An ethical framework integrating Experiential Learning Design with Bloom's revised taxonomy scaffolds GenAI-integrated journalism assessment¶

Design · All designs
Evidence · no claims cited

Description¶

The article presents a practice-based curriculum intervention built on an ethical framework that embeds GenAI into undergraduate journalism assessment. The framework "integrates Colin Beard's Experiential Learning Design with Bloom's revised taxonomy to scaffold students' movement from human-only reporting tasks to AI-integrated work and critical reflection." It serves as the organizing model for the assessment design, linking professional values to staged task progression.

Design Implications¶

Context¶

Requirements¶

Assessment tasks must be sequenced so students move from human-only reporting tasks to AI-integrated work and critical reflection

Constraints¶

Developed for undergraduate journalism education in a Malaysian campus of an Australian university

Target Learners¶

Undergraduate journalism students

Learning Goals¶

Ethical decision-making about GenAI use
Prompt engineering
Verification of AI outputs

Claims¶

A model linking Australian and institutional quality expectations to GenAI realities in Malaysian-campus journalism education

Examples¶

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Key Sources¶

Ngu, I. Y., & Weller, D. (2026). From Classroom Design to Newsroom Practice: Designing GenAI Assessment Intervention. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/4281ht04

Page metadata

Field	Value
`type`	`design`
`id`	`genai-journalism-assessment-ethical-framework`
`title`	`An ethical framework integrating Experiential Learning Design with Bloom's revised taxonomy scaffolds GenAI-integrated journalism assessment`
`description`	`The article presents a practice-based curriculum intervention built on an ethical framework that embeds GenAI into undergraduate journalism assessment.`
`status`	`review`
`generated`	by `process:settle-candidates` on `2026-10-12`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `ngu-2026`

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