Physical Spaces Roberto Martinez-Maldonado - - PowerPoint PPT Presentation

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Physical Spaces Roberto Martinez-Maldonado - - PowerPoint PPT Presentation

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Data Storytelling and Learning Analytics in Physical Spaces Roberto Martinez-Maldonado Roberto.MartinezMaldonado.net twitter: @RobertoResearch background 2018 Mentored by Prof. Peter Goodyear on D4L and Networked Learning Tutoring (lots of

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Roberto Martinez-Maldonado

Roberto.MartinezMaldonado.net twitter: @RobertoResearch

Data Storytelling and Learning Analytics in

Physical Spaces

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SLIDE 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
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quintillion bytes of data are generated (2017)

every day more than

2.5

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quintillion bytes of data are generated (2017)

every day more than

2.5

That is a thousand raised to the power of six (1018)

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  • f
  • f the da

data that we e ha have available to today ha has s on

  • nly

bee been cr created in n the last 2-3 yea ears

90%

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"w "we ar are drownin ing in in in information, but t we ar are starv rved for

  • r

kn knowledge". ".

John Naisbitt , 1982

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Oysters = Data

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On Only ly 1 in ab about 10,0

,000 wild

ild oysters will ill yi yield ld a pea pearl

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= INSIGHT

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is the measurement, collection, analysis and reporting

  • f data about learners and their contexts, for

purposes of understanding and

  • ptimising learning and the environments in which

it occurs.

Learning Analytics

1st International Conference on Learning Analytics and Knowledge, Banff, Alberta, February 27–March 1, 2011
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…most learning analytics efforts are at the right of the spectrum

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classroom data

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increasing interest in

data

utopian scenario

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increasing interest in

data

utopian scenario

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increasing interest in

data

utopian scenario

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Focus of this talk: the left side of the spectrum

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why is the classroom SPACE so “important”?

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high investment in new learning spaces

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…and it includes all levels, from K-12…

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…to higher education

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SLIDE 21 Hub 1

new learning spaces in libraries are cool too

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… they often mimic workplace spaces

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…inherently blended

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‘traditional’ classrooms are now hybrid too

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…some learning spaces cannot be moved to the virtual world

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learning can be very physical…

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… VERY physical!

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the importance of the whole

“Online Learning doesn’t happen online!

It happens where the learner is. It can’t happen where the learner isn’t”

@PeterGoodyear

https://www.teachingenglish.org.uk
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physical learning analytics at three levels

Classroom Analytics Small-group Collaboration Analytics Analytics on Individual Psychomotor Skills

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bringing sensors to the classroom

Martinez-Maldonado, R., Clayphan, A., Yacef, K. and Kay, J. (2015) MTFeedback: providing notifications to enhance teacher awareness of small group work in the classroom. IEEE Transactions on Learning Technologies, 8(2):
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1) assess classroom activity design 2) orchestration and awareness

The translucent classroom

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architecture

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38 tutorials 3 semesters

School of Business and School of IT

~80 small groups +400 students 4 teachers

authentic deployments

Martinez-Maldonado, R., Clayphan, A., Ackad, C. and Kay, J. (2014) Multi-touch Technology in a Higher Education Classroom: Lessons In-the-wild. Australian Computer-Human Interaction Conference, OZCHI 2014.
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A teacher’s dashboard for classroom orchestration

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SLIDE 36 01:25 out of 05:00 Map Map Send to Wall

Table with wrong propositions

Group in table Blue has 3 wrong propositions. For example: ‘Cognitive walkthrough is a user-method’ ‘UMUX LITE is a no-user-method’

USEFUL NOT USEFUL

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(14 tutorials) There was not enough time for activity 2!!!!

adherence to the class script

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

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SLIDE 39 SOURCE: Fred Jones Tools for Teaching

Teacher’s mobility and proximity

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Instrumenting Learning Spaces

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Possible application in the clinical field

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Possible application in the clinical field

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physical learning analytics at three levels

Classroom Analytics Small-group Collaboration Analytics Analytics on Individual Psychomotor Skills

