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

Psychometrika ◽  
2020 ◽  
Author(s):  
Yunxiao Chen

AbstractProblem 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.

Author(s):  
Liska Yanti Pane ◽  
Kamid Kamid ◽  
Asrial Asrial

This research aims to describe logical thinking process of a logical-mathematical intelligence student. We employ qualitative method to disclose the subject’s learning process. Data are collected by interview and modified think aloud methods. The results show that subject has capability to find and organize problems and data correctly. Subject describes conditions that are needed to do the steps of problem solving strategy. The steps are done systematically until the end of problem solving process.


1977 ◽  
Vol 25 (3) ◽  
pp. 171-183 ◽  
Author(s):  
Valerie Suchor

A one-session study of six four-student groups investigated problem-solving and performance in piano as influenced by a judging-perceiving personality preference of the Myers-Briggs Type Indicator. Three group types were formed from the freshman music majors of nonkeyboard concentration: predominately judging, predominately perceiving, and equally mixed. The task involved both the harmonization and performance of the melody. Groups were scored on two factors of performance: aesthetic-expressive and accurate. Group process was evaluated by dividing the sessions into time segments and encoding verbal activity into six problem-solving behaviors. As a measure of student perception, each student completed a questionnaire. No difference was found in performance results; however, each group type developed its own problem-solving process. Significant differences were found in the amount of total verbal activity, specific verbal behavior, and student perception of group process. Data suggest the importance of teacher flexibility in developing an optimal problem-solving process.


Author(s):  
Nathan Zoanetti

<span>This article presents key steps in the design and analysis of a computer based problem-solving assessment featuring interactive tasks. The purpose of the assessment is to support targeted instruction for students by diagnosing strengths and weaknesses at different stages of problem-solving. The first focus of this article is the task piloting methodology, which demonstrates the relationship between process data and a priori documented problem-solving behaviours. This work culminated in the design of a </span><em>Microsoft Excel</em><span> template for data transcription named a </span><em>Temporal Evidence Map</em><span>. The second focus of this article is to illustrate how evidence from process data can be accumulated to produce and report instructionally useful information not available through traditional assessment approaches. This is demonstrated through the production of reports profiling individual student outcomes against important aspects of problem solving.</span>


2008 ◽  
Vol 67 (2) ◽  
pp. 71-83 ◽  
Author(s):  
Yolanda A. Métrailler ◽  
Ester Reijnen ◽  
Cornelia Kneser ◽  
Klaus Opwis

This study compared individuals with pairs in a scientific problem-solving task. Participants interacted with a virtual psychological laboratory called Virtue to reason about a visual search theory. To this end, they created hypotheses, designed experiments, and analyzed and interpreted the results of their experiments in order to discover which of five possible factors affected the visual search process. Before and after their interaction with Virtue, participants took a test measuring theoretical and methodological knowledge. In addition, process data reflecting participants’ experimental activities and verbal data were collected. The results showed a significant but equal increase in knowledge for both groups. We found differences between individuals and pairs in the evaluation of hypotheses in the process data, and in descriptive and explanatory statements in the verbal data. Interacting with Virtue helped all students improve their domain-specific and domain-general psychological knowledge.


Author(s):  
K. Werner ◽  
M. Raab

Embodied cognition theories suggest a link between bodily movements and cognitive functions. Given such a link, it is assumed that movement influences the two main stages of problem solving: creating a problem space and creating solutions. This study explores how specific the link between bodily movements and the problem-solving process is. Seventy-two participants were tested with variations of the two-string problem (Experiment 1) and the water-jar problem (Experiment 2), allowing for two possible solutions. In Experiment 1 participants were primed with arm-swing movements (swing group) and step movements on a chair (step group). In Experiment 2 participants sat in front of three jars with glass marbles and had to sort these marbles from the outer jars to the middle one (plus group) or vice versa (minus group). Results showed more swing-like solutions in the swing group and more step-like solutions in the step group, and more addition solutions in the plus group and more subtraction solutions in the minus group. This specificity of the connection between movement and problem-solving task will allow further experiments to investigate how bodily movements influence the stages of problem solving.


2018 ◽  
Vol 23 (4) ◽  
pp. 774-799 ◽  
Author(s):  
Charles C. Driver ◽  
Manuel C. Voelkle

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