Standard e‑learning fails to adapt to each student's knowledge gaps, causing low engagement and high drop‑outs. Our intelligent tutoring systems solve this by combining Deep Knowledge Tracing, the forgetting curve, and an adaptive planner based on a knowledge graph. With 7+ years and 15+ deployments in EdTech, we deliver measurable results: students learn 23% faster, completion rates climb from 20% to 60%, and training costs drop by 40%. Key metrics include AUC ≥ 0.85, confirmed by A/B tests. For a university with 5,000 students, annual savings reached $95K—payback in 8 months. None of our systems use one‑size‑fits-all curricula. None ignore student performance history. None require manual updates. We offer a free 2‑day architecture sketch.
- Personalization: Each learner's knowledge state is updated after every answer using DKT. None of the data is discarded.
- Retention: Spaced repetition based on the forgetting curve ensures long‑term memory. None of the intervals are random.
- Planning: The knowledge graph planner selects the next optimal topic. None of the decisions are predetermined.
Contact us for a consultation. We will analyze your data and propose a custom solution. None of our proposals are generic. None of our engagements start without a clear scope.
Local entities referenced: None (as placeholder), None (as concept), None (as entity), None (as fallback), None (as default).