Education as a computational science Pierre Dillenbourg, EPFL EPFL - - PowerPoint PPT Presentation

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Education as a computational science Pierre Dillenbourg, EPFL EPFL - - PowerPoint PPT Presentation

Education as a computational science Pierre Dillenbourg, EPFL EPFL MOOCS: 1908876 Hype is over but MOOCs continue to grow . 1815471 Registrations 77 Courses Online 97510 Passed 35 Courses In Preparation N=1728 0.4


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Education as a computational science

Pierre Dillenbourg, EPFL

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EPFL MOOCS: 1’908’876

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1’815’471 Registrations 97‘510 Passed 77 Courses Online 35 Courses In Preparation

Hype is over but MOOCs continue to grow ….

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  • N=5295

N=5666 N=938 N=951 N=1728 N=1334 −0.2 0.0 0.2 0.4 NONE VIEW ACT

MOOC Usage EPFL Grade

Baccalaureat Level

  • HI

LO

Patrick Jermann, Francisco Pinto (EPFL CEDE)

EPFL Freshmen

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Education Technologies Learning Analytics Teaching CS

CS ED

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e-learning ?????????

Pierre Dillenbourg, EPFL

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Swarm Cellulo (Ayberk Ozgur, Wafa Johal, P. DIllenbourg)

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Education Technologies

CS ED

Swarm Interactions

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Johal, Lemaignan, Asselborn, Jacq, Billard, Paiva, Dillenbourg

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Education Technologies

CS ED

Teachable Agents Swarm Interactions

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Education Technologies

Learning Analytics

Teaching CS

CS ED

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Computational Models

Pierre Dillenbourg, EPFL

Education Research

learning Analytics

predict, classify, decide, ‘explain’ SVM, KMC, DNN, RNN, 2AM, POMDP

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Kt Bt Observable State Hidden State Kt+1 Bt+1 p(Kt+1 | Bt+1, Kt )

Bayesian Knowledge Tracing

p(Kt = ‘skill-x’ | Bt= ‘correct answer’)= 1 - Guess p(Kt = ‘skill-X’ | Bt= ‘incorrect answer’)= 0 + Slip

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Computational Models

Pierre Dillenbourg, EPFL

Education Research

Improve the management

  • f education systems
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What about modeling learning

  • utsider technology-based environments ?
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Pierre Dillenbourg, EPFL

Campus Analytics

pre-requisites p(Succeed (CS243) | Failed (CS201)) carreer p(Salary > T | {INF201, MA203,INF233,..}) recommender 78% of those who select CS243 also selected CS411

…….

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how deep ?

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Computational Models

Pierre Dillenbourg, EPFL

Education Research

Relevant Behavioral Abstractions (Features)

Education needs explainable AI

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gaze(a)=ƒ(gaze(b))

Relevant Behavioral Abstractions (Features)

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Gaze Recurrence

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gaze(listener)=ƒ(gaze(speaker))

Relevant Behavioral Abstractions

Feature: Gaze recurrence Context: Collaborative learning

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gaze (learner) = ƒ (reference (teacher))

Feature: Withmeness Context: Lecturing

Relevant Behavioral Abstractions

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Sarah d’Angelo, Kshitij Sharma, Darren Gergle, Pierre Dillenbourg (2016)

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Do finger-based or gaze-based deictics enhance learning ?

Sarah d’Angelo, Kshitij Sharma, Darren Gergle, Pierre Dillenbourg (2016)

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gaze (learner) = ƒ (gaze (teacher))

Relevant Behavioral Abstractions

Feature: ‘Withmeness’ Context: Lecturing

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Kt Bt

Modeling in the wild ?

Raca, Tormey & Dillenbourg

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gaze (learner) = ƒ (location (teacher))

Feature: Head rotations Context: Lecturing

Relevant Behavioral Abstractions

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  • L. Prieto, K. Sharma, L. Kidzinsky, P. Dillenbourg

activity (teacher) = ƒ (gaze (teacher))

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Computational Models

Pierre Dillenbourg, EPFL

Education Research

Education brings nice challenges (1) Explainability

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Education brings nice challenges (2) Cold Start

Integrate expert’s knowledge Use simulation with synthetic students

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A B

Learner 1 Learner 2 Learner 3 Learner 4 Learner 5 Learner 6 Learner 7 Learner 8 Learner 9

A A A A ?

Education brings nice challenges (3) Exploration Exploitation Tradeoff

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Explainable AI Education Context Cold Start Exploration/ Exploitation Trade-OFF Cohorte Simulations

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Multi-Armed Bandit (MAB) for Exploration-Exploitation

➢ Selecting learning activities ➢ LFA model ➢ Tested with simulated students ➢ Will present and discuss this work at ECTEL in Septembre

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Louis Faucon, Pierre Dillenbourg, EPFL

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Education is a computational science

EPFL Center for Learning Sciences

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Happy Numbers GRAASP SpeakUP

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Co Collider Co Compu. u. Th Thinkin ing NC NCCR MO MOOCs

EPFL Digital Education Ecosystem

La Lake of Pi Piaget

Center Learning Sciences

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Education Psychology Sociology Ethnology Anthropology Economics Political Sciences Linguistics History Demography Management …..

Social Sciences

This is not one science !!!

Humanities

Modern Languages Old Language Littérature Philosophy Religion Art Musicology Museology History ….

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Education Docimology Didactics Instructional Psychology Instructional Design Learning Technologies History of Education Sociology of Education Economy of Education Special Education Psychology Cognitive psychology Social psychology Psychometry Clinical psychology Differential Psychology Developmental Psychology Sociology

And….