Your course already exists. It just doesn’t answer back.
Alma's learning engineers add a way to stop a lecture and ask, spoken practice where there was only a quiz, and feedback that says why points were lost, inside the LMS you already use.
- Where it runs
- Any LTI-compliant LMS
- Start with
- One module
- Time to build
- A few weeks
- Your team's time
- About a day of decisions
The same module, now it answers back.
Before
Courses › Negotiation 101
Module 4 · Making the first offer
- Recorded lecture12 min
- Discussion board0 replies
- Quiz10 questions
After
Courses › Negotiation 101
Module 4 · Making the first offer
- Recorded lecture12 minStop at any slide and ask the AI teaching assistant.
- ReadingWith an AI tutorAsk the tutor anything about the assigned text.
- Video practice conversationTalk it through with an AI character, then get feedback on what you said.
- DiscussionEvery post gets a reply, from the AI teaching assistant and classmates.
- Learning gameA graded check that plays like a game.
Six additions, each built from your own course.
Built from the lectures, readings, rubrics and question banks the course already has. Each goes into an existing module on its own: take one, or all six.
Students can stop the lecture and ask
Lectures stay as they are, with an AI teaching assistant that answers about the slide on screen.
Spoken practice where there was only a quiz
Role-plays with an AI character, built from your own cases. Students answer out loud, and vague answers get pushback.
An AI tutor on every reading
A one-to-one chat that answers from the reading the instructor assigned.
Feedback that says why points were lost
It quotes the student's words and names what is missing. Work is AI-graded and human-confirmed, graded by your instructors, or graded by AI.
A considered reply to every discussion post
From the course's AI teaching assistant, labeled as AI, and from classmates.
Instructors see who is at risk, in time to help
Who is active, who is flagged, and where students stop. Faculty can open any student's progress during the term.
No migration. The course stays in your LMS, with your gradebook and your instructors.
Your platform
What we add opens inside the LMS you run, under your name and in your style. The student never sees Alma.
Your enrollments and gradebook
Nobody re-enrolls. Scores from the new activities go to the gradebook you already use.
Your course structure
Module order and prerequisites stay as they are. Every added activity carries an estimated time on task your team can check against your credit-hour policy.
Your instructors' role
You decide which roles stay human, including office hours. Every AI piece is labeled as AI, and 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.
Even mid-term
Additions appear as new activities in existing modules. Completed work and grades stay as they are, and the instructor decides whether a new activity counts this term.
A chatbot in the corner is not teaching.
What we add is built for one course and placed inside its modules.
A general chatbot
What we add
Where the student is
A general chatbot: Takes any question on any page, with no idea where the student is in the course.
It knows where the student is
On a module 6 lecture, it knows the slide on screen and what modules 1 to 5 covered.
Where answers come from
A general chatbot: Answers from anywhere.
It answers from the course itself
Your lectures, readings and cases, and the instructor can see what it said. When something is not in the course, it says so.
Practice
A general chatbot: Nothing to practise, and nothing to score.
Practice is scored against your rubric
Yours, or one we draft for your faculty to approve. The score goes to your gradebook.
Start with one module. Then decide.
A pilot on one module takes a few weeks to build, and the decisions take about a day of your team's time. If you want a tool to make lessons yourself this afternoon, or one chatbot for the whole LMS, we are the wrong choice.
Before you commit
Free example
Alma's learning engineers
We build an example from your own material, at no cost.
Your people
Nothing committed yet
Send us one module and judge the example before you commit.
Step 1
Pick a module
Alma's learning engineers
Before we start, we agree with you what the pilot will be compared on.
Your people
Conversation 1 of 3
You pick the module. A good choice is the one students ask the most questions about.
Step 2
Build
Alma's learning engineers
Alma's learning engineers build the additions for that module in your LMS.
Your people
Conversation 2 of 3
Your faculty and learning designers approve each piece, and can check it against your accessibility guidance, before students see it.
Step 3
Compare and decide
Alma's learning engineers
The module runs alongside the ones we did not touch. You pay a fee for the work, with no share of tuition, and own what is built.
Your people
Conversation 3 of 3
You compare them on what we agreed, then decide.
More ways to make a course work harder.
Full course development
When the course does not exist online yet, or needs more than additions.
See new coursesBlended & faculty-led courses
When an instructor teaches the course live and you want practice around those sessions.
See faculty-led coursesLearning analytics and outcomes
When the first question is who is at risk and where students stop.
See learning analyticsHow we work
Every step, with who does what and what your team approves.
See the full processBring one module of the course you already run.
Book a demo and we will walk through what would be added to that module and what the pilot costs.