EdTechnical

AI That Acts: What “Agents” Mean for Classrooms

Owen Henkel & Libby Hills

Use Left/Right to seek, Home/End to jump to start or end. Hold shift to jump forward or backward.

0:00 | 16:00

In this EdTechnical short, Libby and Owen unpack ‘AI agents’ and what they mean for education. Agents are large language models connected to tools and workflows that are allowed to take actions like searching, summarising, and completing multi-step tasks. Recent progress comes from the combination of stronger models and better systems for connecting agents to external tools, enabling more complex and autonomous outputs.

Applying agents to education brings a tension between flexibility and reliability. Agentic systems can be useful for teachers, who operate across varied contexts and need adaptable support. For students, especially in structured learning, too much flexibility can reduce clarity and introduce inconsistency.

This matters because effective learning depends on structure and progression. The value of agents in education depends on how well they are applied to the specific task and learning goal.

Links:


Join us on social media: 

Credits: Sarah Myles for production support; Josie Hills for graphic design; Anabel Altenburg for content production.