VIII eMadrid Workshop on «Cyberlearning»

1. Classroom Translucence
and Data Storytelling
Roberto Martinez-Maldonado
Roberto.MartinezMaldonado.net
twitter: @RobertoResearch

2. Lecturer and undergrad and postgrad subject coordinator
Interested in pedagogy (PBL, participatory curriculum)
Research in Educational Data mining
Tutoring (lots of teaching in engineering)
Research in CSCL, classroom orchestration, group cognition
Research in surface technology, sensors, trackers, analytics
Mentored by Prof. Peter Goodyear on D4L and Networked Learning
background
2018
1984

3. Classroom Data
DATA

4. classroom data

5. uts.edu.au

6. Visibility
Awareness
Accountability
Based on Erickson’s Social Translucence

7. uts.edu.au
opaque surfaces
complete physical
and visual separation

8. uts.edu.au
transparency
physical separation with full visual connectio

9. uts.edu.au
translucency
A frosted or sand-blasted
glass wall allows light
and some visual clues
to communicate
while preventing physical
connection.

10. uts.edu.au
classroom translucency and DATA
Visibility
Awareness
Accountability
Based on Erickson’s Social Translucence

11. 11
three projects
Classroom Analytics
Collaborative Learning
Data Storytelling

12. …some learning spaces cannot be
moved to the virtual world

13. learning can be very physical…

14. bringing sensors to the classroom

16. 16
Example of following a teacher in a collaborative classroom
holding a tablet-based dashboard

17. SOURCE: Fred Jones Tools for Teaching
Teacher’s mobility and
proximity

18. 18
Instrumenting Learning Spaces

20. Possible application in the clinical field

21. Possible application in the clinical field

22. 22
Classroom Analytics
Collaborative Learning
Data Storytelling
three projects

23. COLLOCATED GROUPWARE

24. Learning Analytics meet Patient Manikins

25. Apparatus

26. Heatmaps of mobility data during student’s activity (1 hr)
divided in quarters for two groups of the same classroom session
Heatmaps of mobility data

27. Physical Learning Analytics

28. Initial prototype of awareness tool

29. 29
Classroom Analytics
Collaborative Learning
Data Storytelling
three projects

30. before after
First step: decluttering a graph

31. Data storytelling is about communicating insights

32. Most visualisations used in current
Learning Analytics deployments are
Exploratory rather than Explanatory
(therefore, they don’t communicate insights).

33. Exploratoryvisualisation about student’s performance

36. Exploratory visualisation about student’s performance

37. Explanatory visualisation about student’s performance

38. Exploratory visualisation Explanatory visualisation

39. uts.edu.au
classroom translucency and DATA
Visibility
Awareness
Accountability
Based on Erickson’s Social Translucence

40. Classroom Translucence
and Data Storytelling
Roberto Martinez-Maldonado
Roberto.MartinezMaldonado.net@RobertoResearch

41. A theoretical perspective to
Classroom Analytics (under
development) based on:
Distributed cognition
Internet of things
Orchestration

42. Unfolding Learning Activity
Space
Distributed
Cognition
Artefacts
People Time

43. Anything
Anywhere Anytime
Unfolding Learning Activity
Space
Distributed
Cognition
Distributed
Connectivit
y
Artefacts
People Time
Internet & IoT
Sensors

44. Anything
Anywhere Anytime
Unfolding Learning Activity
Space
Distributed
Cognition
Distributed
Connectivit
y
Distributed Data
& Analytics
Artefacts
People Time
Internet & IoT
Sensors
Data & Analytics
Behavio
ur Profiles
Outcom
es Models

45. Anything
Anywhere Anytime
Unfolding Learning Activity
Space
Distributed
Cognition
Distributed
Connectivit
y
Distributed Data
& Analytics
Support
to teachers
& learners
Artefacts
People Time
Theory
building
Internet & IoT
Sensors
Data & Analytics
Behavio
ur Profiles
Outcom
es Models

46. Anything
Anywhere Anytime
Unfolding Learning Activity
Space
Distributed
Cognition
Distributed
Connectivit
y
Distributed Data
& Analytics
Design
epistemic, set,
social
Support
to teachers
& learners
Distributed
Orchestration
Artefacts
People Time
Enactment
adaptation,
awareness
management
Theory
building
Internet & IoT
Sensors
Data & Analytics
Behavio
ur Profiles
Outcom
es Models

47. Anything
Anywhere Anytime
Unfolding Learning Activity
Space
Distributed
Cognition
Distributed
Connectivit
y
Distributed Data
& Analytics
Design
epistemic, set,
social
Support
to teachers
& learners
Distributed
Orchestration
Artefacts
People Time
Enactment
adaptation,
awareness
management
Theory
building
Internet & IoT
Sensors
Data & Analytics
Behavio
ur Profiles
Outcom
es Models

48. CIC’S DOCTORAL PROGRAM IN LEARNING ANALYTICS IS
OFFERING SOME SCHOLARSHIP OPTIONS.
THE TOPICS ARE:
1. Learning Analytics Across Spaces
2. Writing Analytics
3. Human-Centred Design for LA
4. Debate Visualisation and Analytics
Do your PhD in Sydney!
@RobertoResearch
Thanks!
Roberto.Martinez-Maldonado@uts.edu.au