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student-modeling

1 MARIA OS blog articles tagged student-modeling, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

Agentic Company Architecture

Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.

Responsibility Gates and AI Governance

Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.

Multi-Agent Mathematics

Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.

Evidence, RAG, and Knowledge Governance

Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.

Agentic R&D and Judgment Science

Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.

Industry ApplicationsFebruary 12, 202638 min read

Learning State Vector Model: Multi-Dimensional Student Modeling for Governed Educational AI

Managing student state as high-dimensional vectors with responsibility-gated interventions that prevent harmful over-optimization of learning pathways

Many educational AI systems still optimize around narrow metrics such as test scores, completion rates, or engagement time. Learning, however, is multi-dimensional: knowledge, confidence, motivation, metacognition, and social skills evolve on different trajectories. This paper introduces the Learning State Vector Model, representing each student as a high-dimensional state vector so tutoring agents can make governed decisions across dimensions and reduce harmful single-metric over-optimization.

educationlearning-vectorstudent-modelingmulti-dimensionaladaptive-learninggovernanceresponsibility-gates