OUR THINKING / A DEVELOPING QUESTION

Learning when AI
can produce the answer.

A completed task can tell a teacher less about a learner’s understanding when AI has contributed to the work. That changes what a useful task and a useful check might look like.

Which thinking needs practice?

We ask which knowledge and reasoning the learner needs to develop, where AI could contribute, and what the learner will do with its output. The answer depends on the subject and the learning goal.

A learner might use AI to compare explanations, then apply an idea to a new example without it. Another task might assess how well the learner checks an AI response. These tasks examine different things, so the instructions and assessment need to make the distinction clear.

A question for teaching and research

Connectivism, proposed by George Siemens in 2005, examined learning through networks and digital resources. AI adds questions about which thinking people practise and which they delegate.

Research on human–AI hybrid intelligence informs our interest in people learning with AI. We are exploring how assistance can expand what learners do while preserving opportunities to develop understanding they can explain and apply independently.

This is a developing research question. Our workshop designs do not establish a new learning theory or demonstrate improved learning.