Your instructor teaches the class. We build what students do between sessions.
For deans, program directors, and instructors whose course meets live, in a classroom, online, or both. Alma's learning engineers build practice, an AI teaching assistant, and feedback around those sessions, so class time goes to what only the instructor can do.
- Who teaches
- Your instructor, live
- Where it runs
- Any LTI-compliant LMS
- Start with
- One module
- Your team's time
- About a day of decisions
The live session stays the center of the course, and we build around it.
A course that meets live gives students an instructor for a few hours a week. In the hours between, many students say they are teaching themselves. Alma’s learning engineers build those hours from the instructor’s own syllabus, slides, and cases.
Five additions around the sessions, each built from the instructor’s own material.
Take one, or all five.
A lecture students can stop and question, before class
Material the instructor chooses to move out of class time becomes a video lecture, with an AI teaching assistant that answers from the course itself.
An AI tutor on each reading, there when the student asks
A one-to-one chat that answers from the reading the instructor assigned.
Practice out loud with an AI character
Each role-play is built from one of the instructor's cases. The AI character pushes back on anything vague.
Feedback that says why points were lost
Graded work comes back quoting the student's own words and naming what is missing.
A considered reply to every discussion post
From the course's AI teaching assistant, labeled as AI in the thread, and from classmates.
The instructor stays the teacher, and decides which roles stay human.
The live sessions
What happens in the room, or on the call, is the instructor's.
Office hours and every other human role
You decide role by role.
The grade
You choose how work is graded: AI-graded and human-confirmed, fully by your instructors, or fully by AI. The instructor named on the course stays responsible for the grade.
The learning outcomes approved for the course
Every activity we add is traced to them and carries a time estimate your team can check against your credit-hour policy.
The instructor's face and voice
A video lecture shows your faculty in their own face and voice, with their written agreement. An instructor can keep every lecture live and take the other additions.
Your team can check what we add against your own accessibility guidance before launch. You pay a fee for the work, with no share of tuition. You own what is built, and contract length follows your preference.
The instructor chooses from a short menu. We do the production.
We build an example from your own material, at no cost, before you decide. A pilot on one module is paid work and takes weeks to build. The decisions take about a day of your team's time. Review is separate, and you set how deep it goes.
Step 1
You send the syllabus and what you teach from
Slides, readings, cases, rubrics, and the class schedule, as they are.
Step 2
We propose what goes around each session
The instructor and your campus learning designers approve the design before anything is produced.
Step 3
We build it in your LMS
Every module is open to review before a student sees it.
One class meeting, with the work before and after it.
An illustration, built on a negotiation case.
Before class
Students take a video lecture on the framework and stop it to ask about a slide. A knowledge check shows what stuck.
In class
The instructor runs the case as a live negotiation between students.
After class
Each student negotiates again, out loud, with an AI character built from the same case. Feedback quotes their own words.
What the instructor sees
Who did the preparation and who is flagged at risk, in time for the next session.
What an instructor or a dean will ask first.
Does practice with AI count as the instructor's interaction with students?
No. Your instructor provides that interaction, in the live sessions, in feedback, and in office hours. The AI teaching assistant supports the instructor's teaching and does not replace it.
What are students told?
The AI teaching assistant, the AI tutor, and the AI characters are each labeled as AI wherever a student meets them.
Who is this not for?
An instructor who wants a tool to make activities alone this afternoon. Alma is a service, and its learning engineers do the building.
Where to go if this is not quite your case.
Course refresh & redesign
When the course is already online and recorded, and nobody teaches it live.
See adding AI
Full course development
When the course does not exist yet beyond slides and a syllabus.
See new courses
Learning analytics and outcomes
Who is flagged at risk and where students stop, in every course we build.
See learning analytics
Bring the syllabus of a course you teach live.
Book a demo and we will walk through what would go before and after one of your sessions.