RAISE the Standard: A Framework for Transparent Reporting of Artificial Intelligence Studies in Education

Allison, Jordan ORCID logoORCID: https://orcid.org/0000-0001-8513-4646 (2025) RAISE the Standard: A Framework for Transparent Reporting of Artificial Intelligence Studies in Education. Journal of Educational Computing Research. doi:10.1177/07356331251377430 (In Press)

[thumbnail of 15323 Allison, J. (2025) RAISE the Standard A Framework for Transparent Reporting of Artificial Intelligence Studies in Education.pdf]
Preview
Text
15323 Allison, J. (2025) RAISE the Standard A Framework for Transparent Reporting of Artificial Intelligence Studies in Education.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (613kB) | Preview

Abstract

The rapid integration of artificial intelligence (AI) into educational research and practice has highlighted the need for clear and consistent reporting standards. The RAISE (Reporting AI Studies in Education) framework offers a structured checklist of 30 items across ten thematic domains, designed to guide authors in transparently documenting AI interventions, study design, learner context, data collection, outcomes, and findings. This editorial introduces RAISE, explains its rationale, and provides practical guidance for its application, including illustrative “Bad” and “Good” reporting examples. By promoting comprehensive and replicable reporting, RAISE aims to enhance the interpretability, reproducibility, and scholarly impact of AI-focused educational research, while supporting authors in meeting emerging expectations for transparency in the field.

Item Type: Article
Article Type: Editorial
Uncontrolled Keywords: RAISE framework; AI in education; AI interventions; Reporting standards; Transparency reproducibility
Subjects: L Education > L Education (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Schools and Research Institutes > School of Business, Computing and Social Sciences
Depositing User: Kamila Niekoraniec
Date Deposited: 18 Sep 2025 09:50
Last Modified: 30 Sep 2025 09:30
URI: https://eprints.glos.ac.uk/id/eprint/15323

University Staff: Request a correction | Repository Editors: Update this record

University Of Gloucestershire

Bookmark and Share

Find Us On Social Media:

Social Media Icons Facebook Twitter YouTube Pinterest Linkedin

Other University Web Sites

University of Gloucestershire, The Park, Cheltenham, Gloucestershire, GL50 2RH. Telephone +44 (0)844 8010001.