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

机译：解决问题解决过程数据的连续动态选择测量模型

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摘要

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.
机译：解决问题被认为是当今学生成长和塑造世界所需的核心技能。因此，近年来，问题解决能力的测量在教育界备受关注。衡量问题解决能力的一个流行工具是模拟交互任务，它要求学生通过与计算机模拟环境的交互来发现解决问题所需的一些信息。计算机日志文件详细记录了学生解决问题的过程，包括他/她的行动和这些行动的时间戳。因此，它为测量学生的问题解决能力提供了丰富的信息。另一方面，由于其复杂的数据结构，从日志文件中提取有用信息是一项具有挑战性的任务。在本文中，我们展示了如何将日志文件过程数据视为标记点过程，并在此基础上提出了一个连续时间动态选择模型。该模型可以作为一个测量模型，根据一个或多个任务的数据，根据问题解决能力和行动速度的潜在特征来衡量学生。根据2012年国际学生评估项目的数据，给出了一个真实的数据示例。

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