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Mountaineer Mathematics Master Teachers: Fellows’ Experiences Leading & Growing a Statewide Network

  • Year 2022
  • NSF Award #1950217
  • Registration Master Teaching Fellow

  • First Name Adam
  • Last Name Riazi

  • Discipline Mathematics, Other: Mathematics Education
  • Institution West Virginia University
  • School Name and District Currently Teaching Cabell Midland High School

Abstract

The Mountaineer Mathematics Master Teachers (M3T) Noyce Fellowship project aims to support teacher leadership and networked improvement communities in mathematics education across West Virginia. During the 2021-2022 school year, the project’s first cohort of 18 Master Teaching Fellows (in their second year) led “Local Improvement Teams” to identify, address, and positively impact common challenges found in classrooms within the state. Partnering with their local districts, Master Teaching Fellows recruited, organized, and developed these Local Improvement Teams to connect to the M3T project’s statewide network and become engines of innovation and the vehicles to implement change ideas in a rapid, yet structured manner. Through this poster, M3T Master Teaching Fellows Jami Packer and Adam S. Riazi will present their own and their cohort’s experiences in leading a Local Improvement Team during this school year. Recruitment methods, district partnerships, change ideas, and breadth and depth of teacher and student impacts will be explored. Personal anecdotes, successes, challenges, and future plans will also be covered in this visual narrative of what a successful and growing Networked Improvement Community supporting teacher leadership and improving mathematics instruction and learning looks like among secondary teachers in West Virginia, providing a model which could be transferable across other states, programmatic levels, and curricular disciplines.

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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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