Cargando…

The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants

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, a...

Descripción completa

Detalles Bibliográficos
Autores principales: Blaauw, Frank J., van der Gaag, Mandy A. E., Snell, Nick R., Emerencia, Ando C., Kunnen, E. Saskia, de Jonge, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764284/
https://www.ncbi.nlm.nih.gov/pubmed/31616330
http://dx.doi.org/10.3389/fpsyg.2019.01808
_version_ 1783454346184228864
author Blaauw, Frank J.
van der Gaag, Mandy A. E.
Snell, Nick R.
Emerencia, Ando C.
Kunnen, E. Saskia
de Jonge, Peter
author_facet Blaauw, Frank J.
van der Gaag, Mandy A. E.
Snell, Nick R.
Emerencia, Ando C.
Kunnen, E. Saskia
de Jonge, Peter
author_sort Blaauw, Frank J.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6764284
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-67642842019-10-15 The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants Blaauw, Frank J. van der Gaag, Mandy A. E. Snell, Nick R. Emerencia, Ando C. Kunnen, E. Saskia de Jonge, Peter Front Psychol Psychology 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. Frontiers Media S.A. 2019-09-20 /pmc/articles/PMC6764284/ /pubmed/31616330 http://dx.doi.org/10.3389/fpsyg.2019.01808 Text en Copyright © 2019 Blaauw, van der Gaag, Snell, Emerencia, Kunnen and de Jonge. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Blaauw, Frank J.
van der Gaag, Mandy A. E.
Snell, Nick R.
Emerencia, Ando C.
Kunnen, E. Saskia
de Jonge, Peter
The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants
title The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants
title_full The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants
title_fullStr The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants
title_full_unstemmed The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants
title_short The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants
title_sort u-can-act platform: a tool to study intra-individual processes of early school leaving and its prevention using multiple informants
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764284/
https://www.ncbi.nlm.nih.gov/pubmed/31616330
http://dx.doi.org/10.3389/fpsyg.2019.01808
work_keys_str_mv AT blaauwfrankj theucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT vandergaagmandyae theucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT snellnickr theucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT emerenciaandoc theucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT kunnenesaskia theucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT dejongepeter theucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT blaauwfrankj ucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT vandergaagmandyae ucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT snellnickr ucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT emerenciaandoc ucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT kunnenesaskia ucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants
AT dejongepeter ucanactplatformatooltostudyintraindividualprocessesofearlyschoolleavinganditspreventionusingmultipleinformants