Dowsing, R. D. and Long, S. (2000) Information Technology Skills Assessment Techniques. In: International Workshop on Advanced Learning Technologies, 2000-12-04 - 2000-12-06.
Full text not available from this repository.Abstract
There are two tasks associated with the assessment of IT skills; the discovery of errors and the classification of errors. The discovery of errors is a pattern matching task where a candidate attempt is synchronised with the model answer. The classification of the errors consists of applying sets of rules to regions of a candidate answer corresponding to regions of the model solution. A particular constraint in this type of assessment is that the results should be similar to those which would be produced by a human examiner. This paper describes the algorithms the authors have used in automating a number of assessors for the use of word processors, spreadsheets and databases and describes some of the problems of applying such algorithms in practice
Item Type: | Conference or Workshop Item (Paper) |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
Depositing User: | Vishal Gautam |
Date Deposited: | 26 Aug 2011 13:13 |
Last Modified: | 15 Dec 2022 01:06 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/22457 |
DOI: | 10.1109/IWALT.2000.890576 |
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