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Urban Mathematics and Science Teacher Collaborative - (Noyce)

Tufts University's Department of Education is the proud recipient of a generous Robert Noyce Teacher Scholarship Program grant through the National Science Foundation. The grant has supported math and science teachers interested in pursuing their Master of Arts in Teaching (MAT) degree at Tufts as part of the Urban Mathematics and Science Teacher Collaborative (grades 1-12).

The program has funded nine teaching fellows with undergraduate degrees in the STEM (science, technology, engineering, and mathematics) disciplines and who have demonstrated a commitment to teaching young people in high-needs school districts for at least four years after graduation. Fellows in the program spent 12 months as students in Tufts' intensive MAT teacher preparation program, working with Tufts faculty to focus on improving mathematics and science teaching and learning in grades 1-12. The fellows are now involved in ongoing mentoring provided by the program.

Meet Current Noyce Teaching Fellows

Noyce Teaching Fellows 2018-2019

Noyce Master Teaching Fellows 2018-2019

Meet Past Tufts Noyce Fellows

2011/2012

2012/2013

Learn more about alumni and their experience in the program.

Becoming a Noyce Teaching Fellow

This video captures the first cohort of the Tufts Noyce Scholarship Program, in 2011-2012, as they began their journey with faculty mentors from Tufts University and Master Teaching Fellows from Boston area schools.

Being a Noyce Teaching Fellow

Shot in 2012-2013, this video tells the story of the second year cohort as they gained, during their pre-service year, more experience in the classroom and reflected on those experiences in classes at Tufts.

Noyce Alumni Reflections

This video showcases a few of the Boston area Noyce math and science fellows. Footage includes cohort retreats, classroom practice, and reflection on their teaching and continued connection to Tufts University faculty and Master Teaching Fellows.

In the News

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This material is based upon work supported by the National Science Foundation under Grant No. DUE 1035342 and DUE 1439880.