Public schools assign every student an artificial tutor and an independent assessment agent, making the quality of the pairing a decisive source of educational inequality.
Education systems replace uniform software policies with permanent pairs of tutoring and assessment agents. Students develop distinct habits according to how their tutors question, challenge, and reassure them, while assessment systems reward only some of those habits. Wealthy families purchase compatible pairs and extensive testing, whereas public schools distribute combinations by contract, region, and chance.
At 8:05 a.m. in a mathematics classroom in Incheon, fourteen-year-old Seo Jun compares a failed proof with his classmate's accepted version and realizes that his tutor taught him to ask questions his evaluator treats as evasions.
Open evaluation standards, rotating agents, and strong human teaching teams could prevent fixed pairings from becoming destiny while preserving the benefits of individualized guidance.