How Algo School Works
From curriculum upload to personalized learning paths—see how AI transforms education while keeping teachers in control.
The 5-Step Workflow
1. Upload Your Curriculum
Import your existing syllabus, lesson plans, or learning objectives. Algo School accepts PDF, Word documents, or direct text input. The system extracts your educational content and organizes it into a structured format for AI processing.
2. AI Builds the Knowledge Graph
Our AI analyzes your curriculum to identify the underlying concepts—the fundamental ideas students need to understand. It then discovers connections between concepts, showing which are prerequisites for others. The result is a visual map of your entire curriculum that reveals learning pathways.
3. Teacher Generates & Approves Assessments
Describe what you want to assess in natural language: "Create a 10-question quiz on fractions for Grade 4." The AI generates questions with appropriate difficulty and Bloom's levels. You review and approve everything—nothing goes live without teacher authorization.
4. Misconception Diagnosis & Mastery Insights
After students complete assessments, you see more than scores. Algo School identifies why students got answers wrong—pinpointing specific misconceptions. Track mastery at the concept level, not just by assignment.
5. Adaptive Practice & Retention Scheduling
Students receive personalized practice that adapts to their individual mastery levels. The system automatically schedules spaced reviews to fight the forgetting curve and build long-term retention.
Understanding the Knowledge Graph
What Is a Knowledge Graph?
A knowledge graph is a network of concepts connected by relationships. Unlike linear lesson sequences, it shows how ideas build on each other—revealing the structure of knowledge itself.
Why It Matters
Traditional systems organize content by chapters. Knowledge graphs organize by understanding. This lets you see prerequisite gaps, identify foundational weaknesses, and create truly personalized learning paths.
Prerequisite Relationships
Concepts don't exist in isolation. The knowledge graph makes dependencies explicit—showing which concepts must be mastered before others can be learned effectively.
Example: Math Concepts
Concepts are connected by prerequisite relationships.
"Multiplication" requires understanding "Addition" first.
Intelligent Concept Reuse
When you upload a new curriculum, Algo School checks for existing concepts in your knowledge graph. "Addition" in Grade 1 Math automatically connects to "Addition" in Grade 3 Word Problems—creating powerful cross-curriculum learning pathways without duplicate content.
Teacher-in-Control Loop
AI assists, teachers decide. Nothing happens without your approval.
You Request
Tell the AI what you need: assessment type, concepts to cover, difficulty level, question count.
AI Generates
The system creates questions, suggests alternatives, and provides rationale for each choice.
You Approve
Review, edit, swap, or regenerate any question. Only approved content reaches students.
Why Teacher Control Matters
AI is powerful but not infallible. Teachers know their students, context, and curriculum nuances. Algo School amplifies teacher expertise—it doesn't replace it.
What Changes for Students
Adaptive Learning Paths
Instead of everyone following the same sequence, each student's path adapts based on their demonstrated mastery. Struggling with prerequisites? The system addresses foundations first.
Targeted Practice
Practice focuses on concepts each student needs most—not what they've already mastered. Less frustration, more progress.
Spaced Repetition
The system schedules concept reviews at scientifically optimal intervals. Students retain more of what they learn, reducing the "learn it, forget it" cycle.
Clear Progress Visibility
Students see their mastery per concept—not just grades. They understand what they know well and what needs work.
Misconception Feedback
When students answer incorrectly, they learn why—not just that they were wrong. Understanding the root cause accelerates real learning.
Confidence Building
Questions adapt to student ability, ensuring challenge without overwhelming. Success builds confidence, which builds motivation to keep learning.