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What is Learning Analytics? 
Dr Doug Clow 
Institute of Educational Technology, The Open University, UK 
@dougclow 
dougclow.org 
doug.clow@open.ac.uk
2 
2 
(CC) BY – You are free to: 
copy, share, adapt, or re-mix; 
photograph, film, or broadcast; 
blog, live-blog, or post video of 
this presentation provided that: 
You attribute the work to its author and respect the rights and 
licences associated with its components.
What is learning analytics? 
• 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), Banff, Alberta, Feb 27- 
Mar 1, 2011 
Photo (CC)-BY Cris: http://flickr.com/photos/chrismatos/6917786197/
“collecting traces 
that learners leave 
behind and using 
those traces to 
improve learning” 
- Erik Duval 
http://erikduval.wordpress.com/2012/01/30/learning-analytics- 
and-educational-data-mining/ 
Photo public domain: http://commons.wikimedia.org/wiki/File:DESYNebelkammer.jpg
“feeding back the 
data exhaust” 
Big Data in 
Education 
Photo (CC)-BY Iain Watson http://www.flickr.com/photos/dagoaty/3329699788/
Clow, LAK12, 2012
• Predictive modeling 
– Datamining, Blackboard 
• Place students in one of three risk groups 
– traffic light / signal / robot 
• Trigger for intervention emails 
• Dramatic retention improvements 
• Consistent grade performance improvement
(cc) Doug Clow http://dougclow.org
What data do we have about learners? 
• Demographics 
– Gender, age, ethnicity, socio-economic status, address 
• Previous educational experience 
– Schools, grades, results 
• Grades, scores, achievements, struggles 
• Attendance, location, gaze 
– Smart cards, proximity detectors 
• Online tracking 
– VLE / LMS data: views, posts, interactions, quiz results 
• Other online activity 
– Cross-tracking cookies 
• … more every week. 
9 
Photo (CC)-BY-SA AJ Cann https://www.flickr.com/photos/ajc1/15574010080/
What can we do with that data? 
• Identify learners who need help 
– Simple or predictive 
• Trigger interventions 
– Via teacher, or direct 
• Learn which interventions work 
• Build a complete cognitive learning system 
• Suggest resources or source of help 
– Learners like you found this helpful 
– This person might be able to help you 
10 
Photo (CC)-BY-NC Pulpolux https://www.flickr.com/photos/pulpolux/8735428280
11 
control 
surveillance 
Photo (CC)-BY Andy Roberts https://www.flickr.com/photos/aroberts/3035796
12 
guidance 
support 
Photo (CC)-BY-NC-SA Drew Bennett https://www.flickr.com/photos/abennett96/2710211041
“The predictive model 
was used as a trigger for 
intervention emails to the 
student.” 
Image (cc) Darwin Bell http://www.flickr.com/photos/darwinbell/296553221/ 
13
From: 
DONOTREPLY@mail.example.com 
You are in trouble. The 
computer predictive model 
gives you a 87.4322% chance 
of failing this course. You 
must see a teacher 
immediately. 
Image (cc) Darwin Bell http://www.flickr.com/photos/darwinbell/296553221/ 
14
From: 
DONOTREPLY@mail.example.com 
You are in trouble. The 
computer predictive model 
gives you a 87.4322% chance 
of failing this course. You 
must see a teacher 
immediately. 
Image (cc) Darwin Bell http://www.flickr.com/photos/darwinbell/296553221/ 
15 
Hi Alex 
Are you Ok? I noticed you 
haven’t logged on this week, and I 
know you struggled with the last 
assessment. We can work through 
this together - let’s have a chat as 
soon as possible. 
Pat.
• Privacy 
• Data protection 
• Ethics 
• Transparency 
Glasswinged butterfly, ? Greta oro 
Principles 
Photo (CC)-BY-NC-ND by Greg Foster on Flickr http://www.flickr.com/photos/gregfoster/3365801458/
• LAK conferences 
• LASI workshops 
• Flare local meetings 
• Storm PhD training 
• Journal of LA 
• … and more! 
www.solaresearch.org
International 
Educational Data Mining 
Society 
18 
• Annual conference IEDMS 
• Journal of EDM 
• www.educationaldatamining.org
www.laceproject.eu 
Learning Analytics Community Exchange (FP7) 
• Coordination and Support 
• Evidence Hub 
• Events 
• Publications, briefings, webinars
www.laceproject.eu 
@laceproject 
“What is learning analytics?” by Doug Clow, Institute of 
Educational Technology, The Open University, UK was presented 
at EMINENT, Zurich, on 12 November 2014. 
@dougclow 
dougclow.org 
doug.clow@open.ac.uk 
This work was undertaken as part of the LACE Project, supported by the European Commission Seventh 
Framework Programme, grant 619424. 
These slides are provided under the Creative Commons Attribution Licence: 
http://creativecommons.org/licenses/by/4.0/. Some images used may have different licence terms. 
20
cc licensed ( BY ) flickr photo by David Goehring: http://flickr.com/photos/carbonnyc/33413040/

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What is Learning Analytics?

