PMID: 9533738Apr 9, 1998Paper

Palomar project: predicting school renouncing dropouts, using the artificial neural networks as a support for educational policy decisions

Substance Use & Misuse
V Carbone, G Piras

Abstract

The "Palomar" project confronts two problem situations that are partly independent and partly connected to the Italian schooling system: unstable participation in school such as drop out and educational guidance. Our concern is that of a set of phenomena which consists of ceasing compulsory education, repetition of a year at school, school "drop outs", irregular compulsory attendance and delays in the course of studies. The "Palomar" project is designed to offer educators and administrators who want to effectively intervene with these complex problems to furnish school guidance services as an instrument able to: 1. Predict: creating a system able to predict in advance (not in a "cause-effect" way but as an approximation): a) which students are at "risk" for school destabilization or failure; b) what are the prototypical characteristics of these students; c) which students among those studied are more likely to "destabilize" or fail in school; in which course of study does each student have the greatest chance of success; d) which, among the variables studied and appropriately weighted for each student, will predict the successful grade, analyzed for each possible course of studies. 2. Optimize: selecting and focusing on a stude...Continue Reading

References

Nov 23, 1985·British Dental Journal·B M Eley
May 30, 1981·British Medical Journal·R G Gibson, S L Gibson

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