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
Original language | English |
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Pages | 93-96 |
Number of pages | 4 |
DOIs | |
Publication status | Published - Dec 2000 |
Event | International Workshop on Advanced Learning Technologies - Palmerston North, New Zealand Duration: 4 Dec 2000 → 6 Dec 2000 |
Workshop
Workshop | International Workshop on Advanced Learning Technologies |
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Abbreviated title | IWALT 2000 |
Country/Territory | New Zealand |
City | Palmerston North |
Period | 4/12/00 → 6/12/00 |