Sustained deployment surfaced four behavioral archetypes — self-directed, tutor-reliant, late engager, and passive consumer — including patterns invisible to the reactive teaching system¶

Claim · All claims
Evidence · 1 study (2 entries) · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Longitudinal deployment data revealed four behavioral archetypes, including a late engager with a non-linear trajectory and a passive consumer detectable only through the analytics layer. → Iizalaarab Elhaimeur and Nikos Chrisochoides 2026 q2 i? A mid-semester re-engagement was observed when Module 5 was introduced, suggesting new content can recover students who had paused the self-paced track. → Iizalaarab Elhaimeur and Nikos Chrisochoides 2026 (2)

Evidence¶

Iizalaarab Elhaimeur and Nikos Chrisochoides 2026¶

Iizalaarab Elhaimeur and Nikos Chrisochoides. (2026). From Prototype to Classroom: An Intelligent Tutoring System for Quantum Education. https://arxiv.org/abs/2604.24807 doi:10.48550/arxiv.2604.24807

q2 · i? · design · r2

Qualitative archetype analysis of pilot deployment data across video playback, code execution, chat, checkpoint, and session events. The article describes the self-directed, tutor-reliant, late engager, and passive consumer archetypes; the passive consumer never signals confusion and was detected only by the analytics agent.

"A controlled demonstration cannot produce a late engager. A single-session test cannot produce a passive consumer detectable only through longitudinal data."

Iizalaarab Elhaimeur and Nikos Chrisochoides 2026 (2)¶

Iizalaarab Elhaimeur and Nikos Chrisochoides. (2026). From Prototype to Classroom: An Intelligent Tutoring System for Quantum Education. https://arxiv.org/abs/2604.24807

q2 · i? · design · r2

Aggregate observation from the pilot deployment's module-level engagement distribution. The re-engagement when Module 5 was introduced is reported descriptively as a pattern emerging only from sustained deployment; no effect size is printed.

"A mid-semester re-engagement was observed when Module 5 was introduced, suggesting that new content can recover students who had paused the self-paced track."

Discussion¶

Related Claims¶

• Behavior-aware AI-tutor prompting was associated with a decrease in Passive inter-query windows from 50.0% to 20.7% in a nonrandomized between-deployment comparison — related
• An agentic AI instructor sustained and deepened student engagement across successive course modules in a field deployment — related
• Tutor behavior had a major impact on students' discussion behaviors, with dominant or passive tutors both failing to stimulate lively discussion