One cycle.Every learner.
LIMAS weaves your curriculum, your students, your teachers and AI into a continuous cycle of learning, practice, collaboration, assessment, diagnosis, intervention, reflection and mastery.
One promise, kept three ways
AI supports the journey
It tutors, scaffolds, assesses and analyzes — always inside the lesson, always within the teacher's guardrails.
Students do the learning
Every answer, every attempt, every contribution is made by the student — and it is all recorded.
Teachers lead the process
Nothing generated by AI reaches a student, or a gradebook, without teacher review and approval.
Four actors share one cycle
The Student
Learns, practices, collaborates, assesses and reflects — with guided help at every step.
- Learns alongside a lesson-specialized AI tutor
- Applies knowledge in interactive activities
- Works in structured, traceable group tasks
- Self-evaluates and reflects on own learning
The Teacher
Leads the process: monitors, validates, evaluates and decides.
- Reviews and approves every AI output
- Sees learning evidence, not just scores
- Triggers personalized interventions
- Manages grades and dispatches activities
The Curriculum Admin
Defines what should be learned — and the guardrails for how the AI supports it.
- Builds the Grade → Subject → Unit → Lesson tree
- Writes the learning objectives that drive every AI behavior
- Turns the schoolbook into a structured digital lesson
The AI
The engine inside: scoped to each lesson's objectives, overridable by the teacher at every step.
- Tutors by scaffolding, not by answering
- Designs activities, assessments and remediation
- Diagnoses why errors happen, not just where
- Analyzes group work — advisory, never final
This is not a straight line
Every learning objective travels through the same eight moments — and the loop re-enters until mastery is real, for that student.
Mastered? The next objective begins a new cycle.
01 · Learn
Learning that answers back
The AI tutor is specialized in the current lesson and its objectives. When a student asks, the AI never just hands over the answer — it runs a full micro-cycle.
The tutor micro-cycle
Interactive video
The video pauses at checkpoints and asks the student to think — watching becomes doing, and every answer feeds the diagnosis.
Worked examples on demand
Stuck? The student requests a step-by-step worked example tied to the objective — and the teacher sees it as a support signal.
AI-designed activity
Released to students only after teacher approval.
02 · Practice
From understanding to applying
Learning moves to application. The AI designs the whole activity — and the teacher approves it before any student sees it.
03 · Collaborate
Collaboration you can actually see
Group work is structured, traceable and assessed — there is no anonymous 'group blob'.
Every contribution, recorded
Researcher
88%
Builder
95%
Presenter
74%
Recorder
90%
After submission, the AI analyzes the group
“The group understood the main concept, but still mixes up two similar cases — let's retry one together.”
04 · Assess & Diagnose
Beyond the score
A traditional test gives a number. LIMAS goes further and asks: what does the student actually understand?
Score
60%
A score says what happened. The diagnosis says why.
Then the student weighs in
The Teacher's Control Room
Evidence, not just scores
The dashboard shows learning evidence and activity: proficiency, the specific problem, the AI's analysis and a suggestion — per student.
How anything reaches a student
Every step is logged — who did it, when, and what changed.
05 · Intervene
One gap, four different paths
Remediation is personal, not uniform. Same lesson, same objective — different diagnoses, different help.
Student A
Basic practice
Reassessed with basic practice to rebuild the foundation.
Student B
Visual representation
Supports understanding with a visual model of the concept.
Student C
Extra examples, then re-check
Additional worked examples, then a measured re-assessment.
before: 45%after: 72%
Student D
Extension — no intervention
Gap already closed: continues with an extension activity, no repetition.
Improvement is measured before and after — and an intervention that worked is never repeated.
06 · Reflect & Master
Thinking about the thinking
The student returns to metacognition — with new questions and a deeper understanding.
Mastery, per student
An objective is mastered only when that student has demonstrably achieved it. Then the cycle moves on — to the next objective.
The questions school leaders ask
The teacher keeps the pen
Every AI output — activity, feedback, grade suggestion, worked example — is reviewed and approved by the teacher before it reaches a student.
A full audit trail
Every AI output, approval, override and grade change is logged with the actor and the timestamp. You can always ask how you know.
No anonymous group work
Each student's contribution is recorded and assessed individually — even inside group tasks. Fair credit, always.
Every result links to evidence
Every score traces back to the interactions, contributions and objectives behind it — from curriculum to result.
Five pillars hold the platform
Curriculum-grounded
Everything ties to curricula, lessons and objectives.
AI-powered
Tutor, assessment, diagnosis and remediation.
Student-centered
Learning, practice, self-assessment and mastery.
Collaborative
Group work that is structured and assessed.
Teacher-led
The teacher monitors, validates and decides.
Bring the cycle to your school
From the first lesson to the first mastery — see what the cycle does for your students and your teachers.
© 2026 LIMAS · Learning, Intelligently