AiDU
AiDU
for Schools
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Power-user release next week • Teacher Suite

Your AI operating system that makes lesson prep & grading fast.

AiDU helps teachers, schools, parents and students in their everyday education life. It generates curriculum-aligned lessons, creates assessments, and grades with confidence, schools gain clear insight into performance, parents have transparency and students have their trusted AI Co-Teacher.

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✓ Built for schools ✓ Curriculum-aligned ✓ Teacher-in-control

Teacher Suite features

Focus on what matters: teaching. AiDU reduces workload while maintaining teacher control.

Try the power-user release
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Lesson Studio

Curriculum-aligned lesson plans with objectives, activities, differentiation, and exports.

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Assessment Studio

Create quizzes and exams by topic coverage, difficulty, and question types.

✅

Automated Grading

Fast grading with rubrics and teacher override. Confidence indicators for review.

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Insights

Identify misconceptions and weak topics. Support interventions and reteach planning.

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Personalization

AiDU learns teacher preferences (format, tone, examples) for consistent outputs.

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Security

Role-based access and audit logs. Ready for private cloud or on-prem later.

How it works

Teachers select subject, grade, and topic. AiDU retrieves curriculum context (RAG with metadata) and generates materials in the teacher’s preferred style — with teachers reviewing and approving outputs.

1️⃣

Curriculum grounding

Approved curriculum is uploaded and indexed. AiDU uses retrieval (RAG) with metadata (grade, subject, topic) to ground outputs.

2️⃣

Teacher preferences

Teachers define style, depth, language, pacing, and formatting. AiDU adapts over time via preferences and approved examples.

3️⃣

Lesson & content creation

Generate lessons, activities, and assessments aligned with curriculum coverage and teacher intent.

4️⃣

Review, export & reuse

Teacher edits remain central. Approve content, export to PDF/PPT, store it in a library, and reuse it later.

5️⃣

Assisted grading (Q2)

AiDU suggests grades and feedback with confidence flags — teachers confirm or override.

6️⃣

Insights (roadmap)

Schools see subject/class benchmarking to improve teaching and learning outcomes.

Security & privacy

Designed for institutional use in schools: data minimization, access control, transparency, and teacher oversight — aligned with European expectations.

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Audit logs

Track who generated what and when, supporting trust, accountability, and traceable workflows.

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Human oversight

Teachers review and approve AI-generated outputs. AI supports decisions — people own outcomes.

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Data protection & governance

GDPR-aligned by design with data minimization, access control, and transparency. Curriculum and school content remain school-owned, and are not used to train public AI models.

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Access control & isolation

Role-based access aligned with school responsibilities, plus separate school spaces for curriculum and artifacts to prevent cross-school leakage.

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Deployment options

Cloud now; hybrid/on-prem later based on school or ministry requirements.

⚙️

Operational controls

Policy-based curriculum management and clear review workflows help schools stay in control. For pilots, start with a small set of power users and an explicit approval process.

Ethics & Trust

Built for schools. Designed with responsibility: teacher-in-control, transparent, and aligned to institutional standards.

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Core principles

  • Teacher in control: AI supports decisions — teachers approve and own outcomes.
  • Transparency: Outputs are grounded in curriculum and teacher-provided material.
  • Accountability: Clear ownership of content creation and review workflows.
  • Safety mindset: Guardrails + human oversight to prevent inappropriate content.
🗂️

Data & governance

  • Data sovereignty: Schools remain in control of their curriculum and content.
  • No uncontrolled reuse: School data is not used to train public AI models.
  • Access control: Role-based access aligned with school responsibilities.
  • Auditability: Designed for reviewable outputs and traceable workflows.
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Sustainability

AiDU prioritizes retrieval-based generation and efficient model usage. We aim to use AI only where it adds educational value and to reduce unnecessary computation over time. Sustainability is treated as an ongoing optimization goal rather than a one-time claim.

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What AiDU will not do

  • No replacement of teachers.
  • No black-box decisions about student outcomes without human review.
  • No uncontrolled reuse of school data for public model training.

Ready to onboard power users?

Invite teachers and start generating curriculum-aligned lessons this week.

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