The Robert Noyce Teacher Scholarship Program

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NYC Collaborative Noyce Project at CUNY

  • Year 2016
  • NSF Noyce Award # 1340007
  • First Name Fangyang
  • Last Name Shen
  • Discipline Computer Science
  • Co-PI(s)

    Mete Kok, Borough of Manhattan Community College, amkok@bmcc.cuny.edu
    Annie Han, Borough of Manhattan Community College, yhan@bmcc.cuny.edu
    Andrew Douglas, NYC College of Technology, adouglas@citytech.cuny.edu
    Lieselle Trinidad, NYC College of Technology, ltrinidad@citytech.cuny.edu
    Estela Rojas, NYC College of Technology, erojas@citytech.cuny.edu

  • Presenters

    Fangyang Shen, NYC College of Technology, fshen@citytech.cuny.edu
    Annie Han, Borough of Manhattan Community College, yhan@bmcc.cuny.edu

Need

The Noyce Teacher Scholarship Phase I program (NEST) will increase the number of highly qualified STEM teachers in high need school districts in Brooklyn and the New York metropolitan area. This will help students learn more about Science, Technology, Engineering and Mathematics.

Goals

The goal for this project is to increase the number of highly qualified STEM teachers in high need school districts in Brooklyn and the New York metropolitan area. Key activities will include NOYCE scholarships where students will become licensed STEM teachers.

Approach

The goal is to increase the number of highly qualified STEM teachers in high need school districts in Brooklyn and the New York metropolitan area. NOYCE scholarships will help teachers become licensed STEM teachers. Details will be explained in the poster.

Outcomes

The five year program will produce a total of 20 new STEM teachers and create a new STEM teacher preparation pathway for the critically underpowered STEM teaching force in New York City.

Broader Impacts

Students in Brooklyn and the NYC area will be taught by teachers who have a strong STEM background. The NOYCE Project also maximizes support for STEM students who wish to enter the teaching profession in STEM disciplines and serve their communities.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant Numbers DUE-2041597 and DUE-1548986. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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