SciMath-DLL is a professional development model co-created with educators with funding from the National Science Foundation (see below). The model includes workshops, professional learning communities, and reflective coaching. Results of our evaluation are forthcoming.

Check us out

• Featured in a report by New America here 
• Highlighted by CADRE along with other NSF-funded projects supporting English language learners/dual language learners
• Journal article on our model

What's Next
​Our professional learning and development resources are evolving. We plan to launch versions of our resources for teacher educators, which we will launch during a Preschool STEM Institute.

Videos Online

DRK-12 PROJECT VIDEOS ON EARLY CHILDHOOD WORK
View a playlist of 3-minute videos featured in the 2016-20 STEM for All Video Showcases that are focused on early childhood work and funded by the National Science Foundation's DRK-12 Program.

Our Approach

Click here to view a video about
our approach to professional learning

Children's STEM Thinking

• Early math
  

What does this 4-year-old boy's actions and words tell us about his math thinking?

Stay tuned for more videos

Eagle cam project video

Want More?

Check out our links page for external video sites

Contact us

For MORE INFORMATION:

Acknowledgements
We would like to acknowledge many of the wonderful folks who have contributed to our work over the years. Contributors include Rosemary Geiken, Carol Trivette, Daisy Tian, Kim Brenneman (former PI of SciMath-DLL project), Hebbah El-Moslimany, Ellen Frede (former co-I), Judi Stevenson-García, Alex Figueras-Daniel, Daryl Greenfield, Margaret “Peggy” Freedson, Jennifer Jacobs, Jorie Quinn, Doug Clements, Kwanghee Jung, Jamie Price, and Judy Beavers. Educators from Passaic, Long Branch, Elizabeth, and Union City Public Schools in New Jersey participated in the program and contributed to its development. The SciMath-DLL model began and was substantially developed at the National Institute of Early Education Research - NIEER (www.nieer.org).

Work presented here is made possible by grants from the National Science Foundation (DRL-1019576 & DRL-1417040/DRL-1726082). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.