Publication

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

Blaauw, F. J., van der Gaag, M. A. E., Snell, N. R., Emerencia, A. C., Kunnen, E. S. & de Jonge, P., 20-Sep-2019, In : Frontiers in Psychology. 10, 1808, 15 p., 1808.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Blaauw, F. J., van der Gaag, M. A. E., Snell, N. R., Emerencia, A. C., Kunnen, E. S., & de Jonge, P. (2019). The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants. Frontiers in Psychology, 10(1808), [1808]. https://doi.org/10.3389/fpsyg.2019.01808

Author

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. In: Frontiers in Psychology. 2019 ; Vol. 10, No. 1808.

Harvard

Blaauw, FJ, van der Gaag, MAE, Snell, NR, Emerencia, AC, Kunnen, ES & de Jonge, P 2019, 'The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants', Frontiers in Psychology, vol. 10, no. 1808, 1808. https://doi.org/10.3389/fpsyg.2019.01808

Standard

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.

In: Frontiers in Psychology, Vol. 10, No. 1808, 1808, 20.09.2019.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Blaauw FJ, van der Gaag MAE, Snell NR, Emerencia AC, Kunnen ES, de Jonge P. The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants. Frontiers in Psychology. 2019 Sep 20;10(1808). 1808. https://doi.org/10.3389/fpsyg.2019.01808


BibTeX

@article{207e92a5ab9e4ac193492379e6e6f28e,
title = "The u-can-act Platform: A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants",
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.",
keywords = "early school leaving, ecological momentary assessments, web application, vocational education, motivation, open source, ECOLOGICAL MOMENTARY ASSESSMENT, MOTIVATIONAL MODEL, SELF-DETERMINATION, DROP-OUT, ENGAGEMENT, DIARY, LIFE",
author = "Blaauw, {Frank J.} and {van der Gaag}, {Mandy A. E.} and Snell, {Nick R.} and Emerencia, {Ando C.} and Kunnen, {E. Saskia} and {de Jonge}, Peter",
note = "Copyright {\circledC} 2019 Blaauw, van der Gaag, Snell, Emerencia, Kunnen and de Jonge.",
year = "2019",
month = "9",
day = "20",
doi = "10.3389/fpsyg.2019.01808",
language = "English",
volume = "10",
journal = "Frontiers in Psychology",
issn = "1664-1078",
publisher = "Frontiers Media SA",
number = "1808",

}

RIS

TY - JOUR

T1 - The u-can-act Platform

T2 - A Tool to Study Intra-individual Processes of Early School Leaving and Its Prevention Using Multiple Informants

AU - Blaauw, Frank J.

AU - van der Gaag, Mandy A. E.

AU - Snell, Nick R.

AU - Emerencia, Ando C.

AU - Kunnen, E. Saskia

AU - de Jonge, Peter

N1 - Copyright © 2019 Blaauw, van der Gaag, Snell, Emerencia, Kunnen and de Jonge.

PY - 2019/9/20

Y1 - 2019/9/20

N2 - 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.

AB - 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.

KW - early school leaving

KW - ecological momentary assessments

KW - web application

KW - vocational education

KW - motivation

KW - open source

KW - ECOLOGICAL MOMENTARY ASSESSMENT

KW - MOTIVATIONAL MODEL

KW - SELF-DETERMINATION

KW - DROP-OUT

KW - ENGAGEMENT

KW - DIARY

KW - LIFE

U2 - 10.3389/fpsyg.2019.01808

DO - 10.3389/fpsyg.2019.01808

M3 - Article

VL - 10

JO - Frontiers in Psychology

JF - Frontiers in Psychology

SN - 1664-1078

IS - 1808

M1 - 1808

ER -

ID: 97420594