Misan Paul Etchie, Taiwo Olutosin — cs.CY, cs.AI, cs.HC 📄 Full text (arXiv)
This paper proposes an AI-integrated LMS designed specifically for middle school instruction, addressing the gap between current LMS platforms (which function as workflow tools) and the need for real-time instructional support during the critical middle-school learning window. Key features include policy-gated AI assistance (bounded AI to avoid over-reliance), formative feedback and hinting during practice, spaced review and adaptive practice recommendations, and teacher dashboards for misconception patterns. The system is designed with privacy-first architecture including data minimization, age-appropriate response constraints, auditable logs, and role-based access control. The proposed longitudinal study tracks students from middle school through high school into post-high school pathways, linking fine-grained learning traces to institutional outcomes. This design study is complementary to intelligent-tutoring systems research and personalized-learning implementations in K-12 settings.}, The emphasis on bounded AI support — rather than open-ended tutoring — distinguishes this approach from systems like Khan Academy's Khanmigo and reflects pedagogical concerns about scaffolding versus answer-giving in K-12 AI tools.
Related Pages
- knowledge-tracing-irt — Knowledge tracing models and IRT for student modeling
- intelligent-tutoring — AI tutoring systems and adaptive instruction
- learning-analytics — Data-driven analysis of learning processes
- ai-literacy — Understanding and evaluating AI tools
- student-modeling — Representing learner knowledge and behavior
- cs-education — Computing education research and pedagogy
- self-regulated-learning — Metacognitive strategies for independent learning
- formative-assessment — Ongoing assessment to inform instruction
- automated-grading — AI-assisted evaluation of student work
- scaffolding — Instructional support that fades with competence
Citations
APA: Misan Paul Etchie, Taiwo Olutosin (2026). AI-Integrated Learning Management System for Middle School: A Longitudinal Study of Learning Outcomes. arXiv:2606.07544. cs.CY, cs.AI, cs.HC.