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Domain-specific GenAI declaration framework translating an activity taxonomy into task-specific disclosure instruments

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Description

A Computer Science higher-education framework developed by Nicholas Micallef for structuring students' disclosure, explanation, and reflection on GenAI use in writing and coding coursework.

Components

  • Frame GenAI declarations as reflective instruments rather than compliance artefacts, using granularity, task specificity, intensity, prompt transparency, and reflection over punishment: The framework is guided by five principles that "collectively shift declarations from compliance artefacts to reflective instruments": granularity over a binary yes/no; task specificity; intensity as well as presence (Minor, Moderate, Extensive); prompt-level transparency via brief explanations and example prompts; and reflection over punishment, framing the declaration "as a description of process, not an admission of guilt". The last principle responds directly to empirical evidence that students avoid declaring GenAI use when they perceive the form as a penalty mechanism. (Nicholas Micallef (2026))

Claims

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Key Sources

  • Nicholas Micallef, Olga Petrovska. (2026). Structuring Transparency: Developing Domain-Specific Generative AI Declaration Frameworks in Higher Education. International Symposium on Artificial Intelligence and the Transformation of Higher Education Symposium (AITHE). https://www.swansea.ac.uk/staff/nicholas.micallef
Page metadata
Field Value
type product
id domain-specific-genai-declaration-framework-translating-an-activity-taxonomy-into-task-spe
title Domain-specific GenAI declaration framework translating an activity taxonomy into task-specific disclosure instruments
description A Computer Science higher-education framework developed by Nicholas Micallef for structuring students' disclosure, explanation, and reflection on GenAI use in writing and coding coursework.
status review
product_kind framework
generated by process:settle-candidates on 2026-10-10
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