AI enhanced feedback: a systematic review to explore the current state of the art

Dataset documents the article selection process carried out for the systematic literature review entitled “AI enhanced feedback: a systematic review to explore the current state of the art.” It contains the complete screening log used to identify, assess, and include empirical studies focused on AI-based feedback in educational contexts, published between 2021 and 2025. The dataset includes the following information for each record: Authors and title Year of publication Source database (ERIC, Scopus) Relevance screening (Title/Abstract) Full-text eligibility assessment Inclusion/exclusion decisions Reasons for exclusion (when applicable) Final selection outcome The file reflects the application of the PRISMA methodology and provides full transparency of the selection workflow. It supports the reproducibility and rigour of the review process and may be used as a reference for future systematic reviews in the field of educational technology, feedback, and artificial intelligence.