Case Study / Education
AI-augmented learning management in three weeks.
Time to production
3 weeks
Human validation
Every grading decision
The Challenge
An educational institution needed AI-augmented curriculum delivery with assessment capabilities and adaptive learning paths. Faculty needed to remain in control of grading decisions while benefiting from AI assistance.
The system needed to integrate with existing institutional data sources and maintain complete records for academic integrity and accreditation requirements.
Building from scratch would mean months of infrastructure work before any educational value could be delivered.
Architecture in This Deployment
The learning management workflow runs on OrbisFramework with human-in-the-loop validation at every grading and assessment decision. Two components carried the weight.
Components That Carried the Weight
- 6Human Judgment: Faculty remain the decision-makers for all grading. AI provides initial assessment and surfaces patterns, but the judgment is human. Faculty see the reasoning, not just the conclusion.
- 4Gate: Three-route gate for assessments. High-confidence matches on standard rubrics proceed with faculty review. Ambiguous cases escalate immediately. Non-standard learner patterns trigger human evaluation.
Governing Edge
Edge of the standard: When a learner's work does not fit standard assessment patterns, the system flags it for faculty review rather than forcing a score. Non-standard does not mean wrong. It means human judgment is required.
Key Capabilities
- Curriculum Delivery: AI-enhanced content presentation with adaptive sequencing
- AI Assessment: Automated initial evaluation with faculty review gates
- Adaptive Paths: Learning path adjustment based on student performance
- Institutional Integration: Connected to student information and LMS systems
The Result
Three weeks from kickoff to production deployment. Faculty retained full control over grading decisions while AI handled initial assessment and adaptive path recommendations.
Complete audit trails support academic integrity requirements. The workflow can be modified by faculty without code changes.
Education workflows
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