Modelling And Visualising Traces For Reflexivity In Synchronous Collaborative Systems Presentation

Modelling and visualising traces for reflexivity insynchronous collaborative systems

Damien CLAUZEL, Karim SEHABA, Yannick PRIÉ

Laboratoire d’InfoRmatique en Image et Systèmes d’information (LIRIS)Université Lyon 1, LIRIS UMR5205, F-69622 Villeurbanne, France

https://liris.CNRS.fr/

InCos, november 2009

mailto:[email protected]



https://liris.CNRS.fr/

Context Reflexivity and traces Modelled traces Our trace models Prototypes in progress Conclusion and perspectives

Outline

1 Context

2 Reflexivity and traces

3 Modelled traces

4 Our trace models

5 Prototypes in progress

6 Conclusion and perspectives

Damien CLAUZEL, Karim SEHABA, Yannick PRIÉ Model. and visu. traces for reflex. in sync. coll. act. 2 / 25





Context

Online synchronous collaborative learning is characterized bysize: small closed group

activity’s structure: teachers specify the content

collaboration: strong human exchanges

time: synchronicity






Context

Our goals areto support group activity

to support individual reflexivity

to support group reflexivity

to describe human activity on computer

to create a memory of past interactions






Metacognition for learning

Metacognition is important in learning, and needs reflexivity[Worrall and Bell, 2007]

Metacognition [Flavell, 1976][is] one’s knowledge concerning one’s own cognitive processes oranything related to them. . . For example, I am engaging inmetacognition if I notice that I am having more trouble learning Athan B; if it strikes me that I should double check C before acceptingit as fact.






Why reflexivity?

Reflexivity of activity allows:

metacognition

awareness

group synchronisation

We identify three levels of reflexivity: individual, extended andgroup.

Let’s have a look at them!






Why reflexivity?

Reflexivity of activity allows:

metacognition

awareness

group synchronisation

We identify three levels of reflexivity: individual, extended andgroup.

Let’s have a look at them!






Basic synchronous collaborative activity

Situation of synchronous collaboration: 3 users working together






Different levels of reflexivity

Individual reflexivity: me, watching myself







Extended reflexivity: me, watching you and myself together







Group reflexivity: me, watching us







Conclusion : a need to filter and to share reflexivity within a group:

on an individual base

on a collective base

Our approach : we use modelled traces for working with reflexivity






What is a modelled trace?

Modelled traceWe call “modelled trace” a collection of observations, temporallysituated, associated to an observation model.

⇒ for short : a modelled trace is a formal representation of user’sinteractions

A modelled trace can be processed, transformed, shared andvisualised.






Modelled trace






Single user and his trace based management system

Specific trace

Complete trace

My dedicated activity trace

M1

M2

M3

Collecting (from app)

τ- visualisation- sharing- archiving- post-processing






Collaboration with traces

Internet

OthersApplications

OthersApplications

OthersApplications Tr

aces

Trac

esTr

aces

Trace-based Application

OthersApplications

OthersApplications

OthersApplications Tr

aces

Trac

esTr

aces


OthersApplications

OthersApplications

OthersApplicationsTr

aces

Trac

esTr

aces


user 1

user 2

user 3

SynchronousApplication








Reflexivity improved by traces sharing

Internet

user 3

Individual and collective trace

vizualisation and sharing


TBMSOthers

ApplicationsOthers

ApplicationsOthers

Applicationsuser

My private trace

User 2 shared trace

User 1 shared trace

User - Trace base

Group shared trace

Me within the group trace

My dedicated activity trace

My shared trace

M1

M2

M2

M3

M2

M4

M5

Collecting (from app)

Sharing (to tbms)

Collecting (from tbms)

Collecting (from tbms)

T1

T2

T4

T3

T5

T7

T6

τ1

τ2

τ4

τ3






Generic model of synchronous collaborative activity

Generic collaborative

activity's obsel

Common system obsel

Interaction modes' obsel

User's obsel Clipboard's obsel

videoconference obsel

screen sharing obsel

Text chat obsel

whiteboard obsel

shared web browser obsel

Collaborative text editor obsel

Copy into thesystem's clipboard

Paste into thesystem's clipboard






Part of the specific model for text chat activity

user ID

beginning of user presence

Text chat obsel

Generic collaborative

activity's obsel

Interaction modes' obsel

Common system obsel

User's obsel

Relation

Specialisation

is sent by

is activated by

is a composition of

a chat message on

finishes

a chat

is re

ceiv

ed o

nsending a chat

message

content

receiving a chat message

content

chat message composition

channel

chat channel activation

chat channel closure

is a

val

idat

ion

ofa

chat

mes

sage

of

is se

nt by






Zoom into the text chat model

user ID

beginning of user presence

Text chat obsel

is activated by

is a

com

posit

ion o

f

a ch

at m

essa

ge o

n

finishesa chat channel

chat channel activationchat channel

closure

is sent by






Concrete example: Alice’s trace in a group activity

beginning of user presence (Alice)

beginning of user presence (Bob)

copy into thesystem clipboard

paste from thesystem clipboard

beginning of user presence (Charlie)end of user presence

terminates th session of

is a paste of

is used in

obselrelation

chat channelactivation

chat messagecomposition

receiving achat message

chat channelclosure

is a va

lidation

of chat m

essage

finishes a chat

is rec

eived

on

is sent by

is sent by

is a composition

of chat message on

sending achat message

activating whiteboardcreating text closing whiteboard

terminates a whiteboard useis a writing on whiteboard

activating sharedweb browser

changing pageis made in

finishes

shared webbrowser closure






Technical works on 3 axes

Development of several software, covering all aspects:

1. collecting traces : instrumented applications

2. processing traces : traces management system

3. using traces : interactive visualisation of traces






Instrumented chat client producing modelled traces






User feedback






Conclusion and perspectives

Theoretical work:applications models: genericity, automatic generationconception: theory of modelled trace visualisationvalidation: evaluating benefits in learning with our reflectivesystem

Technical work:trace visualisation: software for interactive visualisation oftracestrace manipulation: sharing, processingtraces management system: extending core functionalities






References

Flavell, J. (1976).Metacognitive aspects of problem solving, chapter 12, pages231–236.Routledge, Pittsburg.

Worrall, L. and Bell, F. (2007).Metacognition and Lifelong E-learning: a contextual and cyclicalprocess.E-Learning, 4:161.

And of course :Google: “trace modélisée interaction”our research team: https://liris.CNRS.fr/silex (French andEnglish)


https://liris.CNRS.fr/silex




Technology

Modelling And Visualising Traces For Reflexivity In Synchronous Collaborative Systems Presentation