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RAISE 2025 Reporting Examples and Explanation document

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Evidence · no claims cited

Description

A supplementary RAISE guidance document providing side-by-side bad and good reporting examples and explanations to help authors produce clear, transparent, aligned, and reproducible AI-focused educational research reports.

Components

  • RAISE 2025 Reporting Examples and Explanation document with Bad and Good examples: A supplementary document supporting application of the checklist. The article explains: "This document presents side-by-side “Bad” and “Good” reporting examples for each checklist item, accompanied by explanations that illustrate how to achieve clarity, transparency, and alignment with educational objectives." By contrasting insufficiently detailed approaches with good practice, it demonstrates how RAISE can be operationalised, helping authors anticipate reporting gaps and improve reproducibility, interpretability, and impact of AI-focused educational research. (Allison (2026))

Claims

Key Sources

  • Allison, J. (2026). RAISE the Standard: A Framework for Transparent Reporting of Artificial Intelligence Studies in Education. Journal of Educational Computing Research, 64(1), 3-15. https://doi.org/10.1177/07356331251377430
Page metadata
Field Value
type product
id raise-2025-reporting-examples-and-explanation-document
title RAISE 2025 Reporting Examples and Explanation document
description A supplementary RAISE guidance document providing side-by-side bad and good reporting examples and explanations to help authors produce clear, transparent, aligned, and reproducible AI-focused educational research reports.
status review
product_kind framework
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content

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