2013 07 05 (uc3m) lasi emadrid cdk uc3m introduccion

LASI-Spain eMadridCarlos Delgado Kloos

Univ. Carlos III de Madrid, www.it.uc3m.es

Red eMadrid, www.emadridnet.org

LASI

SOLAR: Society for Learning Analytics Research

Learning Analytics Summer InstituteStanford U, 1-5 July 2013LASI-local events

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LASI-local

Local events around the world:Aalborg (.dk)Amsterdam (.nl)Boston (.us)Edinburgh (.uk)Granada (.es)Hong Kong (.hk)Lyon (.fr)Madrid (.es)Pretoria (.za)

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LASI-Spain eMadrid (ES)

Organized by eMadrid at UC3MMorning Session:

Stanford U presentations from previous days

Afternoon Session:Local presentations at UC3M

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LASI-Spain eMadrid (ES)

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LASI-Spain eMadrid (ES)

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What are they thinking about?

How boring!

I don't get anything!

How cool!

Are they following?

We'll find out at the exam

Fast Feedback Loop

Waiting until the exam is too late

Fast feedback cycle important for learning

Remediation when it most effective

Probe information during the learning process

Adapt teaching to learning

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(Big) Data

Highernumber of people (MOOCs)number of variables (pervasive technologies)number of time points

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Learning Interactionsin the Physical World

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prof student student

colab

lecture

tutor

read practice

exam practiceassess

Analytics

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No Data

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studentread

Data

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studentread

data

Data

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studentread

data

Learning Interactionsin the Digital World

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prof student student

colab

read

lecture

practice

tutor

exam practiceassess

Analytics

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data

info

action

visualization

Data

What kind?ClicksTimesUsers

ActivityAdvanceAccomplishment of exercisesUse of hintsSocial behaviour

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Information

What kind?Present status

Prediction aboutthe future

Plans for changingthe future

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Information

For whom? Learner (pilot) Teacher (air traffic controller)

Instructional designer Curriculum planner Institution Country authority Employer Tool developer

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Processing

Classical test theory

Item response theory

Aggregation

Averages

Classifiers

Markov models

…

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Visualization

a

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Action

Repetition

Reinforcement

Remediation

Rescheduling

Social interaction

…

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Issues

Privacy

Causality

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!

Privacy

By capturing data from persons,one has to be very careful withhow and what data is captured,and how it is used, etc.

The correct legal measureshave to be taken

Who owns the data?When it is raw?When it is processed?

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Causality

The brain is a big unknown

We know very little abouthow learning works

By correlating a few data,we are just scratching the surface

Learning Analytics is no silver bullet

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Conclusion

Turn the learning process into a controlled process,as many other processes (business, health, web)

Relevant are speed of feedback and amount of data

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Talks (be punctual!)

15:15-15:45: Á. Serrano (UCM): "Game analyticsand educational videogames: Can we know howmany students learn while playing videogames? "

15:45-16:15: R. Crespo, I. Gutiérrez (UC3M):"Learning analytics support for just-in-time teaching"

16:15-16:45: P. Muñoz Merino (UC3M): "Evaluationin e-learning platforms using learning analytics"

16:45-17:00: Break

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Talks (be punctual!)

17:00-17:30: G. Robles, J. González Barahona (URJC): "Lessons learned from ten years of software analytics that could be helpful for learning analytics"

17:30-18:00: J. García Zubía (U Deusto):"Learning analytics and remote experimentation:First experiences with Weblab-Deusto"

18:00-18:45: Live from Stanford U:Plenary: "Chief Data Scientists"Chair: Dragan Gasevic (Athabasca U)Speaker: Piotr Mitros (edX)

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