58%
Needs practice
This skill just needs a little attention before the next checkpoint.
Alimny maps course skills, assessment evidence, and semester progress into a clear learning compass, so students know what to practice, instructors know where to intervene, and institutions can prove growth.
A skill-tagged question creates evidence.
Mastery moves by skill, not only by total score.
Alimny points to the practice that repairs the gap.
Integration is improving
Two more practice items should confirm mastery.
The platform connects the work students already do to the skills courses are supposed to build.
Course skill
Integration by parts
Instructor defines the skill and target mastery.
Question evidence
Quiz question tagged 70%
Assessment evidence updates the skill, not only the gradebook.
Next action
Small gap. Easy win.
The student gets a practice path tied to the exact skill.
58%
This skill just needs a little attention before the next checkpoint.
12
Students share the same evidence pattern, so practice can be assigned together.
+18%
Compare mastery movement across terms instead of only final averages.
Human
AI helps draft. Instructors stay in control of what affects mastery.
Click an answer. The question weights update the skill signal, the compass shifts, and Alimny recommends the next repair step.
Question 7: evidence selection
Identify the strongest evidence in the paragraph and choose the answer that supports the claim.
Skill weights
Needs practice: Academic writing
Flag the skill gap, send targeted practice, and show the instructor where to intervene.
Core concepts
Course skill
Evidence use
Assessment skill
Analysis
Reasoning skill
Academic writing
Communication skill
Reflection
Growth skill
Students get direction. Instructors get intervention signals. Institutions get proof that learning moved.
Alimny still handles LMS fundamentals, but its main object is the learning compass.
Every course becomes a live compass of skill mastery.
Questions, rubrics, and activities map to the skills they measure.
Students see what needs practice, why it was flagged, and what to do next.
Class patterns, at-risk skills, and question quality signals in one place.
Programs can compare growth across semesters, cohorts, and outcomes.
AI can draft labels and study tools, but evidence stays reviewable.
Shows grades
Stores course content
Tracks completion
Reports after the fact
Detects skill weaknesses
Explains the evidence trail
Recommends the next repair step
Compares semester growth
Compass design is calm, but the product posture is serious: roles, auditability, privacy, and instructor approval stay visible.
Role-based access
Designed so learning guidance is useful, explainable, and permission-aware.
Audit-ready evidence
Designed so learning guidance is useful, explainable, and permission-aware.
Organization management
Designed so learning guidance is useful, explainable, and permission-aware.
Local AI path
Designed so learning guidance is useful, explainable, and permission-aware.
Give students a compass, give instructors an intervention map, and give institutions proof that learning is moving.