MIT Teaching Systems Lab
People & Projects Working at MIT TSL with
Justice and equity issues affect all aspects of our society, and even teachers who care deeply about their students may not recognize all of the ways that bias can impact their teaching.
Explore mindsets and practices that help all students, especially underserved students, to thrive and feel valued.
The PACE-HS Fellowship Project is a researcher-practitioner partnership between school districts, MIT Teaching Systems Lab, UMass Boston, and the Massachusetts Association of School Superintendents to develop exemplar programs of equitable CS curriculum pathways, professional development, and ongoing evaluation.
Innovative New Spaces for Practice and Rehearsal Teacher Education (INSPIRE) Computer Science (CS) – Artificial Intelligence (AI) or INSPIRE CS-AI is new year-long fellowship program for CS teacher educators lead by faculty and staff at the MIT Teaching Systems Lab and Carnegie Mellon University.
Across the country, schools see persistent gaps in achievement and outcomes between different groups of students. The way schools approach issues of race, culture, gender, and ability all contribute to the success of our students. How can educators develop the tools, practice and confidence they need to address inequity in their own contexts?
MIT’s Teaching Systems Lab (TSL), with support from the Woodrow Wilson National Fellowship Foundation, is excited to announce the recipients for the 2018-2019 Teaching and Learning Innovation Grant (TLIG).