How-to guide

How to run microteaching practice: a step-by-step guide for teacher educators

Microteaching shrinks teaching to one skill and about five minutes so a trainee can get feedback and teach again. The cycle is plan, teach, feedback, re-teach. With large cohorts faculty cannot observe everyone, so AI student practice covers the early rounds.

Choose one skill

Pick a single skill such as opening a lesson, questioning or handling a misconception. Trying to practise everything at once makes feedback vague.

Plan and teach

The trainee prepares a short lesson on one concept, then teaches for about five minutes to peers or an AI class.

Feedback and re-teach

Feedback should name one strength and one change. The trainee then teaches again immediately, because the second attempt is where learning happens.

Scale with AI

A cohort of 100 practising seven skills produces more than 700 sessions. AI students handle the early rounds and faculty review samples and the final round.

Common mistakes

Common mistakes are covering too many skills, giving long feedback and never re-teaching. Keeping each cycle short fixes most of them.

Sample exchange

Feedback in one strength, one change

FacultyYour opening connected well with the pupils' homes.

TraineeThank you.

FacultyOne change: ask a question before you explain.

TraineeI will ask what happens to a puddle in the sun, then re-teach.

Illustrative script written to show the format. It is not a transcript of a real learner.

Frequently asked questions

How long should a microteaching session be?+

Around five minutes per attempt.

How many skills should I cover?+

One per cycle.

Does AI replace peer feedback?+

No. Peer and faculty feedback remain valuable for later rounds.

Teachrity supports practice and evidence. Consequential decisions, such as grades, certification or hiring, stay with accountable people at the institution or employer.

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