A video lecture the student can stop and question.
Your instructor or your expert teaches on screen. Beside the lecture, an AI teaching assistant answers the student from the course. Here, “the student” means whoever takes the course, at a university or a company.
- On screen
- Your faculty or your experts
- Questions
- Asked by the student, or put to them
- Changes
- Made from the script
- Where it runs
- Any LTI-compliant LMS
The student can raise a hand, and can be called on.
The lecture plays with slides and captions, and the AI teaching assistant has a panel beside it.
Step 1
The student stops the lecture and asks
They pause at any point and type a question. The answer comes from the course and refers to the slide where they paused.
Step 2
The lecture stops and asks the student
At points chosen in the design, the lecture pauses on a task and hands over to the chat. The student is cold-called, as in a live class, and answers in writing.
Step 3
The answer gets a follow-up
The AI teaching assistant replies to what the student wrote, then asks one more question to check that the idea has landed.
The lecture is in their own face and voice, and it changes from the script.
Their own face and voice
The lecture shows your faculty or your experts, in their own face and voice, with their written agreement. The script and the points where the lecture stops are open to their review before a student sees them.
Updated from the script
Faculty or experts who choose to can record once. When the material changes, the lecture is updated from its script, without going back into the studio.
What they can see
They can open any student's progress and see what the AI teaching assistant said.
The lecture opens a sequence built for understanding.
- Interactive lecture
- Reading
- Knowledge check
- Reflection
The lecture teaches the framework, the reading anchors it, and the knowledge check shows what stuck. The student then restates it in their own words. The knowledge check in this sequence can count as an ordinary graded quiz in your LMS.
What sits around the lecture.
Knowledge checks & learning games
The knowledge check that follows a lecture. It can play as a game.
See knowledge checks
Reading & case studies
The reading that anchors what the lecture taught.
See reading and cases
AI tutors & coaches
The same help on a reading: an AI tutor the student can ask, in writing or out loud.
See AI tutors
Bring one lecture you already give.
Book a demo and bring a slide deck or a recording. We build an example from your own material, at no cost, before you decide.