Human-Centric, AI-Assisted
Assessment Development
The Human‑Centric, AI‑Assisted Assessment Development Flow offers a responsible, pedagogically grounded approach to assessment design. It begins with clear learning outcomes and considered decisions about where human judgement or AI support is appropriate, guided by human‑centred AI principles. The process includes ethics and integrity checks, human‑led design enhanced by AI, and careful review, piloting, and bias testing to protect fairness and academic integrity. Assessments are delivered with ongoing human oversight and AI‑supported analytics, followed by reflection and continuous improvement to ensure ethical, learner‑centred practice.
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Define Outcomes -
Decide AI vs Human Roles -
Ethics & Integrity Check -
Human‑Led Assessment Design (AI‑Assisted) -
AI Generates Drafts & Human Reviews -
Pilot Test & AI-Resistance Test -
Delivery with Human Oversight & AI Analytics -
Feedback, Reflection & Continuous Improvement
References:
Schmager, S., Pappas, I. O., & Vassilakopoulou, P. (2025). Understanding Human-Centred AI: a review of its defining elements and a research agenda. Behaviour & Information Technology, 44(15), 3771-3810.
Li, H., Fang, Y., Zhang, S., Lee, S. M., Wang, Y., Trexler, M., & Botelho, A. F. (2025). ARCHED: A human-centered framework for transparent, responsible, and collaborative AI-assisted instructional design. arXiv preprint arXiv:2503.08931.
Fartusnic, R., Istrate, O., & Fartusnic, C. (2025). Beyond Automation: A Conceptual Framework for AI in Educational Assessment. Journal of Digital Pedagogy, 4(1), 10-61071.