03_07_2018 «Making the classroom translucent through IoT technology and data storytelling», by Roberto Martínez-Maldonado, University of Technology Sydney, Australia
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03_07_2018 «Making the classroom translucent through IoT technology and data storytelling», by Roberto Martínez-Maldonado, University of Technology Sydney, Australia
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
9. uts.edu.au
translucency
A frosted or sand-blasted
glass wall allows light
and some visual clues
to communicate
while preventing physical
connection.
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
32. Most visualisations used in current
Learning Analytics deployments are
Exploratory rather than Explanatory
(therefore, they don’t communicate insights).
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