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Collaborative Problem Solving: Processing Actions, Time, and Performance

This study is based on one collaborative problem solving task from an international assessment: the Xandar task. It was developed and delivered by the Organization for Economic Co-operation and Development Program for International Student Assessment (OECD PISA) 2015. We have investigated the relati...

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Autores principales: De Boeck, Paul, Scalise, Kathleen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566913/
https://www.ncbi.nlm.nih.gov/pubmed/31231281
http://dx.doi.org/10.3389/fpsyg.2019.01280
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author De Boeck, Paul
Scalise, Kathleen
author_facet De Boeck, Paul
Scalise, Kathleen
author_sort De Boeck, Paul
collection PubMed
description This study is based on one collaborative problem solving task from an international assessment: the Xandar task. It was developed and delivered by the Organization for Economic Co-operation and Development Program for International Student Assessment (OECD PISA) 2015. We have investigated the relationship of problem solving performance with invested time and number of actions in collaborative episodes for the four parts of the Xandar task. The parts require the respondent to collaboratively plan a process for problem solving, implement the process, reach a solution, and evaluate the solution (For a full description, see the Materials and Methods section, “Parts of the Xandar Task.”) Examples of an action include posting to a chat log, accessing a shared resource, or conducting a search on a map tool. Actions taken in each part of the task were identified by PISA and recorded in the data set numerically. A confirmatory factor analysis (CFA) model looks at two types of relationship: at the level of latent variables (the factors) and at extra dependencies, which here are direct effects and correlated residuals (independent of the factors). The model, which is well-fitting, has three latent variables: actions (A), times (T), and level of performance (P). Evidence for the uni-dimensionality of performance level is also found in a separate analysis of the binary items. On the whole for the entire task, participants with more activities are less successful and faster, based on the United States data set employed in the analysis. By contrast, successful participants take more time. By task part, the model also investigates relationships between activities, time, and performance level within the parts. This was done because one can expect dependencies within parts of such a complex task. Results indicate some general and some specific relationships within the parts, see the full manuscript for more detail. We conclude with a discussion of what the investigated relationships may reveal. We also describe why such investigations may be important to consider when preparing students for improved skills in collaborative problem solving, considered a key aspect of successful 21st century skills in the workplace and in everyday life in many countries.
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spelling pubmed-65669132019-06-21 Collaborative Problem Solving: Processing Actions, Time, and Performance De Boeck, Paul Scalise, Kathleen Front Psychol Psychology This study is based on one collaborative problem solving task from an international assessment: the Xandar task. It was developed and delivered by the Organization for Economic Co-operation and Development Program for International Student Assessment (OECD PISA) 2015. We have investigated the relationship of problem solving performance with invested time and number of actions in collaborative episodes for the four parts of the Xandar task. The parts require the respondent to collaboratively plan a process for problem solving, implement the process, reach a solution, and evaluate the solution (For a full description, see the Materials and Methods section, “Parts of the Xandar Task.”) Examples of an action include posting to a chat log, accessing a shared resource, or conducting a search on a map tool. Actions taken in each part of the task were identified by PISA and recorded in the data set numerically. A confirmatory factor analysis (CFA) model looks at two types of relationship: at the level of latent variables (the factors) and at extra dependencies, which here are direct effects and correlated residuals (independent of the factors). The model, which is well-fitting, has three latent variables: actions (A), times (T), and level of performance (P). Evidence for the uni-dimensionality of performance level is also found in a separate analysis of the binary items. On the whole for the entire task, participants with more activities are less successful and faster, based on the United States data set employed in the analysis. By contrast, successful participants take more time. By task part, the model also investigates relationships between activities, time, and performance level within the parts. This was done because one can expect dependencies within parts of such a complex task. Results indicate some general and some specific relationships within the parts, see the full manuscript for more detail. We conclude with a discussion of what the investigated relationships may reveal. We also describe why such investigations may be important to consider when preparing students for improved skills in collaborative problem solving, considered a key aspect of successful 21st century skills in the workplace and in everyday life in many countries. Frontiers Media S.A. 2019-06-07 /pmc/articles/PMC6566913/ /pubmed/31231281 http://dx.doi.org/10.3389/fpsyg.2019.01280 Text en Copyright © 2019 De Boeck and Scalise. 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
De Boeck, Paul
Scalise, Kathleen
Collaborative Problem Solving: Processing Actions, Time, and Performance
title Collaborative Problem Solving: Processing Actions, Time, and Performance
title_full Collaborative Problem Solving: Processing Actions, Time, and Performance
title_fullStr Collaborative Problem Solving: Processing Actions, Time, and Performance
title_full_unstemmed Collaborative Problem Solving: Processing Actions, Time, and Performance
title_short Collaborative Problem Solving: Processing Actions, Time, and Performance
title_sort collaborative problem solving: processing actions, time, and performance
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566913/
https://www.ncbi.nlm.nih.gov/pubmed/31231281
http://dx.doi.org/10.3389/fpsyg.2019.01280
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