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DREW: Dialogical Reasoning Educational WebtoolRainbow: analytical framework for analysis of debateTatiana (Trace Analysis Tool for Interaction Analysts)
CITE Seminar: Room 101, Runme Shaw BuildingHong Kong University, March 2009
Dr. Kristine Lund, CNRS, Vice director ICAR laboratory(Interactions, Corpus, Apprentissage, Représentations)
University of Lyon [email protected]
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• The European project SCALE Learning to argue and arguing to learn Theory construction
• DREW and Rainbow Theoretical underpinnings
• The European project LEAD Face-to-face networked learning in the classroom with CoFFEE Theory construction
• Using Tatiana to replay and analyze with Rainbow DREW and CoFFEE interactions
• Using Tatiana to analyze the dynamics of DREW and CoFFEE interactions• Using Tatiana to compare indicators stemming from analytical frameworks
across theoretical perspectives• Summary
Overview
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SCALEInternet-based Intelligent Tool to
Support Collaborative Argumentation-Based LEarning
in Secondary Schools
IST-1999-10664IST-1999-10664mars 2001 - février 2004mars 2001 - février 2004
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PartnersFinland
University of Jyväskylä, Department of Education
France
UMR 5191 ICAR, CNRS & Université Lumière Lyon 2
Département RIM, École des Mines de St. Étienne
Great Britain (coordinator)
Management School, Royal Holloway, University of London
Hungary
SZAMALK TCC, Budapest
Pays Bas
Department of Educational Sciences, Utrecht University
Portugal
Departamento de Didáctica e Tecnologia Educativa, Universidade de Aveiro
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General objective
Elaborate computer-supported pedagogical tools that favor…
collaborative learning founded on argumentative activity…
in secondary schools in Europe
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Pedagogical objective
Argue to learn argumentative
knowledgeLearn to argue
Argue to learn
Broaden and deepen knowledge of the space of debate
J. Andriessen, M.J. Baker & D. Suthers (Eds.) 2003
Arguing to Learn: Confronting Cognitions in Computer-Supported Collaborative Learning environments
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Theory construction during SCALE
•Multi-representational pragma-dialectics Baker (2003)…
• Theory will support pedagogical objective• Tool design (DREW) will be based on theory• Analytical method (Rainbow) will arise from theory
and illustrate progress towards pedagogical objective
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Broadening and deepening ones knowledge of the space of debate
• The space of debate In relation to a question relevant for society (ex. GMOs) theses, arguments, values, viewpoints, social actors
– Students were taught argumentation– Lessons were designed in collaboration with the teacher
• Broaden Gain knowledge of more arguments (+/—), variety of viewpoints,
viewpoints more balanced, coherent
•Deepen Negotiate the meaning of underlying notions within discussion Capable of arguing about arguments
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Back to original theories on argumentation
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Argumentation as rhetoric, dialectic or demonstration •Rhetoric
Focuses on the goal to which argumentation is oriented (persuasion)– Perelman & Olbrechts-Tyteca (1958)
•Dialectic Focuses on the process by which argumentation takes place Regulated exchange, a dialogue game (winner, loser)
– Hamblin, 1971; Barth & Krabbe, 1982
•Demonstration Focuses on the relation between arguments, viewed as logical
inference– Geach (1976)
van Eemeren, Grootendorst & Henkemans, 1996, pp. 29-50
for human interactive argumentation
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Human interactive argumentation
•Not just about giving reasons People also verify if reasons do not contradict each other
•Can argue without hope of persuasion Show point of view is worth considering
• Argumentation is not just mathimatico-logical Everyday soundness is not the same as logical validity
– All organisms with wings can fly.– Penguins have wings.– Therefore, penguins can fly.
Since the first premise is actually false, the argument, though valid, is not sound.
• Views and knowledge evolve during argumentation This is the learning !
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Extended view taking into account social context
•Why do people argue ? Are they motivated ?
•What does arguing change for them ? Are they stakeholders ?
•What are the types of reasoning they engage in ? Logical, use analogies and every-day experience
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What kinds of argumentation ?• Phenomenon
Monological or dialogical discourse
•Referent Factual information, personal,
commonly held judgments, ethical principles
•Reasoning Analogies from everyday life
•Media Computational : text editors,
argumentation diagrams, chat– Personal / collective
•ActivitiesAnalysis, writing, reading, construction, communication
•SituationArgumentative norms transposed from everyday life (debate not common in class)
•GoalsTeacher / researcher viewpoint - widen and deepen the space of debateStudent viewpoint - my teacher ? My partner ?
