AI as Reflective Partner: Analyzing Pre-Service Teachers' Growth in ELL Instruction

• In Event: AERA Poster Session Wednesday 7:45am
  In Poster Session: Teaching with and through AI: Reimagining Classroom Practice

Abstract

This qualitative content analysis explores how teacher candidates develop competencies to support English Language Learners (ELLs). Researchers analyzed written responses from three cohorts at a Predominantly White Institution (PWI) to an ELL Key Assessment that integrated artificial intelligence as a scaffolding tool for reflection. Four themes were identified: 1) recognition of ELL linguistic assets, 2) use of Science of Reading strategies for ELLs, 3) scaffolded reflection through AI, and 4) ongoing gaps in cultural responsiveness. Findings suggest that AI-mediated reflection can enhance pedagogical reasoning and support culturally responsive teaching. This study contributes to research on innovative, technology-enhanced reflective practices in teacher education that prepare candidates for diverse classrooms.

Authors

• Donna Wake, University of Central Arkansas

• Nykela Jackson, University of Central Arkansas

• Lisa Mack, University of Central Arkansas