Measuring Complex STEM Thinking Using Epistemic Network Analysis

在这个项目中，研究人员建议研究一种评估科学、技术、工程和数学(STEM)教育中复杂思维的替代模式。这种名为认知网络分析的方法据说可以衡量学生的技能、知识、身份、价值观和认识论。提出了两个为期五年的迭代设计周期。调查人员将使用现有数据进行心理测量分析，开发可视化，开发工具包，并与早期采用者社区合作并向其传播工具包。这项工作将使用几个工程教育游戏的数据进行。传播将以工具包和学术出版物的形式进行。这项工作之所以重要，是因为它背离了当前关于评估的思想，以及将内容学习与价值观、认识论和技能相隔离的概念。由于研究人员提出的工作保留了这些数据并检查了它们之间的相互依赖关系，ENA方法代表了一种潜在的变革性方法来评估复杂的STEM思维。

In this project the researchers propose to investigate an alternative model for assessing complex thinking in science, technology, engineering, and mathematics (STEM) education. The method, Epistemic Network Analysis, is said to measure student skills, knowledge, identities, values, and epistemology. Two iterative design cycles over five years are proposed. The investigators will use existing data to do psychometric analyses, develop visualizations, develop a toolkit, and work with and disseminate a toolkit to a community of early adopters. The work will be conducted using data from several engineering education games. Dissemination will be in the form of the toolkit and academic publications.This work is important because it represents a departure from current thought about assessment and the notion of isolating content learning from values, epistemologies, and skills. Because the work proposed by the investigator retains such data and examines their interdependencies, the ENA method represents a potentially transformative approach to assessing complex STEM thinking.