Pre-Kindergarten

District Leadership in Scaling Up Instructional Improvement

STEM Categorization
Day
Fri

Learn about two projects’ findings on district leadership practices critical for scaling up ambitious mathematics instruction through teacher professional development. Share your own insights, challenges, and recommendations for scale-up. 

Date/Time
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School districts play a critical role in supporting the development of school-level capacity for instructional improvement. Yet, our knowledge on what it takes to achieve district-wide improvement in mathematics instruction and student learning is still limited.  The objectives of this panel presentation are: 1) to share, compare, and discuss findings on district leadership for scaling up instructional improvement at various sites, and 2) to identify common aspects of district leadership critical for scaling up ambitious and equitable mathematics instruction. 

Session Types

Expanding Opportunities for STEM Teacher Leadership

STEM Categorization
Day
Thu

Learn about issues, opportunities, and models of teacher leadership to create transformative learning environments and improve education policy and decision making.

Date/Time
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Session Materials

Effective teachers are crucial to efforts in improving student learning in K-12 STEM education. Effective teaching may be enhanced through innovative professional development that takes into account the stage of a teacher’s career continuum and opportunities for teachers to use their knowledge and wisdom of practice in various leadership capacities.

Session Types

Co-Design Processes to Support the Development of Educational Innovations

STEM Categorization
Day
Thu

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.

Date/Time
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Facilitators

Data-Intensive Research in Education: New Opportunities for Making an Impact

STEM Categorization
Day
Thu

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.

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

Session Types