Abstract
We present a novel method to analyse speaker alignment in second language practice dialogue. Our method represents utterances as Dialogue Acts and applies Epistemic Network Analysis to their use. ENA makes convergence between speakers visible, and enables us to confirm hypotheses that both initial similarity and final convergence increase with student ability; and that Dialogue Act use changes with ability, and over the course of an interaction. Our results can inform personalised automatic tutoring tools as well as formative assessment and feedback.
Original language | English |
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Title of host publication | Artificial Intelligence in Education |
Subtitle of host publication | 20th International Conference, AIED 2019 Chicago, IL, USA, June 25–29, 2019 Proceedings, Part II |
Editors | Seiji Isotani, Eva Millán, Amy Ogan, Peter Hastings, Bruce McLaren, Rose Luckin |
Place of Publication | Cham Switzerland |
Publisher | Springer |
Pages | 257-262 |
Number of pages | 5 |
ISBN (Electronic) | 9783030232078 |
ISBN (Print) | 9783030232061 |
DOIs | |
Publication status | Published - 2019 |
Event | International Conference on Artificial Intelligence in Education 2019 - Chicago, United States of America Duration: 25 Jun 2019 → 29 Jun 2019 Conference number: 20th https://link.springer.com/book/10.1007/978-3-030-23204-7 (Proceedings) |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 11626 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Artificial Intelligence in Education 2019 |
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Abbreviated title | AIED 2019 |
Country/Territory | United States of America |
City | Chicago |
Period | 25/06/19 → 29/06/19 |
Internet address |
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Keywords
- Alignment
- Dialogue
- Epistemic network analysis
- Natural language processing
- Scaffolding
- Zone of proximal development