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Collocated Groupware

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Proximity Analytics in healthcare simulation classrooms

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Learning Analytics meet Patient Manikins

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Apparatus

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Enactment of the tutorial design in two classroom sessions

Analytics about tutors scripting

Martinez-Maldonado, R., Power, T., Hayes, C., Abdipranoto, A., Vo, T., Axisa, C., and Buckingham Shum, S. (2017) Analytics Meet Patient Manikins: Challenges in an Authentic Small-Group Healthcare Simulation
  • Classroom. International Conference on Learning Analytics and Knowledge, LAK 2017
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new installation: indoor localisation, physiological tracking and audio recording

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Initial prototype of a reflection tool

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SLIDE 54 Critical incidents Positioning Actions on the manikin Communication with patient and other nurses Quantitative information of CPR Level of stress

students’ feedback preferences

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second prototype of a reflection tool

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physical learning analytics at three levels

Classroom Analytics Small-group Collaboration Analytics Analytics on Individual Psychomotor Skills

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Motion Analytics for Social Dance Education

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Pervasive Motion Tracking while dancing

ForróTrainer

Santos, A., Tang, L. M., Loke, L., and Martinez-Maldonado, R. (2018) You Are Off The Beat! Is Accelerometer Data Enough for Measuring Dance Rhythm?. International Conference on Movement and Computing, MOCO 2018.
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Automated detection of dancing mistakes ….. and feedback provision

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why is the SPACE so “important”?

because collaboration and learning are cognitive, affective, social and

physical processes?

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= INSIGHT

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Data Storytelling

future directions

Echeverria, V., Martinez-Maldonado, R. Granda, R., Chiluiza, K., Conati, C., and Buckingham Shum, S. (2018) Driving Data Storytelling from Learning Design. International Conference on Learning Analytics and Knowledge, LAK.
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before a after

First step: decluttering a graph

What is data storytelling?

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Data storytelling is about com

  • mmunicating insi

insights

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Most visualisations used in current Learning Analytics deployments are Exploratory rather than Explanatory

therefore, they don’t communicate insights

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Exp xploratory visu

isuali lisation abou

bout student’s performance

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Exp xploratory visu

isuali lisation abou

bout student’s performance

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Exp Explanatory ry vis

isuali lisatio ion abo

bout student’s performance

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Exp Explanatory ry vis

isuali lisatio ion abo

bout student’s performance Decluttering

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Exp Explanatory ry vis

isuali lisatio ion abo

bout student’s performance Prescriptive title Decluttering

?

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Exp Explanatory ry vis

isuali lisatio ion abo

bout student’s performance Prescriptive title Explanatory areas Decluttering

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Exp Explanatory ry vis

isuali lisatio ion abo

bout student’s performance Prescriptive title Selected data points Explanatory areas Decluttering

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Exp Explanatory ry vis

isuali lisatio ion abo

bout student’s performance Prescriptive title Selected data points Explanatory areas Text explaining trends Decluttering

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Exp Explanatory ry vis

isuali lisatio ion abo

bout student’s performance Prescriptive title Selected data points Assessment narratives Explanatory areas Text explaining trends Decluttering

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Explo Exploratory visualis lisati tion Expla Explanatory y visual alis isatio ion Preliminary analysis

Echeverria, V., Martinez-Maldonado, R. Granda, R., Chiluiza, K., Conati, C., and Buckingham Shum, S. (2018) Exploratory versus Explanatory Visual Learning Analytics: Driving Teachers’ Attention through Educational Data
  • Storytelling. Journal of Learning Analytics (under review).
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SLIDE 78 Learning Analytics is 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.

Two items for the future Learning Analytics agenda?

1st International Conference on Learning Analytics and Knowledge, Banff, Alberta, February 27–March 1, 2011

1- Embracing complexity:

collaboration and learning involve cognitive, affective,

social and physical processes? 2- Focusing on human factors:

Reporting, communicating or supporting the generation

  • f insights rather than just reporting data
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THANKS!

@RobertoResearch For more information and literature visit:

bit.ly/utscic

Collaborators and students