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Data analytics to support
awareness and recommendation
Katrien Verbert
WISE research group
Department of Computer Science
...
Data analytics	

Src: Steve Schoettler
Healthcare Learning analytics
Applications
Overview research topics
4
Overview research topics
5
Student Activity Meter (SAM)
6
Govaerts, S., Verbert, K., Duval, E., & Pardo, A. (2012, May). The student activity meter f...
http://bit.ly/I7hfbe
Design Based Research Methodology
¤ Rapid prototyping	

¤ Evaluate Ideas in short iteration cycles of Design,
Implementa...
demographics	

tool
deployed	

tracking tools	

 data tracked	

#cgiar
	

19 teachers	

 SAM	

 LMS	

resource use,
commun...
Evaluation results
10
Verbert, K., Govaerts, S., Duval, E., Santos, J. L., Van Assche, F., Parra,
G., & Klerkx, J. Learnin...
Overview research topics
11
Recommender systems
12
User-based CF
A
B
C
A
B
C
Item-based CF
similarity measures
¤  Cosine similarity	

¤  Pearson correlation	

¤  Tanimoto or extended Jaccard coefficient
similarity measures
16
MAE of item-based collaborative filtering based on different
similarity metrics
algorithms
MAE of user-based, item-based and slope-one collaborative filtering
data dimensions
Challenges
¤  context acquisition	

¤  standardized representation of contextual data	

¤  evaluation	

¤  user interf...
Overview research topics
22
Problem statement
¤  Complexity prevents users from comprehending results
¤  Trust issues when recommendations fail
¤  ...
Conference Navigator
24
Interrelations agents – users - tags
25
Interrelations agents – users
26
Interrelations agents - tags
27
TalkExplorer
28
effectiveness
How frequently a specific
combination type produced
a display that was used to
bookmark at least one
interes...
Summary results
30
31
information visualisation - information retrieval - information (data) mining
32http://www.youtube.com/watch?v=9LwSx1V6Yxk
Combining information mining and visualization
Core objectives:
• make mining results comprehensible for users
• enable us...
Thank you!
Questions?
34
katrien.verbert@vub.ac.be
@katrien_v
Data analytics to support awareness and recommendation
Data analytics to support awareness and recommendation
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Transcript of "Data analytics to support awareness and recommendation"

  1. 1. Data analytics to support awareness and recommendation Katrien Verbert WISE research group Department of Computer Science katrien.verbert@vub.ac.be 27/03/14
  2. 2. Data analytics Src: Steve Schoettler
  3. 3. Healthcare Learning analytics Applications
  4. 4. Overview research topics 4
  5. 5. Overview research topics 5
  6. 6. Student Activity Meter (SAM) 6 Govaerts, S., Verbert, K., Duval, E., & Pardo, A. (2012, May). The student activity meter for awareness and self-reflection. In CHI'12 EA (pp. 869-884). ACM.
  7. 7. http://bit.ly/I7hfbe
  8. 8. Design Based Research Methodology ¤ Rapid prototyping ¤ Evaluate Ideas in short iteration cycles of Design, Implementation & Evaluation ¤ Focus on Usefulness & Usability ¤ Think-aloud evaluations, SUS (System Usability Scale) surveys, usability lab, ...
  9. 9. demographics tool deployed tracking tools data tracked #cgiar 19 teachers SAM LMS resource use, communication, time spent #lak11 12 participants SAM LMS resource use, communication, time spent #uc3m 11 teachers SAM Virtual machine resource use, programming errors, debugging, time spent; artefacts produced #thesis11 13 students Step-Up! Twitter, Tinyarm, blogs resource use, artefacts produced #thesis11- sup 5 teachers Step-Up! Twitter, Tinyarm, blogs resource use, artefacts produced #peno3 10 students Step-Up! Toggl Time spent, resource and application use #chikul 30 students Step-Up! Toggl, twitter, blogs twitter, blogs, time spent, resource use
  10. 10. Evaluation results 10 Verbert, K., Govaerts, S., Duval, E., Santos, J. L., Van Assche, F., Parra, G., & Klerkx, J. Learning dashboards: an overview and future research opportunities. Personal and Ubiquitous Computing, 1-16. http://link.springer.com/article/10.1007/s00779-013-0751-2
  11. 11. Overview research topics 11
  12. 12. Recommender systems 12
  13. 13. User-based CF A B C
  14. 14. A B C Item-based CF
  15. 15. similarity measures ¤  Cosine similarity ¤  Pearson correlation ¤  Tanimoto or extended Jaccard coefficient
  16. 16. similarity measures 16 MAE of item-based collaborative filtering based on different similarity metrics
  17. 17. algorithms MAE of user-based, item-based and slope-one collaborative filtering
  18. 18. data dimensions
  19. 19. Challenges ¤  context acquisition ¤  standardized representation of contextual data ¤  evaluation ¤  user interfaces
  20. 20. Overview research topics 22
  21. 21. Problem statement ¤  Complexity prevents users from comprehending results ¤  Trust issues when recommendations fail ¤  Aggravated with contextual recommendation ¤  The black box nature of RS prevents users from providing feedback ¤  Algorithms typically hard-wired in the system code ¤  generate a list of top-N recommendations ¤  little research has been done to study more flexible approaches 23
  22. 22. Conference Navigator 24
  23. 23. Interrelations agents – users - tags 25
  24. 24. Interrelations agents – users 26
  25. 25. Interrelations agents - tags 27
  26. 26. TalkExplorer 28
  27. 27. effectiveness How frequently a specific combination type produced a display that was used to bookmark at least one interesting item Dimensions of relevance are not equal The more aspects of relevance are used, the more effective it is Especially effective are fusions across relevance dimensions 29
  28. 28. Summary results 30
  29. 29. 31 information visualisation - information retrieval - information (data) mining
  30. 30. 32http://www.youtube.com/watch?v=9LwSx1V6Yxk
  31. 31. Combining information mining and visualization Core objectives: • make mining results comprehensible for users • enable users to steer the information mining process
  32. 32. Thank you! Questions? 34 katrien.verbert@vub.ac.be @katrien_v
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