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

Jordan Allison

2025Journal of Educational Computing Research16 citationsDOIOpen Access PDF

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.

Topics & Concepts

Transparency (behavior)Computer scienceThematic analysisChecklistKnowledge managementData scienceApplications of artificial intelligenceManagement scienceEducational assessmentEducational researchBest practiceThematic mapEngineering ethicsBusiness intelligenceEducational technologyStandardizationDocumentationQualitative researchBig dataHigher educationArtificial intelligenceOnline Learning and AnalyticsExplainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI