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Three-principle framework for ethical GenAI integration in writing assessment: transparency, human mediation, reflective practice

Design · All designs
Evidence · no claims cited

Description

The paper proposes "a three-principle framework (transparency, human mediation, reflective practice) for ethical GenAI integration in writing assessment." Transparency functions not merely as disclosure but as a pedagogical strategy that surfaces learners' assumptions, concerns, and values regarding GenAI. Human mediation reflects participants' positioning of the instructor as the appropriate authority over grading decisions and a safeguard against AI error. Reflective practice reflects the post-assessment reflective design in which students examined the evaluation itself.

Design Implications

Context

Requirements

  • GenAI evaluation must be aligned with a rubric-based prompt tied to task objectives; students must be explicitly informed that an AI generated the feedback and score

Constraints

  • Proposed within the bounded context and sample of this study; the authors acknowledge other tools may offer enhanced data-protection guarantees and institutional policies on AI tool selection are evolving rapidly

Target Learners

  • undergraduate students in higher education writing courses

Learning Goals

  • critical engagement with AI-mediated feedback and assessment

Claims

Examples

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Key Sources

  • Rayed AlGhamdi. (2026). Who Should Grade My Work? Student Perspectives on Transparent AI-Assisted Writing Assessment in Higher Education. https://orcid.org/0000-0002-6277-2124
Page metadata
Field Value
type design
id three-principle-framework-genai-writing-assessment
title Three-principle framework for ethical GenAI integration in writing assessment: transparency, human mediation, reflective practice
description The paper proposes "a three-principle framework (transparency, human mediation, reflective practice) for ethical GenAI integration in writing assessment." Transparency functions not merely as disclosure but as a pedag...
status review
generated by process:settle-candidates on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — rayed-alghamdi-2026

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