The system presented in this article, namely PERSO, addresses this specific problem and tries to match the student's particular needs by recommending to each one an appropriate training content.
PERSO is production-centered rather than learning-centered.
PERSO is comprised of five components: (a) the curriculum, (b) the student model, (c) the analyzer, (d) the CBR system, and (e) the generator.
The functioning and the interactions of the different modules of PERSO are described in the next sections.
The questionnaire approach used in PERSO is categorization because it is often possible to observe patterns among students and to group students with similar features within categories, sometimes called stereotypes (Kay, 2000).
In PERSO, a case is composed of the case number, the category, the student identification, and the student profile (the cognitive profile and the media preference).
In PERSO, this function is applied with the values of the cognitive attributes.
In PERSO, we use structural adaptation (Smyth & Keane, 1996).
PERSO develops a solution to a novel case by choosing the most similar case and applying a set of rules.