Measurement

In this interactive panel symposium, presenters will draw from a set of active DR K-12 projects to explore a diverse array of resources, models, and tools (RMTs) designed to operationalize varying perspectives on scientific modeling in elementary, middle, and secondary classrooms across disciplinary domains.

The Computing Research Association’s report from an NSF-sponsored workshop describes seven next steps for data-intensive research in education:

This session provides a forum for discussion around issues of alignment between programs, their learning goals, and the measures for assessing program effectiveness. The session seeks to offer ideas and strategies on how to tackle these kinds of issues.

The session addresses a common challenge in research—the tension between the need for using existing measures to ensure that research results can be compared across studies and the need for using measures that are well-aligned with a program’s learning goals to assess treatment effects.

The LAMP project has developed a sequence of lessons in a hypothetical learning trajectory that targets students’ ability to write viable arguments in algebraic contexts. Most of the lessons encourage students to produce a referent (e.g., variable expression or equation, generic example, diagram) as the foundation of their argument. Students come to the lessons with a predisposition for example production in support of their claims and to augment arguments.

Examples of research practices that limit the validity of research syntheses are not difficult to find. For example, Education Development Center, Inc. (EDC), and Abt Associates reported in their Compendium of STEM Instruments that psychometric reporting practices in the STEM community tend to be insufficient, and this limited what they could learn from their synthesis.