laboratoire Analyse et Traitement Informatique de la Langue Française (ATILF)
CNRS Université de Lorraine

Membre de

Article du Mélanges 1975



The aim of this paper is to present linguists - both members of research teams and language teachers - with some possible applications of computing science to language teaching. First, it is possible to use a computer’s output system merely in order to print any type of information, e.g. a list of students’ names and their marks. Such a list of results may be remodelled using very simple and very numerous classifying programmes. The computer also allows the teacher to make more elaborate calculations and obtain very useful results such as arithmetic mean, the standard deviation and so on, whatever the number of students. Such results permit a more thorough understanding and judgement of the marketing scheme, and a better "visualisation" of the distribution of the students, which proves to be very useful when making comparison of the students’ levels.

To illustrate clearly these applications, a concrete example is given concerning the improvement of a reading comprehension test. The test is fully describe and its evaluation over three years is presented and explained : modifications of all sorts were introduced in accordance with the interpretation of mathematical and statistical data. The discrimination factor makes it clear whether any particular item discriminates effectively ; the frequency factor shows the number of answers - right or wrong - give for each exercise. Finally, the corrolation factor shows whether all the different series of exercises really contribute in testing the same kind of reading skill.

All these data are plotted or given in charts, and are thoroughly discussed in order to explain how it is possible to transform such skill-testing material to make it as concise as possible while giving it as great as a discriminatory power as possible.

version complète et imprimable

2005-05-30 15:12:18

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