AI Assisted Feedback: Findings from a small-scale pilot at UIT
THIS IS RELEVANT TO YOU BECAUSE:
- You are exploring AI’s role in assessment and want evidence from a real‑world university pilot.
- You need insights into student and teacher perceptions, including clarity, relevance, and usefulness of AI‑generated feedback.
- You’re evaluating how AI can scale formative feedback, reduce workload, or support large cohorts without sacrificing quality.
- You want to understand practical considerations, such as prompting, timing, and maintaining human oversight.
A FIRST LOOK AT WHAT'S INSIDE...
As interest in AI‑supported assessment grows, universities are looking for practical, evidence‑based insights into how AI can enhance feedback without compromising academic integrity or teaching quality. This business case explores a small‑scale pilot conducted at UiT, The Arctic University of Norway, where an AI‑assisted feedback module in WISEflow was tested in a real teaching context within immunology. Six dentistry students submitted written responses, and the AI module generated structured feedback aligned with uploaded marking criteria and a consistent prompt.
The white paper highlights how students perceived the clarity, relevance, and usefulness of AI‑generated feedback, and how timing in the learning cycle shapes its impact. It also presents the teacher’s perspective on the quality, consistency, and feasibility of using AI for formative feedback, particularly when scaling personalised responses across larger cohorts. The document sheds light on practical considerations, such as prompt design, expectation management, and when human oversight remains necessary.
For institutions exploring how AI can support better learning outcomes, reduce workload, or enhance formative assessment practices, this business case provides grounded, research‑informed insights from an authentic pilot setting.