How to review your English student's speaking with artificial intelligence

Reviewing an English student's speaking is the task that most easily slips out of a private teacher's control. Speech goes by fast, there is no text to mark up with a red pen, and by the time the lesson ends you are already getting ready for the next student while trying to remember that one pronunciation stumble that seemed important fifteen minutes ago.

This post is about what changes when artificial intelligence enters that process. Not as an abstract promise, but in the specific case of reviewing a student's speech after the lesson without having to listen to everything again.

Why reviewing speaking is different from reviewing writing

When a student writes a text, correcting it is comfortable. You read at your own pace, mark the verb tense, underline the wrong collocation, suggest a better word in the margin. There is a physical artifact to work on.

Speaking has none of that. The student's speech happens live, in a continuous flow, with hesitations, self-corrections, partial pronunciations, repetitions. You have to decide in real time whether to interrupt and correct or let it slide so you do not break their fluency. If you let it slide, the mistake evaporates along with the rest of the lesson.

And even what you remember after the lesson is biased. You will remember the funny mistake, the annoying mistake, the mistake that came up three times in a row. You will not remember the subtle pattern that showed up twice at distant moments of the conversation, which is exactly the kind of thing an advanced student needs someone to point out.

How most teachers try to solve this today

There are three common solutions on the market, and none of them scales.

The first is the notepad during the lesson. The teacher jots things down in a notebook or in a doc open on a second screen every time they hear a pronunciation or grammar mistake. It works up to a point. The problem is that splitting your attention between talking to the student and typing corrections in parallel degrades the lesson. You end up noting less than you should or listening less than you should.

The second is to record the lesson and review it later. Here the teacher turns on Google Meet or Zoom in recording mode, downloads the MP4, and at some point during the week opens the video to do a more serious round of corrections. This solves the loss of information, but it creates another problem: reviewing a one-hour lesson takes an hour. Multiply that by 15 students a week and the math does not work. Almost no one actually does it.

The third is to ask the student to record their own speech at home in an audio app and send it to you to correct. This does work for a one-off exercise, but it does not address the speaking from the lesson itself, which is the moment they are really having a conversation in English.

What was missing from these approaches

What all of these alternatives have in common is that they still require the teacher to do the heavy lifting manually. Either the teacher listens to the lesson again, or listens while teaching it, or listens to a parallel version recorded at home. In every case, it is the teacher's ear time.

What was missing was an intermediary that turned speech into something navigable and analyzable. Something that answered questions like:

• Which words did the student mispronounce or seem to hesitate over?
• Which grammatical structures did they get wrong, and at what point in the lesson?
• How has their speaking time evolved compared to recent lessons?
• What new vocabulary came up in today's conversation?

To answer these questions, the audio has to become text first, with a clear sense of who said what. After that step, correcting speaking stops being an auditory task and becomes a textual one. You review the student's speech the same way you review a text they wrote, marking specific passages with a timestamp so you can jump back into the audio if you want to confirm a pronunciation.

That is the leap artificial intelligence enables in speaking review. Not replacing the teacher's pedagogical instinct, but giving them a textual layer to apply that instinct on, at their own pace, after the lesson, without listening to everything again.

How a good speaking review tool needs to work

For this flow to actually work for the independent teacher, a few things need to be handled:

• The transcription needs to separate the teacher's speech from the student's speech. Without that, you read one single block of text and lose the whole point, which is to look at the student's speaking specifically.
• The transcription needs timestamps so you can jump back to the exact moment in the audio when a written passage does not make it clear whether it was a pronunciation mistake or just capture noise.
• The processing needs to be automatic and fast. If the teacher has to upload a file to some website, wait, download it, and open it in another tool, they will give up before the third lesson.
• The analysis needs to highlight areas to improve without making the teacher read the entire transcription. A student who talked for fifty minutes turns into a lot of pages. The AI has to point out where to look first.

How Noladi handles speaking review with AI

Noladi is a platform where a language teacher gives the lesson straight from their own live class, with their own brand and their own domain. The lesson is recorded by default, and right after it ends the post-class pipeline processes everything automatically.

Each participant is transcribed separately, so the student's speech becomes text that is independent from the teacher's speech. On top of that transcription, the AI generates a post-class review with the areas to improve that are worth looking at before the next session, and stats like speaking time and new vocabulary show up alongside it to give context.

All of this lives in the student's dashboard too, with the teacher's brand. The student sees the review of their own lesson and realizes someone is genuinely paying attention to their speaking, not just handing out generic end-of-lesson feedback. For the teacher, it turns the review of a one-hour lesson into a few minutes of focused reading on the points that matter.

Get to know Noladi

If you are a private language teacher and want to test how reviewing speaking with AI changes your post-class flow, you can create a free account on Noladi and try the live class with post-class review included. The management plan is free forever, and the classroom has a subscription starting at R$ 39.90 per month.

Check it out at noladi.app/teacher.