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Page 1: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute

Designing Web-Based Adaptive Support for Debate

with Dialogue Modelling

John Cook

Learning Technology Research Institute

www.unl.ac.uk/ltri/

Page 2: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute

Structure of talk

Introduction

Approach to designing computer-based pedagogical

agents

Dialogue analysis and modelling

Future work

Page 3: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute

e

internet

intranet

browser

Page 4: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute

Introduction

Agent is needed when students are preparing to

engage in an online debate

Individual contributions online debate worth 40%

Defending open-ended evaluation criteria using

Collabra

Addressing implementation challenges in real-world

situations

Page 5: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute
Page 6: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute

Approach to designing computer-based pedagogical

agents Limitations in the available methods for building models of open-

ended debates, our approach:

Theoretical framework

Analysis techniques of interaction data

Computational model, i.e. system design.

Computer implementation, e.g. MetaMuse

Page 7: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute
Page 8: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute

Dialogue analysis and modelling

Analysing the interaction data for occurrences of

categories of goals drawn from our theoretical

framework

Patterns of goals will be modelled as state transition

networks

Page 9: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute

2 3 4 6TA: motivation encouragement

8

TA: Task

7

LA: critical clarification

TA: critical probing TA: Task

TA: critical give reasons

TA: motivation encouragement

5

TA: motivation encouragement

TA: motivation encouragement LA: critical

clarification

TA: Task

TA: critical give reasons

Page 10: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute

Dialogues from 1999 put online as a vicarious

learning resource for 2000 students

Used WebCT this year

Approximately 1500 postings in 10 day debate

4 tutors and over 100 students

Page 11: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute
Page 12: Designing Web-Based Adaptive Support for Debate with Dialogue Modelling John Cook Learning Technology Research Institute

Future work

Analyse 2000 debate to build debating skills agent

Simulate some of the debates to further assist

vicarious learning


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