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A best-fit framework synthesis of artificial intelligence in secondary education: review protocol

Year: 2026

Type: article

Abstract: Protocol for a best-fit framework synthesis examining how artificial intelligence is integrated in secondary education (ISCED 2–3), conducted as Task 8.1 of the GenAI project. The a priori framework crosses Bronfenbrenner's ecological levels with the five participatory intervention phases committed to in the project proposal. The protocol states the eligibility criteria, the search strategy for three databases, the nine exclusion reason codes, the tier definitions, the wave-1 sampling manifest that fixed the extraction sample before any full text was read, the appraisal approach (MMAT 2018 for research reports, AACODS for grey literature), the synthesis method, and a dated amendment log. The review is not registered in a registry of systematic reviews. Searches and title and abstract screening were complete before the protocol reached its final form, so prospective registration was never available. This record is a timestamped publication of the protocol, not a registration, and the protocol states which steps were already complete at that date.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24135089

Authors: Kaya, Gokhan, Sardag, Metin, Cakmakci, Gultekin

Institution: Kastamonu University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7225775641

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