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Classroom Translucence
and Data Storytelling
Roberto Martinez-Maldonado
Roberto.MartinezMaldonado.net
twitter: @RobertoResearch
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
Classroom Data
DATA
classroom data
uts.edu.au
Visibility
Awareness
Accountability
Based on Erickson’s Social Translucence
uts.edu.au
opaque surfaces
complete physical
and visual separation
uts.edu.au
transparency
physical separation with full visual connectio
uts.edu.au
translucency
A frosted or sand-blasted
glass wall allows light
and some visual clues
to communicate
while preventing physical
connection.
uts.edu.au
classroom translucency and DATA
Visibility
Awareness
Accountability
Based on Erickson’s Social Translucence
11
three projects
Classroom Analytics
Collaborative Learning
Data Storytelling
…some learning spaces cannot be
moved to the virtual world
learning can be very physical…
bringing sensors to the classroom
16
Example of following a teacher in a collaborative classroom
holding a tablet-based dashboard
SOURCE: Fred Jones Tools for Teaching
Teacher’s mobility and
proximity
18
Instrumenting Learning Spaces
Possible application in the clinical field
Possible application in the clinical field
22
Classroom Analytics
Collaborative Learning
Data Storytelling
three projects
COLLOCATED GROUPWARE
Learning Analytics meet Patient Manikins
Apparatus
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
Physical Learning Analytics
Initial prototype of awareness tool
29
Classroom Analytics
Collaborative Learning
Data Storytelling
three projects
before after
First step: decluttering a graph
Data storytelling is about communicating insights
Most visualisations used in current
Learning Analytics deployments are
Exploratory rather than Explanatory
(therefore, they don’t communicate insights).
Exploratoryvisualisation about student’s performance
Exploratory visualisation about student’s performance
Explanatory visualisation about student’s performance
Exploratory visualisation Explanatory visualisation
uts.edu.au
classroom translucency and DATA
Visibility
Awareness
Accountability
Based on Erickson’s Social Translucence
Classroom Translucence
and Data Storytelling
Roberto Martinez-Maldonado
Roberto.MartinezMaldonado.net@RobertoResearch
A theoretical perspective to
Classroom Analytics (under
development) based on:
Distributed cognition
Internet of things
Orchestration
Unfolding Learning Activity
Space
Distributed
Cognition
Artefacts
People Time
Anything
Anywhere Anytime
Unfolding Learning Activity
Space
Distributed
Cognition
Distributed
Connectivit
y
Artefacts
People Time
Internet & IoT
Sensors
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
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
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
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
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

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