About
An ERA-curated thematic profile exploring how educators can design meaningful assessments when generative AI can produce increasingly sophisticated academic work. Sessions examine authentic assessment, evidence of learning, academic integrity, and approaches to evaluating student understanding, reasoning, and contribution.
Sessions
Beyond the Essay: Rethinking Academic Assessment
Traditional essays remain valuable, but they are not the only way to evaluate academic learning. This session explores alternative assessment approaches that can encourage critical thinking, reflection, problem-solving, and authentic demonstrations of student knowledge.
What Should We Assess When Writing Can Be Automated?
As AI-generated writing becomes increasingly accessible, the relationship between written assignments and demonstrated learning is changing. This session explores which skills and learning outcomes educators should prioritize when writing alone may no longer provide sufficient evidence of understanding.
Designing Assessment When AI Can Produce the Answer
When AI can generate convincing responses to traditional assessment tasks, educators need to reconsider how they evaluate student learning. This session explores assessment approaches that emphasize thinking processes, evidence of understanding, and meaningful application.
The Assignment Has Changed
Generative AI can now complete many traditional academic assignments, raising questions about what these tasks actually measure. This session explores how educators can rethink assignments to better evaluate learning, reasoning, and authentic student contribution.