  • 1. What is Learning Analytics? Dr Doug Clow Institute of Educational Technology, The Open University, UK @dougclow dougclow.org doug.clow@open.ac.uk
  • 2. 2 2 (CC) BY – You are free to: copy, share, adapt, or re-mix; photograph, film, or broadcast; blog, live-blog, or post video of this presentation provided that: You attribute the work to its author and respect the rights and licences associated with its components.
  • 3. What is learning analytics? • 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), Banff, Alberta, Feb 27- Mar 1, 2011 Photo (CC)-BY Cris: http://flickr.com/photos/chrismatos/6917786197/
  • 4. “collecting traces that learners leave behind and using those traces to improve learning” - Erik Duval http://erikduval.wordpress.com/2012/01/30/learning-analytics- and-educational-data-mining/ Photo public domain: http://commons.wikimedia.org/wiki/File:DESYNebelkammer.jpg
  • 5. “feeding back the data exhaust” Big Data in Education Photo (CC)-BY Iain Watson http://www.flickr.com/photos/dagoaty/3329699788/
  • 7. • Predictive modeling – Datamining, Blackboard • Place students in one of three risk groups – traffic light / signal / robot • Trigger for intervention emails • Dramatic retention improvements • Consistent grade performance improvement
  • 8. (cc) Doug Clow http://dougclow.org
  • 9. What data do we have about learners? • Demographics – Gender, age, ethnicity, socio-economic status, address • Previous educational experience – Schools, grades, results • Grades, scores, achievements, struggles • Attendance, location, gaze – Smart cards, proximity detectors • Online tracking – VLE / LMS data: views, posts, interactions, quiz results • Other online activity – Cross-tracking cookies • … more every week. 9 Photo (CC)-BY-SA AJ Cann https://www.flickr.com/photos/ajc1/15574010080/
  • 10. What can we do with that data? • Identify learners who need help – Simple or predictive • Trigger interventions – Via teacher, or direct • Learn which interventions work • Build a complete cognitive learning system • Suggest resources or source of help – Learners like you found this helpful – This person might be able to help you 10 Photo (CC)-BY-NC Pulpolux https://www.flickr.com/photos/pulpolux/8735428280
  • 11. 11 control surveillance Photo (CC)-BY Andy Roberts https://www.flickr.com/photos/aroberts/3035796
  • 12. 12 guidance support Photo (CC)-BY-NC-SA Drew Bennett https://www.flickr.com/photos/abennett96/2710211041
  • 13. “The predictive model was used as a trigger for intervention emails to the student.” Image (cc) Darwin Bell http://www.flickr.com/photos/darwinbell/296553221/ 13
  • 14. From: DONOTREPLY@mail.example.com You are in trouble. The computer predictive model gives you a 87.4322% chance of failing this course. You must see a teacher immediately. Image (cc) Darwin Bell http://www.flickr.com/photos/darwinbell/296553221/ 14
  • 15. From: DONOTREPLY@mail.example.com You are in trouble. The computer predictive model gives you a 87.4322% chance of failing this course. You must see a teacher immediately. Image (cc) Darwin Bell http://www.flickr.com/photos/darwinbell/296553221/ 15 Hi Alex Are you Ok? I noticed you haven’t logged on this week, and I know you struggled with the last assessment. We can work through this together - let’s have a chat as soon as possible. Pat.
  • 16. • Privacy • Data protection • Ethics • Transparency Glasswinged butterfly, ? Greta oro Principles Photo (CC)-BY-NC-ND by Greg Foster on Flickr http://www.flickr.com/photos/gregfoster/3365801458/
  • 17. • LAK conferences • LASI workshops • Flare local meetings • Storm PhD training • Journal of LA • … and more! www.solaresearch.org
  • 18. International Educational Data Mining Society 18 • Annual conference IEDMS • Journal of EDM • www.educationaldatamining.org
  • 19. www.laceproject.eu Learning Analytics Community Exchange (FP7) • Coordination and Support • Evidence Hub • Events • Publications, briefings, webinars
  • 20. www.laceproject.eu @laceproject “What is learning analytics?” by Doug Clow, Institute of Educational Technology, The Open University, UK was presented at EMINENT, Zurich, on 12 November 2014. @dougclow dougclow.org doug.clow@open.ac.uk This work was undertaken as part of the LACE Project, supported by the European Commission Seventh Framework Programme, grant 619424. These slides are provided under the Creative Commons Attribution Licence: http://creativecommons.org/licenses/by/4.0/. Some images used may have different licence terms. 20
  • 21. cc licensed ( BY ) flickr photo by David Goehring: http://flickr.com/photos/carbonnyc/33413040/

Notas do Editor

  1. Order effect vs halo effect, Pierre Dillenbourg just before me.
  2. Please copy, adapt, photograph, video. Tell your friends!
  3. Learning analytics is on the Internet and the Internet has cats Heard already from Morten. 2011. Data mining, business intelligence, academic analytics, learner analytics – focus here is on the learning, not the management and administration of learning
  4. Photo: Cloud Chamber at the German Electron Synchrotron DESY
  5. Our data isn’t big. Most fits in Excel! Small data = Excel, Medium = laptop with R or other stats, Big = need special servers/cloud services
  6. Without interventions: still good stuff: computer science, educational research, business intelligence But only LA if fed back. What good teachers have always been doing, but more data, and better techniques.
  7. Morton has already mentioned this Concrete example Clever bits: alerts via tutor email (human connection), connect to existing support systems
  8. Speed, scale, quality of response Get it to the learners and teachers
  9. To help the learner! Not just tracking.
  10. “the predictive model was used as a trigger for intervention emails to the student”
  11. “the predictive model was used as a trigger for intervention emails to the student”
  12. “the predictive model was used as a trigger for intervention emails to the student”
  13. Privacy – education makes space to fail, make mistakes, and learn from them – and not have that held against you. Data protection – longstanding EU legislation Ethics vast, complex, tricky. 70% chance to complete (about right) but 1% chance succeed. Alex the student. Vs ignoring info could help success. When does keeping the door to success open become giving unrealistic hope? Ethics critical path. Transparency – to learners, but to the outside. Shared processes.
  14. Again heard from Peter.
  15. )