Information Services banner Edinburgh Research Archive The University of Edinburgh crest

Edinburgh Research Archive >
Informatics, School of >
Informatics Publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/4139

This item has been viewed 4 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
MooreJ_Diagnosing Natural Language Answers.pdf117.63 kBAdobe PDFView/Open
Title: Diagnosing natural language answers to support adaptive tutoring
Authors: Dzikovska, Myroslava
Campbell, Gwendolyn
Callaway, Charles
Steinhauser, Natalie
Farrow, Elaine
Moore, Johanna D.
Butler, Leslie
Matheson, Colin
Issue Date: 1-Nov-2010
Journal Title: Proceedings of the 21st FLAIRS Conference
Abstract: Understanding answers to open-ended explanation questions is important in intelligent tutoring systems. Existing systems use natural language techniques in essay analysis, but revert to scripted interaction with short-answer questions during remediation, making adapting dialogue to individual students difficult. We describe a corpus study that shows that there is a relationship between the types of faulty answers and the remediation strategies that tutors use; that human tutors respond differently to different kinds of correct answers; and that re-stating correct answers is associated with improved learning. We describe a design for a diagnoser based on this study that supports remediation in open-ended questions and provides an analysis of natural language answers that enables adaptive generation of tutorial feedback for both correct and faulty answers.
URI: http://en.scientificcommons.org/43940213
http://hdl.handle.net/1842/4139
Appears in Collections:Informatics Publications

Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2013, and/or the original authors. Privacy and Cookies Policy