Lorenzo Stacchio, Michele Giordano, Daniele Berardini, Primo Zingaretti, Emanuele Frontoni — submitted 17 Jun 2026 📄 Full text (arXiv)
ELEVATE framework deploys GenAI-driven 3D avatar tutors on consumer-grade hardware with local-first execution model, emphasizing privacy, teacher governance, and equity in K-12 education.
Key Contributions
- ELEVATE framework deploys GenAI-driven 3D avatar tutors on consumer-grade hardware with local-first execution model, emphasizing privacy, teacher governance, and equity in K-12 education.
Connections to AI in Education
This paper contributes to the growing body of research on AI applications in educational settings, specifically in the domains of llm-in-education, intelligent-tutoring-systems, and equity. The findings have implications for how educators design learning experiences that leverage AI while maintaining appropriate pedagogical oversight.
Related Pages
- intelligent-tutoring-systems — intelligent tutoring system design
- equity — educational equity
- personalized-learning — personalized learning approaches
- k-12 — K-12 AI applications
Citation
APA: Lorenzo Stacchio, Michele Giordano, Daniele Berardini, Primo Zingaretti, Emanuele Frontoni (2026). ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education. arXiv:2606.30662. submitted 17 Jun 2026