School Ends at 3. Learning Doesn’t: How to Build the 24/7 Holotutor Every Student Deserves

Learning does not conform to bell schedules, yet academic support systems remain largely time-bound, labor-intensive, and unevenly distributed. This Glass Classroom session presents a learning engineering approach to AI-enabled tutoring through Holotutor AI, a 24/7 instructional support system designed to extend—not replace—teacher-led learning. Grounded in Metaversive Teaching and Learning, the session examines how AI tutoring can be architected as a scalable, equitable layer within existing instructional systems.Drawing on IRB-approved research at Morehouse College and district-level implementation at KIPP Atlanta Collegiate, the session integrates perspectives from pedagogy, technology implementation, and immersive learning infrastructure. Participants observe how subject- and learner-specific Holotutors are engineered to provide adaptive explanations, metacognitive scaffolding, and just-in-time feedback, aligning learning science with real-world constraints.The session positions AI tutoring as critical learning infrastructure—supporting persistence, skill development, and workforce-relevant learner autonomy in an always-on knowledge economy.