Protect the validity of the evidence, not the appearance of the task.

Rethink assessment design, feedback, performance, academic integrity and evidence as technology and AI change what learners can produce.

• Evidence That Matters: Designing Digital Assessment — Design digital assessment from the learning claim backwards: choose valid evidence, use technology for a clear reason, reduce construct-irrelevant barriers and build feedback loops that change what happens next.
• Show Me the Learning: Portfolios, Performance & Authentic Evidence — Design richer evidence of learning through performance, portfolios, process traces, reflection and authentic products without losing validity, accessibility or manageable judgement.
• Feedback That Moves Learning — Design digital feedback loops that are timely, focused, actionable and built around what learners do next—not simply faster teacher comments.
• Is Technology Actually Helping? — Use practical evidence to decide whether a technology-rich learning design is improving access, thinking, feedback, collaboration or outcomes—and what to change if it is not.
• Assessment in an AI World — Examine assessment validity, formative and summative use, process evidence, feedback, grading and task redesign when generative AI can produce increasingly polished work.
• AI & Academic Integrity: Design, Don't Detect — Move beyond detector-led responses by clarifying AI expectations, collecting evidence of process and designing tasks that make learner thinking visible.