ChatGPT as a feedback tool for read-aloud questions: Preservice teachers’ experience and perceptions

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Authors: Carin Appleget, Shuling Yang
Cited by: 3
References: 27

Abstract

This study explored how preservice teachers evaluated peer and ChatGPT-generated feedback for Question-Answer Relationship questions written for a picture book read-aloud. Grounded in Vygotskian theory and reciprocal teaching, the learning event was scaffolded so PSTs wrote questions, engaged in dialogic feedback with a peer, and were then guided to prompt ChatGPT for feedback for their questions. Results indicated that while PSTs valued social interaction and collaboration with peers, they appreciated the potential advantages of using AI to complement feedback because it was faster, descriptive and depersonalized. Researchers highlight the importance of approaching GenAI as a dialogic partner—one that requires thoughtful prompting, ongoing refinement, and critical engagement.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education AI in Service Interactions Intelligent Tutoring Systems and Adaptive Learning

Publication details

Journal / source
Journal of Digital Learning in Teacher Education
Publisher
Informa UK Limited
Volume
42
Issue
1
Pages
45–58
Publication date
2 January 2026
Language
EN