–Inquiry, information-seeking, quarrel, debate, persuasion, explanation
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Collaborative Learning research
•Co-construction of knowledge “interactions paradigm” (Dillenbourg, Baker, Blaye & O’Malley, 1996)
– What types of interactions between students favor learning?
• Socio-cognitive conflict (Doise & Mugny, 1981) Importance of resolving the conflict (Mevarech & Light, 1992)
– Interactive learning mechanisms & argumentation (Baker, 1996,1999)• Nuanced opinion, differentiate similar conceptual notions• Rendering explicit, self/other explanation and reflection lead to restructuring
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Educational technology research
• The computer as… a collective memory of what has been constructed ; As the focusing point of dialogue and action ; As a means of representing elements in a discussion ;
– Translation between multiple representations (e.g. text <-> diagram can be a factor in learning) (Ainsworth, 1999; Schnotz, 2001)
As a medium for communication
De Vries, E., Lund, K. & Baker, M.J. (2002). Computer-mediated epistemic dialogue: Explanation and argumentation as vehicles for understanding scientific notions. The Journal of the Learning Sciences, 11(1), 63—103.
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Argumentation Theory
Collaborative Learning Research
Educational Technology Research
Theoretical and pedagogical
foundations of SCALE
multi-representational pragma-dialectics
Collaborative argumentative
interaction, as means of deepening and
widening argumentative knowledge
Synchronous CSCL, as collective memory,
means of representing and medium of interaction
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What does such theory mean for DREW (the tool) ?
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DREW (Dialogical Reasoning Educational Webtool)
Authorize GMOs
+
Sterile seeds make farmers dependant on
big seed companies
—
World famine problem solved if we have GMOs
• Social-cognitive conflict Doise & Mugny, 1981 Awareness tool in DREW
– Anne : blue shows Anne has put her opinion
– Bill : red shows Bill has put his
• The process by which verbal conflict is cooperatively resolved
Specific forms of argumentative interaction
Learning
– Anne : blue– Bill : red
Thesis
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DREW (Dialogical Reasoning Educational Webtool)
object, representation of a debateThe debate happens around a diagram (distancing)(cf. Belvedere, Suthers et al.)
Medium of debateThe debate happens through the diagram(personal implication)
Authorize GMOs
+
Sterile seeds make farmers dependant on
big seed companies
—World famine
problem solved if we have GMOs
Authorize GMOs
+
Sterile seeds make farmers dependant on
big seed companies
—
World famine problem solved if we have GMOs
– Anne : blue– Bill : red
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DREW (Dialogical Reasoning Educational Webtool)
agree
disagree
+ white board, text editor, chat, 3-D annotation tool, etc.)
1.
2.
GMOsqsdf qsdfqsd qsd
+/—
3. for, against
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DREW (Dialogical Reasoning Educational Webtool)
Authorize GMOs
+
Sterile seeds make farmers dependant on
big seed companies
—
World famine problem solved if we have GMOs
•Constructive argumentation is facilitated
if the pedagogical scenario makes sense for students ;
Argumentation is dialogical ; Students can see where to focus
their debate ;
Learning
Ok, this statement is true but…
I think it does not make a difference for world famine
–The distinction between argument and opinion is embodied in the tool
–No color shows that no opinion yet stated ;
–The difference between having an opinion on a particular argument and having an opinion on whether that argument is in favor or against a thesis is embodied in the tool.
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So, what are we analyzing and why and how will we do it?
• Nature of interactional data Recorded computer-mediated human activity trace data
• Multiple semiotic representations Diagrams, language
• Interactive context Broadening and deepening occur within debate
• Descriptive vs. normative Rainbow is descriptive (identifies frequencies of functional categories), can also
thus compare against desired normative outcome
• Static code and count vs. dynamic process analysis Categories are NOT assigned outside of their interactive context Specific sequences can be identified for more detailed dynamic analysis (Tatiana)
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Why ?
• Correlate characteristics of student interactions with differences in learning outcomes across experimental groups
Categories stem from a combination of speech act and problem-solving theories Categories are discrete units (code and count), inter-coder reliability used (Tatiana)
• Interaction is considered a process of interactive meaning making, not something that produces learning “effects”
If discursive phenomena (explanation, argumentation) are processes, there is a difficulty in ascribing discrete analytical categories, because these phenomena underlie extended interaction sequences
– Tatiana…
• Inform design of interactive technologies Problems of coordination or mutual awareness brought to light
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Rainbow • To what extent did students engage in argumentative activities ?
