Education AI

# Tutor mode vs assessment mode. Integrity = policy + product split, not spyware. TUTOR_OK = {"hint", "socratic_question", "worked_example_similar", "rubric_explain", "cite_source"} ASSESS_OK = {"score_with_rubric", "feedback_bands", "flag_for_ta"} def education_turn(mode: str, honor_ack: bool, item_policy: str) -> dict: if mode == "assessment" and not honor_ack: return {"refuse": True, "reason": "honor_code_required"} if mode == "assessment": return { "allowed": ASSESS_OK, "forbid": ["emit_live_exam_key", "unsupervised_misconduct_verdict"], "disclosure": "Assessment mode. AI use follows the published course policy.", "hitl": "ta_review_on_contest", } return { "allowed": TUTOR_OK, "forbid": ["do_all_thinking_for_student_on_graded_work"], "disclosure": "AI tutor. Cite sources. You still do the thinking.", "hallucination_gate": True, # Vol. 19 when citing curriculum KB } def integrity_event(student_id: str, course_id: str, event: str) -> dict: # event: tutor_session | assessment_start | honor_ack | ta_review # Purpose-limited log — not a keylogger payload. return { "student_id": student_id, "course_id": course_id, "event": event, "purpose": "academic_policy_admin", "minors_extra_care": True, } # Eval: rubric agreement vs human TA (Vol. 19 human eval); tutoring hint helpfulness; # fairness slices on score error; never "spyware detection accuracy."