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Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality
Collaborative problem solving (CPS) is an essential 21st century skill at the intersection of social collaboration and cognitive problem solving, and is increasingly integrated in educational programs, such as the influential Programme for International Student Assessment (PISA). As research has ide...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6789457/ https://www.ncbi.nlm.nih.gov/pubmed/31266189 http://dx.doi.org/10.3390/jintelligence7030015 |
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author | Stadler, Matthias Herborn, Katharina Mustafić, Maida Greiff, Samuel |
author_facet | Stadler, Matthias Herborn, Katharina Mustafić, Maida Greiff, Samuel |
author_sort | Stadler, Matthias |
collection | PubMed |
description | Collaborative problem solving (CPS) is an essential 21st century skill at the intersection of social collaboration and cognitive problem solving, and is increasingly integrated in educational programs, such as the influential Programme for International Student Assessment (PISA). As research has identified the impact of the Big Five personality traits either on cognitive ability or social collaboration skills in groups, this study firstly identified their impact on the conjoint construct of CPS. Results from structural equation modelling (N = 483) found openness to experience and agreeableness as predictors for CPS performance. The results are embedded in the lifelong learning and investment model by Ackermann and provide implications for PISA 2015, as original PISA 2015 CPS tasks were used. |
format | Online Article Text |
id | pubmed-6789457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67894572019-10-16 Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality Stadler, Matthias Herborn, Katharina Mustafić, Maida Greiff, Samuel J Intell Article Collaborative problem solving (CPS) is an essential 21st century skill at the intersection of social collaboration and cognitive problem solving, and is increasingly integrated in educational programs, such as the influential Programme for International Student Assessment (PISA). As research has identified the impact of the Big Five personality traits either on cognitive ability or social collaboration skills in groups, this study firstly identified their impact on the conjoint construct of CPS. Results from structural equation modelling (N = 483) found openness to experience and agreeableness as predictors for CPS performance. The results are embedded in the lifelong learning and investment model by Ackermann and provide implications for PISA 2015, as original PISA 2015 CPS tasks were used. MDPI 2019-07-01 /pmc/articles/PMC6789457/ /pubmed/31266189 http://dx.doi.org/10.3390/jintelligence7030015 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Stadler, Matthias Herborn, Katharina Mustafić, Maida Greiff, Samuel Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality |
title | Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality |
title_full | Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality |
title_fullStr | Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality |
title_full_unstemmed | Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality |
title_short | Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality |
title_sort | computer-based collaborative problem solving in pisa 2015 and the role of personality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6789457/ https://www.ncbi.nlm.nih.gov/pubmed/31266189 http://dx.doi.org/10.3390/jintelligence7030015 |
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