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Computational Psychometrics for the Measurement of Collaborative Problem Solving Skills.

Stephen T Polyak1, Alina A von Davier1, Kurt Peterschmidt1

  • 1ACTNext, ACT, Inc., Iowa City, IA, United States.

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|December 15, 2017
PubMed
Summary

This study introduces a computational psychometrics approach to measure collaborative problem solving skills in middle schoolers using a game simulation. It analyzes behavioral data in real-time and post-game to track skill development and identify player profiles.

Keywords:
clusteringcollaborationevidence-centeredgameproblem-solvingpsychometricssimulation

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Area of Science:

  • Educational Psychology
  • Computational Psychometrics
  • Human-Computer Interaction

Background:

  • Measuring collaborative problem solving (CPS) skills is challenging.
  • Traditional psychometric methods may not capture dynamic, interactive skill use.
  • Emerging computational approaches offer new possibilities for skill assessment.

Purpose of the Study:

  • To develop and validate a psychometrically-based approach for measuring CPS skills.
  • To utilize behavioral data from an online simulation for real-time and post-game skill analysis.
  • To apply computational psychometrics techniques to educational data mining.

Main Methods:

  • Collected behavioral data from middle school students interacting with a collaborative problem-solving online simulation.
  • Employed Evidence-Centered Design (ECD) principles for task development.
  • Applied real-time Bayesian evidence tracing and post-game cluster analysis of sub-skill performance.

Main Results:

  • Demonstrated a continuous Bayesian evidence tracing method for updating sub-skill mastery probabilities in real-time.
  • Identified unique gameplay profiles through cluster analysis of user dialog response patterns.
  • Validated the use of computational psychometrics for assessing complex cognitive skills.

Conclusions:

  • The computational psychometrics approach effectively measures collaborative problem solving skills.
  • Real-time and post-game analyses provide valuable insights into skill acquisition and user behavior.
  • This methodology offers a robust framework for assessing complex skills in digital environments.