Pedagogical goal attained ?
– Broadening and deepening
However, such activities need to be understood in the broader framework of social and task-focused interaction
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Getting to argumentation -1
• Prescribed by the teacher
On topic
• Vion, 1992 — interactive space
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Getting to argumentation -2• Focused on the “task” (cf.
Grosz, 1981) or “problem” (e.g., producing mathematical solutions ; manipulating an engine in order to repair it)
vs. focused on different aspects of managing collaboration in achieving that task
Social talk Types of interaction
management (Bunt 1989)
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Getting to argumentation -3 • The task is not to coordinate outside of action, instead debate is inherent to dialogue (chat)
Task is both the medium in which the task is carried out (by verbal expression of argumentative moves) and the medium in which this cooperative task is regulated
– But watch chat / graph usages
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Getting to argumentation -4 Argumentation is a means of resolving conflicts of avowed opinions (Barthe & Krabbe, 1982 ; Baker, 1999, 2003)
Opinions Argumentations
– Theses, arguments, counter-arguments, concessions
Broadening and deepening – Argumentation theory —
Perelman and Olbrechts-Tyteca 1958; Walton 1989,
– Argumentation & K co-construction — Baker 1999; Leitao 2000)
– Argumentation & decision making — Lund, Prudhomme & Cassier 2007
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How ? Chat analysis with Rainbow : possible
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Rainbow analysis of chat - quantitative results
Rainbow / Chat - Graph
1,970
23,1025,55
19,90
11,55
17,94
0
10
20
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1. Off-Task
2. Social Relation
3. Interaction Management
4. Task Management
5. Attitudes and opinions6. (Counter-) Arguments7. Explore and Deepen
Relate categories to pedagogical scenario, tool use and learning outcomes / further explore 5, 6 and 7
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A closer look at Rainbow Deepening
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DIAGRAM analysis with Rainbow : more difficult
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Marks her opinion against some argument(which?)
Names an argument :Tasteless product with less energetic value
Marks her opinion for some argument (which?)
Moves the box of some argument (which?)
Marks her opinion for some argument (ok, the one she moved - it has same number)
Renames the argument :Tasteless productMoves the box of some
argument (which?)
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The solution is Tatiana ! (especially with Chat and Diagram together)
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lead2learning.org
FP6-2004-IST-42006 — 2009
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LEAD partners (P for pedagogical T for technical)
• P Utrecht University, Research Centre Learning in Interaction / Centre for the development of educational appliances (CLU) - coordinator
• P Centre National de la Recherche Scientifique, SHS (MoDyCo)
• T Ecole Nationale Superieure des Mines, Association pour la Recherche et le Développement des Méthodes et Processus Industriels
• P University of Salerno, Dipartimento di Scienze dell’Educazione
• T University of Salerno, Dipartimento di Informatica e Applicazioni
• P University of Nottingham, Learning Sciences Research Institute
• M ICATT interactive media, Amsterdam
Two associated partners
P ICAR Research Laboratory, CNRS, University of Lyon
P Tilburg University | Faculty of Arts | Department of Communication and Cognition
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• Scientific objectives To develop a conceptual model of technology-enhanced learning processes
during face-to-face problem-solving discussions. To define pedagogical scenarios that guide effective problem solving
discussions in the classroom. To implement and evaluate the pedagogical scenarios in real-life educational
settings.
• Technical objectives To develop a text-based, electronic meeting system for collaborative problem
solving. To improve an existing shared workspace system (DREW) so that it suits
collaborative problem solving --> CoFFEE To integrate the two systems. To define, develop and evaluate prototypes for active support. (TATIANA)
LEAD objectives
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Problem descriptions
Technology and scenarios
Practice real-life and semi-experimental settings
Research findings
Conceptual models
Problem (analysis)
ImplementationResearch
Abstractions
Design (patterns)
Theory-driven design
User-driven design
Wouter van Diggelen, 2008
Theory construction during LEAD
39http://www.coffee-soft.org/
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Replaying DREW and CoFFEE interactions with Tatiana
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http://lead.emse.fr/Download/tatiana.html
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Movie of DREW replay
• A DREW replay is embedded within Tatiana and synchronized with visualizations and analyses = replayables (cf. CSCL 2009 paper to appear Dyke, Lund, Girardot)
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Log Data (1)
Writing units (2)
Transcription (3)
Tool replayer (5)
Video (6)
Visualisation (4)
Highlights are synchronised
Remotecontrol (7)
TranscriptionWriting units
Reformulation of talk & writing
Tatiana sample screen shot
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Zooming in on static analyses (Rainbow) in order to perform analyses on dynamics of
chat-diagram interaction
AliceSally
Sally’s opinions ChatAlice’s opinions Chat
Alice’s opinions GraphSally’s opinions Graph
A
AS
S
A
A
S
S
Interaction
continuestimeline
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• Replay the whole interaction, visualize it (zoom in on opinions)• Select and describe sequences pertinent for opinion change
Opening of interaction
Chat<Alice> SALUT
< Alice> TU MAINTRISE ?
