Year: 2026
Type: article
Study design: Clinical Trial
Abstract: This study examines the role of AI peer reviewers in evaluating preservice teachers’ guided reading lesson plans at a U.S. university. A quasi-experimental design compared two groups: one receiving traditional human peer reviews and another using ChatGPT as a peer reviewer. Data sources included peer review reports and student survey responses. Grounded in the Zone of Proximal Development and effective feedback literature, the study investigates how AI feedback influences critical thinking and engagement during lesson planning. It also explores preservice teachers’ attitudes toward AI versus human feedback. The findings demonstrate both the advantages and disadvantages of AI-generated feedback which provides valuable information about its effectiveness and trustworthiness in teacher preparation. The study adds to the discussion about implementing AI in teaching methods and the changing nature of peer review in teacher training programs.
Source: Cogent Education
Authors: Gui Ying Annie Yang-Heim, Xi Lin
Institutions: Illinois State University, East Carolina University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $1,165
OpenAlex ID: W7138128930