Explainable and Transparent AI
Research on AI-enabled professional learning highlights the importance of transparency and explainability when teachers interact with automated systems.
How Easy Examiner applies this
- Mark scheme criteria used for evaluation are fully visible to teachers
- Reasoning behind every mark is clearly explained
- Feedback is linked to specific parts of each student response
- Question-by-question analysis is reviewable before marks are confirmed
Why this matters
Transparent AI systems allow teachers to interpret outputs confidently and critically, ensuring that assessment decisions remain informed by professional expertise.
Research source
National Institute of Teaching (2026). NIoT Evidence Toolkit: Artificial Intelligence enabled Professional Learning strand.