AI whiteboard tutors: what to look for in a lesson

What should an AI whiteboard add to a lesson?

A board gives a learner something to refer back to while the explanation develops. In algebra, that might be the operation applied to both sides of an equation. In science, it might be a labelled diagram whose arrows show a process. In a writing lesson, it could be a claim with the evidence placed underneath.

The IES practice guide on instruction and study recommends combining graphical and verbal descriptions and linking concrete and abstract representations. These recommendations concern instructional design; they do not establish the effectiveness of a particular AI product.

When evaluating a lesson, ask what each visual element helps the learner do. A diagram should support an explanation or question. Decorative motion can be attractive, but it should not crowd out labels or make an earlier step disappear before the student has used it.

A worked distance-time graph lesson

Use a simple journey: a walker travels 10 metres in 5 seconds at constant speed, then stops for 3 seconds. The lesson objective is to interpret the slope of a distance-time graph. Specify that the walker continues along the same direction during the moving segment so the example remains unambiguous.

The board and explanation should refer to the same segment at the same moment. Ask the learner to predict a line before revealing it. Then provide a different graph and ask for an explanation without copying the completed example.

This is a suggested evaluation exercise, not a claim that every whiteboard tutor supports every graph operation. Bring the example to a demo and inspect the actual output.

Test what happens when the learner is confused

Submit a plausible misconception: “The flat part means the walker went back to the start.” Useful feedback directs attention to the unchanged distance and the continuing time. It should then ask a question that checks whether the learner has revised their interpretation.

Try a second kind of difficulty: “I cannot read the vertical label.” That is a presentation problem, not evidence of weak physics knowledge. Review how the learner can inspect the board, adjust their experience or obtain clarification on the device they will use.

A practical checklist for comparing tutors

• Are symbols, units and diagram labels consistent with the source material?
• Does the explanation refer clearly to the visible part of the board?
• Can learners answer by the input method available to them?
• Does a hint address their mistake before the lesson reveals the solution?
• Can teachers review the lesson and correct unclear material before release?
• Does an interruption or resumed session preserve enough context to continue?

Ask the same questions across products using your own chapter. A vendor's showcase topic may not expose the notation, language or diagram complexity of your course. The broader AI tutoring software checklist covers other purchasing considerations.

Evaluate one real chapter before expanding

Select a chapter with a known misconception and a short independent assessment. Review the board, run a small learner trial and collect questions students could not resolve. Compare their independent explanations with the target objective, rather than relying on lesson completion alone.

Keep teacher preparation time in the record. A useful pilot tells you both whether the lesson supports learning and how much effort is required to keep its visual material accurate. Our learning analytics guide explains how to turn those observations into follow-up teaching.