Coding-focused GenAI declaration structure with five activity categories¶
Design · All designs
Evidence · no claims cited
Description¶
A parallel declaration structure for coding assessments reflecting typical phases of software development and code-based learning, with five activity categories: Planning & Design, Code Generation, Code Improvement, Understanding & Learning, and Documentation & Reporting. As in the writing structure, students indicate whether GenAI was used and to what extent, with a short description and example prompts. The structure lets students and instructors "distinguish between GenAI as a learning aid (e.g., understanding error messages) and GenAI as an authoring tool (e.g., generating core solution code)".
Design Implications¶
Context¶
Requirements¶
- Students complete per-category use, extent, and description fields; institutional guidance on tool scope is recommended by the authors
Constraints¶
- Derived from a computing-education taxonomy; relies on accurate self-reporting in a context where students may misattribute GenAI contributions
Target Learners¶
- Computer Science students in programming-based assessments, from novices learning Python syntax to degree apprentices debugging legacy codebases
Learning Goals¶
- Transparent disclosure of GenAI use in coding tasks
- Distinguishing GenAI as learning aid versus authoring tool
Claims¶
Related Designs¶
Examples¶
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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 |
design |
id |
coding-focused-genai-declaration-structure |
title |
Coding-focused GenAI declaration structure with five activity categories |
description |
A parallel declaration structure for coding assessments reflecting typical phases of software development and code-based learning, with five activity categories: Planning & Design, Code Generation, Code Improvement, U... |
status |
review |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — nicholas-micallef-2026 |
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