Allison, Jordan ORCID: 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)
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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 |
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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 |
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