Preliminary Teaching Manual for Classroom IEP Support: An AI-assisted, Collaborative Delphi Inquiry

• In Event: AERA Roundtable Session Sunday 11:45 am - Gold 2
  In Roundtable Session: Technology and Innovation in Special and Education

Abstract

Teachers’ role in the classroom support of students on individual education plans (IEP) is expanding, varies widely, and often falls short of need. Using five rounds of collaborative, AI-assisted consensus building (Delphi method) among two researchers and four experienced Ontario special education teachers, an exploratory pre-test was conducted to develop a preliminary scope and sequence of a viable, feasible set of classroom activities to improve classroom supports for students on IEPs. Results drew upon teachers’ agreements regarding the strengths of the current approach (i.e., accurate tracking) and its persistent limitations (i.e., lack of student voice and agency and teacher engagement).

Authors

• Laurie Faith, University of Toronto - OISE

• Qiyuan Zheng, University of Toronto - OISE

• Lisa VanderKuip, University of Toronto - OISE

• Nadine Masengi, Edvance

• Samantha Price, Edvance

• Rebecca Dam, Edvance