Assessment is often seen as a high-stakes event that causes anxiety and measures learning in narrow, one-dimensional ways. Traditional tests typically focus on summative snapshots rather than the full scope of a learner’s journey, reducing complex growth into a single grade or score. But what if assessment could instead be an ongoing, personalized process that supports growth, motivation, and mastery over time?
With the emergence of AI, combined with rich data frameworks, educators have the opportunity to capture a 360-degree view of student progress. This means moving beyond static scores to continuous, meaningful feedback that reflects individual learning paths and real-world skills. With these tools, learners can identify gaps, showcase authentic work, and engage more deeply with their own development.
This opportunity for a transformation in assessment could be one focused on personalized support and lifelong learning. As the boundaries between learning, work, and life blur, assessment can evolve to become less about judgment and more about empowerment—helping learners see where they started, where they are, and where they can go next.
Dive deeper into how AI is reshaping assessment and what the future holds for education in the latest episode of Inside the Learning Experience.
