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Related Experiment Video

Updated: Nov 24, 2025

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

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Published on: January 9, 2016

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

¹Department of Statistics, London School of Economics and Political Science, London, UK. y.chen186@lse.ac.uk.

|December 21, 2020

Summary

This summary is machine-generated.

This study introduces a new method to measure students' problem-solving skills using computer log data. The approach models student actions as a marked point process, enabling better assessment of problem-solving competency and speed.

Keywords:

choice model marked point process measurement problem solving process data

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Last Updated: Nov 24, 2025

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

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Area of Science:

Educational Measurement
Cognitive Science
Data Science

Background:

Problem-solving is a critical skill for students.
Measuring problem-solving competency is increasingly important.
Simulated interactive tasks generate detailed student action data via computer logs.

Purpose of the Study:

To develop a novel method for analyzing complex computer log data.
To create a measurement model for assessing students' problem-solving competency and action speed.
To apply the model to real-world educational data.

Main Methods:

Viewing log file process data as a marked point process.
Proposing a continuous-time dynamic choice model.
Utilizing data from the Program for International Student Assessment 2012.

Main Results:

The proposed model effectively scales students on latent traits of problem-solving competency.
The model can analyze data from single or multiple tasks.
Demonstrated applicability using real-world data.

Conclusions:

Log file data can be effectively modeled as a marked point process.
The continuous-time dynamic choice model offers a robust approach to measuring problem-solving skills.
This methodology enhances the assessment of student competencies in simulated environments.