Abstract

We present the u-can-act platform, a tool that we developed to study the individual processes of early school leaving and the preventative actions that mentors take to steer these processes in the right direction. Early school leaving is a significant problem, particularly in vocational education, and can have severe consequences for both the individual and society. However, the prevention of early school leaving is hampered by a mismatch between research and practice: research tends to focus on identifying risk factors using group averages and cross-sectional studies, while practitioners focus on intervening in individual processes. We aim to help solve this mismatch with our project u-can-act. In this project we have developed a platform that helps to gain insight into both the individual processes that precede early school leaving as well as the actions that mentors take to prevent it. In this paper we introduce the u-can-act platform, which consists of three technology-based, reusable methodological innovations. Specifically, our innovations concern: (i) an open source web application for longitudinal personalized data-collection, (ii) an automated study protocol that optimizes adherence in a difficult target group (adolescents at risk for early school leaving), and (iii) a technologically assisted coupling between mentor and student that allows us to study dyadic interactions over time. We present performance results of our platform, including participant adherence, the behavior of the questionnaire items over time, and the way that our web application is experienced by the participants. We conclude that our innovative platform is successful in collecting multi-informant time-series data on intervention processes among students in vocational education, both for at-risk students and control students, and for their mentors. Moreover, our platform is suitable for broader applications: it can be used to study any malleable individual process including the efforts of a second individual who aims to influence this process. Because of the unique insights that the u-can-act platform is able to generate, the platform may ultimately contribute to solving the mismatch between research and practice, and to more effective interventions in individual processes.

Highlights

  • Each year, many adolescents and young adults leave school early1

  • In this paper we present the open source Ecological Momentary Assessment (EMA) platform of the u-can-act research project that we use to study the developmental processes of early school leaving in students, their micro-level interactions with their mentors, and the prevention of early school leaving within individuals

  • Before we evaluate the platform we first provide some characteristics of our sample

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Summary

Introduction

Many adolescents and young adults leave school early. In Europe alone, 5.5 million individuals left school early in 2012 (European Commission, 2013). School leaving is a large problem in vocational education and training (VET), where approximately two thirds of all European early school leaving takes place (Cedefop, 2016). This is alarming as early school leaving has severe consequences for both the individual and society as a whole. This sub-optimal information may be due to a mismatch in focus: while social scientists have a long tradition of generating knowledge on the between-individual level (e.g., finding general trends based on data retrieved from groups), practitioners tend to focus on the within-individual level (i.e., individual change processes)

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