1. WIFI: Harvard Guest
http://www.slideshare.net/LA-Boston

2. * WIFI: “Harvard Guest”
* Bathrooms
* Water
* Slideshare
* Timing
http://www.slideshare.net/LA-Boston
Logistics

4. 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.
1st International Conference on Learning Analytics and Knowledge
An emerging field concerned with analyzing the vast data “given off” by
learners in technology supported settings to inform educational theory
and practice.
Suthers & Verbert, 2013
A field associated with deciphering trends and patterns from educational
big data, or huge sets of student-related data, to further the
advancement of a personalized, supportive system of higher education.
Educause 2013 Higher Ed Report
@cwmlang
#lasi13

5. What’s new here?
Number of
people
Number of
variables
Number of
time points
Feed-
back

7. Who?
Possibilities
How? (buzzwords)
Three slices

8. Possibilities
Personaliz
-ation
AccessDiscovery Auto-
mation
Account-
ability
Achieve-
ment
Stealth Profit

9. Buzzwords
MOOCs
Quantified
Self The Cloud Service Oriented
Architecture
Dashboards
Data
Stream
2.0, 3.0,
4.0…
The Next Big
Thing
Mobile
Apps
Dark Data Hack-
Flipped
Classroom
Big Data
Tablet
(Phablet?)
Gamification Portfolio

10. Who?
Educational
Data Mining
Academic
Analytics
Learning
Sciences

11. Who?

12. Definition

14. LASI Info
http://www.solaresearch.org/events/lasi/
#lasiboston, #lasi13, #lasiuk, #LASIlocal, #LASIspain,
#LASIams, #lasilyons, #lasiaalborg, @cwmlang
E-Room
http://bit.ly/LASI-eRoom

15. Learning Analytics
Summer Institute
LASI-Boston
LAK13 Conference Highlights
Garron Hillaire

16. Data Collection

17. Learning Analytics
Log Parsing Data Collection
Harrer 2013, Analytics of collaborative planning in Metafora -
architecture, data, and analytic methods

18. Learning Analytics Instrumentation
with virtual machines (VMs)
Abelardo 2013, Keynote presentation. Bridging the Middle Space with
Learning Analytics. Keynote presentation at the International
Conference on Learning Analytics and Knowledge, Leuven, Belgium.

19. D’Aquin Jay 2013, Interpreting Data Mining Results with Linked Data for
Learning Analytics: Motivation, Case Study and Directions
Linked Data Analysis
Enriching Data for Learning Analytics

20. Complex Inquiry & Learning Analytics
Real Time Data Aggregation
Slotta et al 2013, Orchestrating of complex inquiry: Three roles for
learning analytics in a smart classroom infrastructure

21. Data Analysis

22. Learning Curve Analysis
www.itif.org/files/2012-thille.pdf
pslcdatashop.web.cmu.edu
http://www.crlt.umich.edu/sites/default/files/resource_files/SLAM%2011-9-12%20Lovett%20Presentation.pdf

23. Social Network Analysis
Fergusen et al 2013, Visualizing Social Learning Ties by Type and Topic: Rationale and
Concept Demonstrator

24. Nanogenetic Learning Analytics
martin 2013, Nanogenetic Learning
Analytics: Illuminating Student Learning
Pathways in an Online Fraction Game
http://games.soe.ucsc.edu/proj
ect/refraction-level-generation

25. Multi-Modal Analytics
(Worsley Bilkstein 2013) Towards the Development of
Multimodal Action Based Assessment

26. Affective States and State Tests
Intelligent Tutoring Systems
Pardoes et al 2013, Affective states and state tests: Investigating how affect
throughout the school year predicts end of year learning outcomes

27. Learning Analytics
Collaboration Sensing
(Schneider et al 2013)
Toward Collaboration
Sensing: Applying
Network Analysis
Techniques to
Collaborative Eye-tracking
Data
www.bertrandschneider.com

28. Questions?

29. References
• Schneider et al 2013, Toward Collaboration Sensing: Applying Network Analysis Techniques to Collaborative
Eye-tracking Data
• Worsley Bilkstein 2013, Towards the Development of Multimodal Action Based Assessment
• D’Aquin Jay 2013, Interpreting Data Mining Results with Linked Data for Learning Analytics: Motivation, Case
Study and Directions
• martin 2013, Nanogenetic Learning Analytics: Illuminating Student Learning Pathways in an Online Fraction
Game
• Fergusen et al 2013, Visualizing Social Learning Ties by Type and Topic: Rationale and Concept Demonstrator
• Pardoes et al 2013, Affective states and state tests: Investigating how affect throughout the school year
predicts end of year learning outcomes
• Slotta et al 2013, Orchestrating of complex inquiry: Three roles for learning analytics in a smart classroom
infrastructure
• Harrer 2012, Analytics of collaborative planning in Metafora - architecture, data, and analytic methods
• Abelardo 2013,. Bridging the Middle Space with Learning Analytics. Keynote presentation at the
International Conference on Learning Analytics and Knowledge, Leuven, Belgium, 10-12 April 2013.
• Lovett 2013, http://www.itif.org/files/2012-thille.pdf
• http://www.crlt.umich.edu/sites/default/files/resource_files/SLAM%2011-9-
12%20Lovett%20Presentation.pdf
• http://myles.jiscinvolve.org/wp/2013/04/10/day-1-am-learning-analytics-and-knowledge-conference-
april-2013/
• http://games.soe.ucsc.edu/project/refraction-level-generation
• www.bertrandschneider.com