For professors and their students

Create once. Teach every learner.

Professors bring the lectures they already have. Lectaive keeps their content as the source of truth and builds an adaptive learning experience around it, reviewed and approved before a student sees it.

Get started See how it works

Professor

Bring what you already teach

Slides
Notes
Recording
Video

Lectaive

Prepares the lecture

Keeps your content as the source of truth
Prepares one shared transcript for review
You review and approve before publishing

Students

Same lecture. Different support.

Comfortable with thisNo extra support
Explain the symbolsNotation support
Show me an exampleWorked example
Use plain languageClearer wording
Walk me through itStep by step

One professor-approved lecture. The same required content for everyone. Extra explanation only where it helps.

How will you use Lectaive?

For students

Your professor's lecture, with support where you need it

Every student gets the same professor-approved transcript. Lectaive reads how you learn and adds explanation between your professor's sentences when it judges that it helps. The slide and your professor's words stay exactly as they were.

The slide

The bias-variance tradeoff

Total error decomposes into three parts
Bias: error from an over-simple model
Variance: sensitivity to the training sample

Unchanged for every student. Lectaive never edits the file your professor uploaded.

What this student hears

Illustrative example

Every model carries two different kinds of error, and reducing one tends to increase the other.

Expected error = bias² + variance + irreducible error.

Read bias² as the error left by assumptions that are too simple, squared so it is always positive. Variance is how much the fitted model moves when the training sample changes.

So a model that is too simple and a model that is too flexible can both predict badly, for opposite reasons.

Your professor's sentences are the fixed text. The tinted lines are the explanation Lectaive added around them.

Learning context

Management, new to the subject. Academic area is one signal among several, and it never decides which transcript a student gets.

Subject familiarity

Math support

Explanation

Detail

Plain language

1 explanation added

Same slide, same professor transcript, either way.

Example copy, written by hand. The five learners are illustrations, not real students. Lectaive keeps every definition, formula and required term the professor confirmed, and added explanation is checked against them before a student sees it.

After approval

One approved lecture, many ways to learn

Personalized support changes only what extra explanation is useful. This is the other half: how the same lecture can be studied. Every path below starts from the same professor-approved content.

Approved lecture✓ Professor reviewed

Same approved content behind every path. Lectaive can add support where it helps, and you choose how you want to learn.

The student loop

A learning loop grounded in your course

Learning does not stop when the lecture ends. Ask, practise, listen and say what did not land, and Lectaive uses those signals to make its future support more useful. Your professor's approved content stays exactly as they wrote it.

Professor-approved lecture

Stays exactly as approved. Nothing below rewrites it.

and round to your next lecture: back to Learn

Learn

You open the slide and the approved transcript, and listen to it read aloud if that helps.

Your activity shapes the support, never the course content.

Progress and feedback tune Ask AI, AI Voice and Study Space. They do not change the slide, the approved transcript, or anything your professor marked as required.

The whole system

The Lectaive learning loop

Professor-approved content anchors everything. Students learn, ask, practise and give feedback, Lectaive uses the relevant context to make its future support more useful, and instructors get insight into how the learning is going.

Course contentStable. Only you change this.

Support around itAdapts per student, within what you approved.

What comes back to you

Branching from progress and learning activity

Insight only. The decision is yours.

Back to Student learnsBetter support leads back to learning, not to a rewrite

Professor

Your course, your material, your words. Everything downstream starts here.

One lecture you approved. Support that fits each student. Insight back to you.

Nothing a student does changes the slide, the approved transcript, or anything you marked as required.

Ready to start?

Accounts are available to students whose professor has invited them.

About Lectaive

Students arrive at the same lecture from different fields. An example that lands immediately for a computer science student can be the thing that loses an accounting student, not because the material is too hard but because it is framed for someone else.

Lectaive takes the lecture a professor already wrote and prepares one transcript from it. The professor stays the author: they review that transcript, confirm the definitions, formulas and terms that must stay exactly as written, and nothing reaches a student until they approve it. Every student then learns from that same transcript, with extra explanation added around it where their learning context suggests it helps.

Team

Rajesh Tummalapalli
Professor Yong Ge