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Data visualisation
tools for teaching in
MOOCs
Manuel León Urrutia
@mleonurr
m.leon-
urrutia@soton.ac.uk
Madrid, 17
Novemb...
Overview
• Who we are
• What we do, why we do it
• How do we do it
• The impact of what we do
Our case
University of Southampton & FutureLearn
• 15 MOOCs
• 50+ runs
• ½+ million learners (Futurelearn 5m+!)
• 200 + da...
Is Learning Analytics the answer?
Massive Open Online Courses (MOOCs)
• have been long recognised for their
potential to p...
Why do we do it? Data
value chain
[Miller and Mork, 2013 ]
Why do we do it? Data
value chain
[Miller and Mork, 2013
FutureLearn
Why do we do it? Data
value chain
[Miller and Mork, 2013
UoS
Why do we do it? Data value chain
Terminology
• Courses
• Runs
• Learning Activities (“steps”)
• Learners vs. Fully-participating Learners
• Retention_step(...
Datasets
Text files in Comma Separated
Values (CSV) format:
• enrolment data
• comments data
• step activity data
• quiz d...
An Integrated toolset and data infrastructure:
the UoS MOOC Dashboard
MOOC Datasets
in .csv
Converted to SQL
Stored &
Host...
Selecting a run in a course
through the MOOC dashboard
Case: Origin country
for all CM learners
Course comparison, data aggregation
All learners Learners between 18-25 years old
Course progress, daily
Use cases
RQ1: How can different roles involved in MOOCs
benefit from the MOOC Dashboard
RQ2: What features are most/least...
Facilitators preliminary
impressions
Comments viewer
• generally useful for filtering comments
• needs link to comments, b...
Researhers preliminary
impressions
Comments viewer
• Great potential for text mining
Demographics dashboard
• Useful to kn...
Future work
• Mixed methods study: use of the
dashboard by instructors
• Dashboard enhancement
• Aggregate cross-instituti...
References
https://www.mendeley.com/groups/2754851/mo
oc-observatory/
@mleonurr
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Conferencia eMadrid sobre "El uso de herramientas telemáticas en la facilitación de MOOC: primeras impresiones". Manuel León Urrutia. Universidad de Southampton. 17/11/2016.

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Conferencia eMadrid sobre "El uso de herramientas telemáticas en la facilitación de MOOC: primeras impresiones". Manuel León Urrutia. Universidad de Southampton. 17/11/2016.

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Conferencia eMadrid sobre "El uso de herramientas telemáticas en la facilitación de MOOC: primeras impresiones". Manuel León Urrutia. Universidad de Southampton. 17/11/2016.

  1. 1. Data visualisation tools for teaching in MOOCs Manuel León Urrutia @mleonurr m.leon- urrutia@soton.ac.uk Madrid, 17 November
  2. 2. Overview • Who we are • What we do, why we do it • How do we do it • The impact of what we do
  3. 3. Our case University of Southampton & FutureLearn • 15 MOOCs • 50+ runs • ½+ million learners (Futurelearn 5m+!) • 200 + datasets • 6 courses running at the moment • A MOOC Dashboard developed and in use • Different internal stakeholders starting to use it
  4. 4. Is Learning Analytics the answer? Massive Open Online Courses (MOOCs) • have been long recognised for their potential to provide insights on how learning takes place online. MOOC data analytics • can lead to the identification of weaknesses in the learning materials Quantitative educational data analysis alone • cannot address learners’ needs [ Koller, 2012 ] [ Bates, 2012 ] [ Daniel, 2012 ]
  5. 5. Why do we do it? Data value chain [Miller and Mork, 2013 ]
  6. 6. Why do we do it? Data value chain [Miller and Mork, 2013 FutureLearn
  7. 7. Why do we do it? Data value chain [Miller and Mork, 2013 UoS
  8. 8. Why do we do it? Data value chain
  9. 9. Terminology • Courses • Runs • Learning Activities (“steps”) • Learners vs. Fully-participating Learners • Retention_step(c, r, s) • Retention_week(c, r, w)
  10. 10. Datasets Text files in Comma Separated Values (CSV) format: • enrolment data • comments data • step activity data • quiz data • peer review data
  11. 11. An Integrated toolset and data infrastructure: the UoS MOOC Dashboard MOOC Datasets in .csv Converted to SQL Stored & Hosted in UoS Queried & Analysed by MOBS
  12. 12. Selecting a run in a course through the MOOC dashboard
  13. 13. Case: Origin country for all CM learners
  14. 14. Course comparison, data aggregation All learners Learners between 18-25 years old
  15. 15. Course progress, daily
  16. 16. Use cases RQ1: How can different roles involved in MOOCs benefit from the MOOC Dashboard RQ2: What features are most/least useful RQ3: How can we improve the dashboard
  17. 17. Facilitators preliminary impressions Comments viewer • generally useful for filtering comments • needs link to comments, back to platform Demographics dashboard • Satisfies curiosity • Unlikely to be useful for interventions Activity measures • Useful to target particular steps, and dates or events • Not useful for interventions
  18. 18. Researhers preliminary impressions Comments viewer • Great potential for text mining Demographics dashboard • Useful to know MOOC populations better Activity measures • Useful to target particular steps, and dates or events • Useful to evaluate course
  19. 19. Future work • Mixed methods study: use of the dashboard by instructors • Dashboard enhancement • Aggregate cross-institution analysis • Aggregate cross-platform analysis
  20. 20. References https://www.mendeley.com/groups/2754851/mo oc-observatory/
  21. 21. @mleonurr

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