Can LLMs be personal tutors?

Summary

Question quality, accuracy, alternatives and persistence matter beyond fluent explanations.

Christodoulou asks whether tutors elicit answers, generate accurate questions, improve on existing tutoring systems, and sustain the structure needed for students to persist.

These are evaluation criteria, not proof that all AI tutoring fails. Her own question-generation difficulties illustrate the distance between fluent explanation and checking understanding.

Comparisons such as textbook error rates are the author’s judgments, not measurements in this essay.