Join a discussion about co-design approaches that can help ensure that educational innovations are designed and used to support teaching and learning in early childhood.
Come and discuss opportunities to build synergy between Achieve’s efforts to support NGSS implementation across states and DR K–12 research initiatives.
Learn about two efforts to design and implement practical measures of science and mathematics teaching to inform school and district instructional improvement efforts.
In contrast to evaluative research that uses accountability measures, improvement science research (Bryk, Gomez, Grunow, & LeMahieu, 2015), using practical measures is designed to provide practitioners with frequent, rapid feedback that enables them to assess and adjust instruction during the process of implementation. The resulting data is potentially of use to multiple stakeholders. For example, practical measures can orient teachers to attend to key aspects of the classroom that might be invisible to them.
Bryk, A. S., Gomez, L. M., Grunow, A., & LeMahieu, P. (2015). Learning to improve: How America's schools can get better at getting better.
Cambridge, MA: Harvard Education Press.
Yeager, D., Bryk, A. S., Muhich, J., Hausman, H., & Morales, L. (2013). Practical measurement. Carnegie Foundation for the Advancement of
Teaching. Stanford, CA.
Kara Jackson, Jessica Thompson
Discover how digital games can inform classroom teaching using data from innovative formative assessments from three different game-based projects.
This session aims to open up a conversation about of how games can be used for formative assessment and how data from digital games can inform classroom teaching.
Join a facilitated discussion about the application of data science to education, drawing on a recent NSF-sponsored report. Participants share insights from DR K–12 projects.
The Computing Research Association’s report from an NSF-sponsored workshop describes seven next steps for data-intensive research in education:
A National Science Foundation Update