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Learning aware environments

Learning is a process through which we constantly adapt to our environment

Knowledge is first an emergent property of our interactions, under “viability” constraints

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Human knowledge has reached a specific autonomy and complexity based on a symbolic technology

3

Representation

Discourse

Learning aware environments

Learning is a process through which we constantly adapt to our environment

Knowledge is first an emergent property of our interactions, under “viability” constraints

12

adaptation means the possibility of a feedback loop:

- Capacity of the milieu to send back a significant feedback- Capacity of the subject to make sense of the feedback, to take the relevant decision, to perform the needed action

Learning aware environments

Learning is a process through which we constantly adapt to our environment

Knowledge is first an emergent property of our interactions, under “viability” constraints

12

A B

C

DS = [(AB+DC)/2]x[(AD+BC)/2]

The stake of adaptation does not mean ultimate truth, but satisfying proscriptive constraints “viability”

However

a representation of a piece of knowledge is not knowledge

To make sense of a representation we have to

bridge the symbolic technology and the actual activity

Learning aware environments

Human knowledge has reached a specific autonomy and complexity based on a symbolic technology

Representation

Discourse

3

Learning aware environments

Human knowledge has reached a specific autonomy and complexity based on a symbolic technology

Representation

Discourse

3

Learning aware environments

Human knowledge has reached a specific autonomy and complexity based on a symbolic technology

Representation

Discourse

3

The case of algebra

Learning aware environments

Human knowledge has reached a specific autonomy and complexity based on a symbolic technology

Representation

Discourse

3

http://aplusix.imag.fr/

The case of algebra

Learning aware environments

http://aplusix.imag.fr/

The case of algebra

Brazil, India, Italy, France(thousands students)

everywhere the evidencethat the interactive environment impact learning dramatically

Still…

Learning aware environments

http://aplusix.imag.fr/

Brazil field study1120 students

Indian’s experiment78 students in groups

Learning aware environments

http://aplusix.imag.fr/

The case of algebra

Brazil, India, Italy, France(thousands students)

everywhere the evidencethat the interactive environment impact learning dramatically

Still…Distributed by publishers in France, Italia, UK, Belgium, Luxembourg, the Netherland

Calculus

Learning aware environments

3

Learning aware environments

Representation

Discourse

“Formal” education and training is the solution found by societies to allow the learning of complex knowledge4

Didactical agents organize situations to stimulateand support learning

5

Learning aware environments

Representation

Discourse

4

Didactical agents organize situations to stimulateand support learning

5

“Formal” education and training is the social solution to allow the learning of complex knowledge

Learning aware environments

4

Didactical agents organize situations to stimulateand support learning

5

“Formal” education and training is the social solution to allow the learning of complex knowledge

Learning aware environments

4

Didactical agents organize situations to stimulateand support learning

5

“Formal” education and training is the social solution to allow the learning of complex knowledge

The more you teach,the less relevant might be the learning

The less you teach,the more contingent might be the learning

The tension between two types of feedback epistemological and didactical

the epistemological gap created between the object of teaching and the ultimate object of learning

Critical problem

Learning aware environmentsDigital technology allows the creation of highly interactive knowledge representation and “realistic” contexts6

Didactical agents are needed to ensure the convergence of learning and the devolution of the situation

7

actionfeedback

Learning aware environments

4

Didactical agents organize situations to stimulateand support learning

5

“Formal” education and training is the social solution to allow the learning of complex knowledge

The case of the ilio-sacral screw fixation

Teleos

Learning aware environmentsDigital technology allows the creation of highly interactive knowledge representation and “realistic” contexts6

Didactical agents are needed to ensure the convergence of learning and the devolution of the situation

7

Teleos

Learning aware environmentsDigital technology allows the creation of highly interactive knowledge representation and “realistic” contexts6

Didactical agents are needed to ensure the convergence of learning and the devolution of the situation

7

Problem at stake

To perceiveTo reason

To act

RepresentationAction/feedback

Control

As-if-explicit

As-if-tangible

Mostly implicit

Tangible

Semiotic registerActions, behaviorsNature of the controls

Teleos

Learning aware environmentsDigital technology allows the creation of highly interactive knowledge representation and “realistic” contexts6

Problems

Actions

Controls

Didactical variables

Teleos

Learning aware environmentsDigital technology allows the creation of highly interactive knowledge representation and “realistic” contexts6

Problems

Actions

Controls

(MJV(e), MJIV(e), PMJ(e))Used valid, used invalid, not used

Teleos

Learning aware environmentsDigital technology allows the creation of highly interactive knowledge representation and “realistic” contexts6

Didactical agents are needed to ensure the convergence of learning and the devolution of the situation

7

Teleos

(MJV(e), MJIV(e), PMJ(e))Used valid, used invalid, not used

Learning aware environments

Didactical agents are needed to ensure the convergence of learning and the devolution of the situation

7

Learning aware environments

Didactical agents are needed to ensure the convergence of learning and the devolution of the situation

7

Learning aware environments…

8… require an understanding of the learner/milieu system in order to derive the conditions for learning

9Quality of a didactical systems depends on its capacity to deliver both epistemic feedback &didactical feedback

A team…

Models and technologies for human learning

MeTAH(Grenoble)

Laboratoire d’informatique de Grenoble

Chair of MeTAH Muriel Ney

Project presentedAplusixJean François NicaudTéléosVanda LuengoLucile Vadcard

PresenterNicolas Balacheff

Learning aware environments…

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