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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/4661

Title: Providing effective feedback on whole-phrase input in computer-assisted language learning
Authors: Fowler, Alison M. L.
Issue Date: 2008
Publisher: © Loughborough University
Citation: FOWLER, A.M.L., 2008. Providing effective feedback on whole-phrase input in computer-assisted language learning. IN: Khandia, F. (ed.). 12th CAA International Computer Assisted Assessment Conference : Proceedings of the Conference on 8th and 9th July 2008 at Loughborough University. Loughborough : Lougborough University, pp. 137-152
Abstract: CALL systems which allow whole-phrase input are still in the minority and those which do rely either on parsing for feedback provision (a solution which is ineffective when input is poor) or simply process input token by token (an unsatisfactory method if input is incorrectly ordered). Since poor input and incorrect word-order occur frequently in CALL responses a different approach may be beneficial. The LISC system, developed at the University of Kent to present phrasetranslation exercises, uses an error-detection and feedback mechanism based on fine-granularity sequence comparison. It compares input phrases to acceptable (correct) answers, but unlike traditional error-checking routines it does not fail on encountering unordered or ungrammatical input. An added advantage of its error detection method is that the system is language independent.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/4661
ISBN: 0953957276
Appears in Collections:CAA Conference

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