_EduAI
Purposeful, conscious, effortful integration. Take what comes from outside, a book, a conversation, an AI output and do the work of making it yours. Test it against experience. Reconcile it with what you already believe. Change your mind when you must and know why you are changing it. Be able to trace the path.
This is authenticity. Not purity of origin. Purposeful integration.
A person who writes with AI is not less authentic than a person who writes alone. A person who cannot explain their reasoning, who has lost the thread of their own integration, who has become a conduit for unassimilated outputs, has lost something essential, regardless of tools.
Our findings demonstrate that the GenAI-assessment challenge exhibits all ten characteristics of wicked problems. For instance, it resists definitive formulation, offers only better or worse rather than correct solutions, cannot be tested without consequence, and places significant responsibility on decision-makers. In the light of this redefinition of the AI and Assessment problem, we argue that educators require certain institutional permissions – including permission to compromise, diverge, and iterate – to appropriately navigate the assessment challenges they face.
Compromise: It allows educators to state plainly that this assessment prioritizes X at the expense of Y, and here is why. It transforms institutional culture from one that punishes imperfection to one that learns from it. When we stop seeking perfect solutions, we can start having honest conversations about which trade-offs serve our students best, which failures taught us most, and how to be thoughtfully imperfect rather than accidentally inadequate.
Permission to Diverge: At its core, ‘permission to diverge’ means accepting that successful practices in one educational context need not – and often should not – be replicated elsewhere. It is the recognition that divergent approaches to common challenges can reflect contextual wisdom rather than inconsistency or failure. By granting ourselves permission to diverge, we acknowledge that different contexts might require quite different responses. This recognises that quality manifests differently across years, disciplines, cohort sizes, and professional destinations. The business educator who integrates AI because employers demand it and the nursing educator who restricts it to ensure clinical competence are both appropriate. Divergence can reflect wisdom that we can easily mistake for confusion. This permission transforms institutional expectations from uniformity to fitness for purpose. Divergence becomes a sign of thoughtful response rather than institutional failure.
Permission to iterate: When AI capabilities transform monthly, when student behaviours shift each semester, and when professional requirements evolve constantly, the result can be that educators design assessments for yesterday’s technology, implemented with today’s students, preparing for tomorrow’s unknowns. Permission to iterate recognizes that wicked problems evolve continuously, making fixed solutions obsolete.
The permission to iterate recognizes wicked problems evolve continuously, making fixed solutions obsolete. This permission transforms assessment from a product to be delivered to a practice to be refined.
The path forward requires abandoning the search for silver bullets in favour of developing adaptive capacity. This means creating institutional structures that support educator decision-making rather than mandating uniform responses, recognizing divergent approaches as evidence of contextual wisdom rather than institutional inconsistency, and treating assessment iteration as professional development rather than design failure.