com/archives/china_moves_t
  o_dominate_the_next_stage_of_the_web_internet_of_t
  hings.php

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Blurring the physical and virtual worlds
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• Central Nervous System for Earth (CeNSE)
• http//www.hpl.hp.com/research/intelligent_infrast
  ructure/

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Smarter Planet
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All the world is data. And so are we. And all of
our actions.
http//www.hoganphoto.com/batsto_grist_mill.htm
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3. Semantic Web, Linked Data, Intelligent
Curriculum
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Integrated Knowledge and Learning Analytics
Model iKLAM

• Bringing together physical (organizational
  resources, presence, libraries) and locational
  (xWeb) data with online activities (in various
  places email, FB, LMS, PLE, CRM)to improve
  personal learning and knowledge evaluation

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4. Tools Examples of Analytics
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http//research.uow.edu.au/learningnetworks/seeing
/snapp/index.html
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Educational change driven by analytics
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Many, Many concerns

• Privacy
• Security
• Ethics
• Ownership
• Technical infrastructure and protocols
• Skills needed?

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Type of analytics Who Benefits?
Course-level social networks, conceptual development, language analysis Learners, faculty
Aggregate predictive modeling, patterns of success/failure Learners, faculty
Institutional learner profiles, performance of academics, knowledge flow Administrators, funders, marketing
Regional (state/provincial) comparisons between systems Funders, administrators
National International National governments
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• Twitter/Facebook/Quora gsiemens
• Newsletter www.elearnspace.org
• Learning Analytics Knowledge Conference
  https//tekri.athabascau.ca/analytics/ (February
  27-March 1, 2011. Banff, Canada)
• Open Course http//learninganalytics.net