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

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.

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Publication Details

Journal
Journal of Educational Computing Research
Published
2025-09-15
DOI
https://doi.org/10.1177/07356331251377430
Citations
11
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
18.63
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article

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

Jordan Allison
11 citations
Journal of Educational Computing Research
Online Learning and Analytics
18.63
article

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

Jordan Allison
article en
11 citations

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.

Journal of Educational Computing ResearchVol. 64(1)
University of Gloucestershire (GB)
Openalex Percentile: Top 1%
Online Learning and Analytics
18.63
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RAISE the Standard: A Framework for Transparent Reporting of Artificial Intelligence Studies in Education — Jordan Allison · Journal of Educational Computing Research (2025) | TGRS Research Map | TGRS