Fowler_A_M_L_formatted_a1.pdf (89.97 kB)
Providing effective feedback on whole-phrase input in computer-assisted language learning
conference contribution
posted on 2009-05-15, 12:29 authored by Alison M. L. FowlerCALL 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.
History
School
- University Academic and Administrative Support
Department
- Professional Development
Research Unit
- CAA Conference
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. 137-152Publisher
© Loughborough UniversityVersion
- AM (Accepted Manuscript)
Publication date
2008Notes
This is a conference paper.ISBN
0953957276Language
- en
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