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A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data

Problem solving has been recognized as a central skill that today’s students need to thrive and shape their world. As a result, the measurement of problem-solving competency has received much attention in education in recent years. A popular tool for the measurement of problem solving is simulated i...

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Autor principal: Chen, Yunxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826320/
https://www.ncbi.nlm.nih.gov/pubmed/33346883
http://dx.doi.org/10.1007/s11336-020-09734-1
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author Chen, Yunxiao
author_facet Chen, Yunxiao
author_sort Chen, Yunxiao
collection PubMed
description Problem solving has been recognized as a central skill that today’s students need to thrive and shape their world. As a result, the measurement of problem-solving competency has received much attention in education in recent years. A popular tool for the measurement of problem solving is simulated interactive tasks, which require students to uncover some of the information needed to solve the problem through interactions with a computer-simulated environment. A computer log file records a student’s problem-solving process in details, including his/her actions and the time stamps of these actions. It thus provides rich information for the measurement of students’ problem-solving competency. On the other hand, extracting useful information from log files is a challenging task, due to its complex data structure. In this paper, we show how log file process data can be viewed as a marked point process, based on which we propose a continuous-time dynamic choice model. The proposed model can serve as a measurement model for scaling students along the latent traits of problem-solving competency and action speed, based on data from one or multiple tasks. A real data example is given based on data from Program for International Student Assessment 2012.
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spelling pubmed-78263202021-02-11 A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data Chen, Yunxiao Psychometrika Theory and Methods Problem solving has been recognized as a central skill that today’s students need to thrive and shape their world. As a result, the measurement of problem-solving competency has received much attention in education in recent years. A popular tool for the measurement of problem solving is simulated interactive tasks, which require students to uncover some of the information needed to solve the problem through interactions with a computer-simulated environment. A computer log file records a student’s problem-solving process in details, including his/her actions and the time stamps of these actions. It thus provides rich information for the measurement of students’ problem-solving competency. On the other hand, extracting useful information from log files is a challenging task, due to its complex data structure. In this paper, we show how log file process data can be viewed as a marked point process, based on which we propose a continuous-time dynamic choice model. The proposed model can serve as a measurement model for scaling students along the latent traits of problem-solving competency and action speed, based on data from one or multiple tasks. A real data example is given based on data from Program for International Student Assessment 2012. Springer US 2020-12-21 2020 /pmc/articles/PMC7826320/ /pubmed/33346883 http://dx.doi.org/10.1007/s11336-020-09734-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Theory and Methods
Chen, Yunxiao
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
title A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
title_full A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
title_fullStr A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
title_full_unstemmed A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
title_short A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
title_sort continuous-time dynamic choice measurement model for problem-solving process data
topic Theory and Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826320/
https://www.ncbi.nlm.nih.gov/pubmed/33346883
http://dx.doi.org/10.1007/s11336-020-09734-1
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