<Sally> oui ca va<Sally> on se lance?< Alice> ok
< Alice> moi je suis contre les ogm
< Sally > moi je suis pas contre et pas pour non plus
Graph
OGM
Alice : connects to the graphSally : connects to the graphAlice : disconnects
Alice : connects to the graph again
Sally : marks her opinion in favor of GMOs
OGM
Sally :
1
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2
6
5
7
8
10 9OGM poison in foodAlice :
Dynamics of chat and diagram - 1
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•Alice flounders a bit with the graph
•Sally is more sure of her actions However, she marks her opinion to be in favor of GMOs in
the graph but in the chat says she is “neither for nor against”.
Opening sequence
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Dynamics of chat and diagram -2
• A middle sequence
Chat<Sally> (turn°127) tu penses que les OGM résistent aux antibiotiques ?<Alice> non
< Alice> I mean yes< Sally > ok
Graph
Alice :
Sally : moves this boxAlice : (turn°77) marks her opinion against her own argument…Alice : moves this arrow twiceSally : moves Alice’s humain=cobaye box
2
1
3
4
Résistance aux antibiotiques
Sally : marks her opinion as being against this boxthen moves Alice’s arrowSally : takes off her opinion from humain=cobaye, then puts it back on, then checks Alice’s opinion
Résistance aux antibiotiques
5 6
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• Alice marks her opinion as being against her own argument Devil’s advocate ? (unusual)
• Sally checks up on whether Alice’s marked opinion on her own argument really reflects what Alice thinks Sally does this while working on another part of the graph Alice is flustered, her incertitude regarding this argument is perhaps
shown
A middle sequence
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The interchange of chat and graph illustrate the “positioning game” between Sally and Alice
Sally is more sure of herself than Alice; Sally is the “good” student
Alice has more trouble with the graph: Sally is an expert multi-tasker
Sally plays the person who checks things and goads Alice, exposing her
Alice does not want to admit that Sally convinced her
Analysis of the whole interaction shows a particular social dynamics --> learning?
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Relate two different static coding schemes with Tatiana
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KP Lab Case Study (1)
Andriessen, Lund & Dyke (in preparation)
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Time
Level 1 2 3 or 4
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Discussion 1
Discussion 2
Discussion 3
Conceptual focusing broadening and deepening
over time : urban design project
Metro is expensive, more
expensive
But it has the advantage of
being underground
Let’s have a high school
And a university
In Maarssen there is a road, and in principle
you could use it with a car, but in fact it is a
bicycle track
We can do that as well, but cars can come there, allowed for
parents
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KP Lab Case Study (2)
Andriessen, Lund & Dyke (in preparation)
Dialogical tension and relaxation between teacher and students :
urban design project
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Discussion 1
Discussion 2
Discussion 3
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Teacher
Teacher
Teacher
S1S2S3
S1S2S3
S1S2S3
Time
Time
Time
?
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KP Lab Case Study (3)
Andriessen, Lund & Dyke (in preparation)
Is conceptual deepening and broadening correlated with a good mixture of dialogical
tension and relaxation ?
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Discussion 3 Teacher
S1S2S3
Time
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General summary Theory construction in SCALE and LEAD
– Related to objectives (pedagogical, research, technical) and thus to tools (DREW, CoFFEE)
Tatiana can replay the interactions produced by DREW, CoFFEE and other collaborative software thus facilitating analysis
Tatiana allows for analysis of the dynamics of an interaction– Positioning game between Alice and Sally
Tatiana allows for the comparison of indicators stemming from two different coding and counting frameworks
– Tension and relaxation vs. conceptual focusing– How is scaffolding in Knowledge Building related to deepening
in argumentation ? (choose facets of the interaction to visualize)