How to use artificial intelligence to review language lessons
How Noladi generates an automatic review of every lesson based on the full transcription, surfacing the moments worth picking up in the next session with your student.
Almost every language teacher knows the feeling that hits right after an online lesson. The session is over, the tiredness sets in, the next student is already arriving, and that hour full of small but important moments starts to evaporate. Recurring little mistakes, words the student stumbled over, stretches where their speaking time dropped, questions that got pushed to the background. All of it is still fresh while the lesson is happening, but it rarely survives the gap between one lesson and the next.
That is the problem Noladi sets out to solve with its post-class AI layer.
What Noladi's AI does with a lesson
Every lesson taught in Noladi's live classroom is recorded by default. As soon as it ends, the recording is split into separate tracks, one for the teacher and one for each student present, and sent into the post-class processing pipeline.
This pipeline has very specific stages:
- Per-participant transcription. Each track is transcribed individually, keeping track of who said what in every passage.
- Suggestions generated from the lesson. A model reads the full transcription, with roles preserved, and produces a structured review of the session.
- Statistics. Speaking time per participant, most frequent questions, and the vocabulary covered during the lesson.
The result is available for the teacher to review before the next session with that specific student.
Why this flow matters for the language teacher
There is a practical difference between having a recorded lesson and having a reviewed lesson.
The recording answers "what happened." The review answers "what is worth working on next." Noladi aims to deliver that second step without the teacher having to open the lesson video and take notes during a second hour of work.
For anyone teaching several lessons in a single day, this payoff is bigger than it looks. The teacher walks into the next session with the student already holding:
- The points from the last lesson that deserve to be revisited;
- A review suggestion tailored to that student's level and history;
- A consultable record to talk about progress, whether with the student or with parents.
None of this depends on the teacher remembering everything by heart or pausing the lesson midway to jot things down.
How the student sees it
On the student's side, the AI review does not replace the teacher, it extends what the teacher is able to deliver. After the lesson, the student receives a summary of the session with the points covered and personalized suggestions. Anyone on a lesson package watches this material build up as a real record of progress, rather than a folder of loose files from old recordings.
This is the kind of deliverable that sets a one-off lesson apart from an ongoing course, and that historically took a lot of manual effort from the teacher to exist.
How to get started
The post-class AI is part of Noladi's subscription plan and runs automatically whenever a lesson is taught in the live classroom. There is nothing to configure per lesson: just teach the lesson through Noladi's classroom and the pipeline takes care of the rest, ready for you the next time you open the student panel.
If you want to see how this flow looks in practice, it is worth creating a Noladi account and teaching a test lesson with the post-class AI enabled to understand the kind of output you get afterward.
