Denmark Mandates Oral Defenses for Take-Home Exams

The oral-defense requirement covers written exams completed at home. The Guardian reported that schools are also being encouraged to move more written assignments into controlled, in-school settings, where student work can be supervised.

The announced measures also address the digital environment in which assessments occur. CNN reported that the ministry called on schools to use screen-monitoring tools during exams and a firewall to filter accessible online content during exams and lessons. Euronews likewise reported oral defenses, screen monitoring during written tests, and web filtering as elements of the new rules.

The ministry's framing is notable because it combines authorship verification with restrictions on tool access. An oral defense can test whether a student understands and can explain submitted work, while supervised writing and web controls seek to limit unobserved use of generative systems during assessment.

The measures take effect as Denmark's schools return after the summer break, according to the Guardian. Heunicke also said, in comments reported by CNN, that he would engage schools, teachers, and students on short- and longer-term steps so AI does not undermine students' skills, academic abilities, and capacity for independent thought.

Danish upper-secondary organizations representing school leaders, teachers, and students welcomed the intervention while seeking longer-term solutions, CNN reported. Anders Frikke, chair of the Danish Association of Upper Secondary School Teachers, said teachers appreciated the minister's rapid action but had additional proposals for consideration.

Euronews noted that Denmark had previously experimented with permitting AI use in English oral tests in upper-secondary education. That context illustrates a broader assessment-design problem rather than a simple technology ban: educators must distinguish permitted AI-supported work from work whose authorship and understanding cannot be reliably established.

For ML and education-technology practitioners, the development highlights assessment approaches that combine process evidence, supervised environments, and live explanation rather than relying solely on finished text. Such approaches evaluate demonstrated understanding directly, but they can also increase operational demands on teachers and institutions.