Technology Platforms

Education AI Futures is a technology-building ecosystem. We focus on seven interlocking tools and platforms, each designed as a modular component in a broader education AI architecture.

Technology Platforms

01

CurriculumGraph Engine

A knowledge-graph platform that encodes national curricula, learning outcomes, and competencies across primary, secondary, and tertiary levels.

→ Maps relationships between topics (e.g., algebra → probability → machine learning fundamentals).
→ Allows AI tutors and analytics tools to reason over prerequisites, trajectories, and competencies.
→ Supports curriculum reforms, scenario simulations, and pathway redesign.
Knowledge Graphs RDF SPARQL
02

UbuntuTutor – Multilingual AI Learning Companion

A multimodal AI tutor that operates via text, speech, and low-bandwidth interfaces (SMS, WhatsApp) for maximum accessibility.

→ Delivers explanations and exercises aligned with CurriculumGraph for curriculum consistency.
→ Offers multilingual support (English + local languages) and code-switching for natural communication.
→ Includes explainability features disclosing sources and limits of knowledge.
LLMs Multilingual Speech Recognition
03

CompetencyAnalytics Studio

A learning analytics and assessment platform using machine learning and causal modeling to track competencies rather than just marks.

→ Track competencies aligned to CBC frameworks with fine-grained diagnostic data.
→ Visualize learning gaps at individual, class, and institutional levels.
→ Generate actionable feedback for teachers and learners, not just dashboards.
Learning Analytics ML Causal Inference
04

ExamIntegrity & Generative AI Governance Suite

A toolkit for universities and schools to navigate assessment in the era of generative AI while maintaining academic integrity.

→ AI-assisted exam design that resists trivial LLM-based answering through authentic assessment.
→ Hybrid open-book exam frameworks that embrace AI as a tool while preserving meaningful assessment.
→ Policies, rubrics, and monitoring tools for AI-augmented cheating detection and fairness auditing.
Assessment Governance Policy
05

TeacherStudio – AI for Curriculum & Material Design

A co-creation environment where teachers generate lesson plans and materials grounded in local knowledge and epistemologies.

→ Generate lesson plans, slides, and activities with local corpora and CurriculumGraph as primary sources.
→ Use prompt templates embedding decolonial principles (local examples, indigenous knowledge).
→ Receive reflective prompts: "Whose knowledge is centered? Who might be excluded here?"
Generative AI Curriculum Design Teacher Tools
06

FragileContext EdTech Suite

Tools designed specifically for refugee settlements, low-resource, and fragile environments with offline-first architecture.

→ Ultra-low-bandwidth learning interfaces optimized for 2G/3G networks.
→ Offline-first content synchronized with local hubs via mesh networking.
→ AI routines audited for cultural appropriateness in displacement and crisis situations.
Offline-first Low-bandwidth Humanitarian
07

OpenEducation RAG for Local Content

A Retrieval-Augmented Generation architecture that retrieves from local, curated, open educational resources rather than generic web scrapes.

→ Ensures AI explanations grounded in approved, context-specific sources (NCDC materials, local textbooks).
→ Supports DOIs and citation standards, reinforcing academic integrity and traceability.
RAG Open Education Citation

Modular Architecture

Each technology is developed with clear documentation, governance guidelines, and human-in-the-loop mechanisms for transparency and adaptability.

Data Layer
CurriculumGraph Local Corpora Knowledge Bases
AI Layer
LLMs Knowledge Graphs Analytics Engine RAG Pipeline
Interface Layer
UbuntuTutor TeacherStudio Analytics Dashboards API Gateway
Governance Layer
Ethics Framework Policy Engine Audit Tools Consent Management

Open & Collaborative

All our technologies are developed as open-source components, designed to be adapted, extended, and owned by the communities they serve. We believe that true digital sovereignty requires transparent, auditable systems that can be scrutinized and improved by those who depend on them.

✓ Fully open-source codebase
✓ Community-driven development
✓ Transparent governance
✓ Local deployment capability
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