Matching Experienced and Novice Teachers for Ongoing Rigorous Support in Computer Science

CS Teachers in WisconsinNovice CS teachers in Wisconsin can receive rigorous, ongoing, one-on-one support from an experienced high school CS teacher. Mentors will guide teachers to self-reflect and set professional learning goals. They will meet virtually for about one hour twice per month throughout the school year. Goals of these mentorship meetings are to plan for and reflect on lessons, address challenges, build knowledge and skills, and monitor progress towards goals. Through individualized support through 1:1 mentorship, we expect teachers will demonstrate increased confidence, pedagogical content knowledge, and use of equitable and inclusive teaching practices.

Get Involved!

Please email Amy or Linnea if you are interested in joining the Mentoring Program.
Eligibility Criteria
  • High school CS teacher in Wisconsin
  • 5+ years experience teaching CS
  • Interest in mentoring, leadership, and collaboration
  • High school CS teacher in Wisconsin
  • 0 to 2 years of CS teaching experience
  • Teaches Exploring Computer Science, AP Computer Science Principles, and/or AP Computer Science A
  • $2,000 stipend
  • Mentor training and materials / structures
  • Participation in a community of practice 
  • Continued professional growth
  • $500 stipend
  • Individualized support through 1:1 mentorship will lead to increased confidence, knowledge, and equity in teaching CS

Project Team

CSTA Wisconsin Dairyland is partnering with CSTA and WestEd on this National Science Foundation-supported research/practice partnership project. The leadership team includes:
Amy Fetherston Linnea Logan Bryan Twarek Jason Bohrer Aleata Hubbard Yvonne Kao
Amy Fetherston
CSTA Wisconsin Chapter Co-President
Linnea Logan

CSTA Wisconsin Chapter Co-President

Bryan Twarek
CSTA Director of Education
Jason W. Bohrer
CSTA Chapter Relations Lead
Aleata Hubbard Cheuoua
WestEd Senior Research Associate
Yvonne Kao

WestEd Senior Research Associate

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This material is based upon work supported by the National Science Foundation under Grant No. 2031314.