Advancing school dropout early warning systems: the IAFREE relational model for identifying at-risk students.

ABSTRACT:

Introduction

There is a global effort to address the school dropout phenomenon. The urgency to act on it comes from the harmful evidence that school dropout has on societal and individual levels. Early Warning Systems (EWS) for school dropout at-risk student identification have been developed to anticipate and help schools have a better chance of acting on it. However, several studies point to a doubt that Correct EWS may come too late because they use only publicly available and general student and school information. We hypothesize that having a tool to assess more subjective and inter-relational factors would help anticipate where and when to act to prevent school dropout. This study aimed to develop a multidimensional measure for assessing relational factors for predicting scho

SUBMITTER: de Vasconcelos AN 

PROVIDER: S-EPMC10425558 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature