Atlas lets faculty upload course materials, review AI-generated questions, and launch adaptive practice to students — without leaving Moodle.
Atlas shows its work before anything reaches your students.
Drafts pulled from your material, not a generic corpus
Atlas generates questions from the PDFs you uploaded, never from a foundation model's training data. Each draft carries chapter, page, and section citations, and is mapped to the concept it tests. You are reviewing items grounded in the text you chose, in the framing you teach it.
One queue: approve, edit, reject
Every draft lands in a single review queue with the source passage alongside it. Approve in a click, edit the wording, or reject outright. Rejections feed back into how Atlas drafts for your course, so the queue gets closer to your standards the longer you use it.
Nothing publishes until you say so
Nothing reaches students by default. You remain editor of record on every item in the question bank, with an audit trail your accreditation team can actually open.
Concept-by-concept. Updated every session.
Cohort mastery, mapped to the concepts you taught
A live heatmap of where your class stands, concept by concept. High-attempt, low-mastery areas surface clearly, so you can tell the difference between students coasting and students genuinely stuck. The grid is your syllabus, not a generic competency framework imported from somewhere else.
Remediation happens before you have to ask
When a concept flags red across the cohort, Atlas already adjusts those students' practice queues to surface it more often. You did not have to open a ticket, run a report, or nudge anyone. The intervention is underway by the time you notice the signal.
Ambient intelligence, not another task inbox
The data is there when you want it: before a midterm, before office hours, or when a student asks why a mark landed where it did. If you want to address a weak concept in lecture, you have the evidence. If you trust Atlas is handling it, it already is.
Accreditation evidence falls out as a by-product. Not a year-end scramble.
Your curriculum as the prerequisite graph it always was
The structure implicit in how you teach, rendered explicitly. Concepts, their prerequisites, and the assessments that touch each one. Atlas proposes the graph from your uploaded material; you confirm or edit the relationships, and your edits propagate across every section you teach.
Ask the map a question in plain language
Type "where will my cohort struggle on the midterm" and the at-risk concepts light up, with the upstream prerequisites dragging them down. Ask which learning outcomes are not yet covered by any assessment and the gap is visible. The map is a question-answering surface, not a static diagram.
The foundation everything else is built on
Citations attach to the map. Remediation traverses it. Accreditation evidence falls out of it as a by-product, not a year-end scramble. You stay the discipline expert with authority over the structure; Atlas handles the plumbing that connects content, practice, and outcomes to it.
EU data residency · FERPA-aligned · your uploads never train external models
Pilot timeline: 2 weeks setup → 4-week cohort → results report