EcoMUVE (ecomuve.gse.harvard.edu) is a middle school science curriculum in which students explore an immersive virtual ecosystem and learn its causal dynamics through collaborative inquiry activities. In one experience, students explore a virtual pond and its biodiversity, traveling in time to see changes over the course of a virtual summer. They discover a fish kill and are tasked with figuring out why it happened. In another experience, students explore population dynamics and predator-prey relationships over 50 years in a virtual forest.

In the past 20 years, mathematics education research has seen a turn toward the social and, consequently, discursive aspects of learning (Kieran, Forman, & Sfard, 2001; Ryve, 2011). A heightened attention to discursive features of instruction is seen in the recent publication Principles to Actions (NCTM, 2014), which describes an ambitious image of mathematics teaching and learning for the 21st century.

Quality elementary science programs are faced with the challenge of adapting and/or building upon the Next Generation Science Standards (NGSS) in order to provide an essential foundation for student learning and interest in science. As such, these science programs must address how the practices of science can be linked with cross-cutting concepts through meaningful learning contexts that, of necessity, evolve progressively across grades.

This session focuses on methods and results from four current NSF-funded studies (three of which are funded under DR K–12). Two studies are attempting to capture the essential features of inclusive STEM-focused high schools and are developing data-based conceptual frameworks. One of these is conducting rich case studies of eight high-functioning, inclusive STEM high schools (ISHSs), drawn from seven different states, to build a common model for designing such schools.

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.