معلمو علم الاجتماع
التعليم والتدريبالتعرّض للذكاء الاصطناعي
- مصدر البيانات: BLSتاريخ النشر: 2026-08
مرتفع· نسبي
منخفضأربع فئات نسبيةمرتفع جدًاقيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
أربع فئات نسبية (منخفض / متوسط / مرتفع / مرتفع جدًا)
831 مهنة تفصيلية في جدول توقعات التوظيف لدى BLS. وتُسند القيمة على مستوى رمز مصفوفة التوظيف الوطنية (NEM)، فالمهن التي تشترك في الرمز نفسه تأخذ النطاق نفسه
- مصدر البيانات: Anthropicتاريخ النشر: 2026-03
0.000
0.000نطاق القيم المعروضة هنا0.745المقياس والأساس والمصدر
- مصدر البيانات: ILOتاريخ النشر: 2025
0.37
0.09نطاق القيم المعروضة هنا0.70قيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
مؤشر التعرّض للذكاء الاصطناعي التوليدي، 0–1 كما نُشر
وحدة التصنيف ISCO-08 — تأخذ كل المهن ذات الرمز نفسه هذه القيمة
محسوب من قِبل هذا الموقع وليس منشورًا من منظمة العمل الدولية: من بين 1,012 مهنة يربطها هذا الموقع بمجموعة بيانات المنظمة، تبلغ نسبة التي تساوي هذه القيمة أو تتجاوزها 53%.
ما نوع القيمة التي ينشرها هذا المصدر
فئة BLS رتبة نسبية لا مستوى مطلق، وليست قياسًا مباشرًا: فهي تجمع الرتب المئينية للمهنة في عدة دراسات منشورة في أربع فئات. وهي ليست توقّعًا للتوظيف أو الأجور، ولا احتمالًا للتبني، ولا تفرّق بين الأتمتة والتعزيز.
Task-level exposure
المهام ذات التعرض فقط| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Initiate, facilitate, and moderate classroom discussions.25-1067 | 0.070031.8 | 0.030033.3 |
Advise students on academic and vocational curricula and on career issues.25-1067 | 0.070031.8 | 0.00000.0 |
Evaluate and grade students' class work, assignments, and papers.25-1067 | 0.050022.7 | 0.060066.7 |
Prepare course materials, such as syllabi, homework assignments, and handouts.25-1067 | 0.02009.1 | 0.00000.0 |
Compile, administer, and grade examinations, or assign this work to others.25-1067 | 0.01004.5 | —0 |
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.25-1067 | 0.00000.0 | 0.00000.0 |
Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.25-1067 | 0.00000.0 | —0 |
Write grant proposals to procure external research funding.25-1067 | 0.00000.0 | —0 |
| Not observed on any surface — 16 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Prepare and deliver lectures to undergraduate or graduate students on topics such as race and ethnic relations, measurement and data collection, and workplace social relations. | —0 | —0 |
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences. | —0 | —0 |
Maintain student attendance records, grades, and other required records. | —0 | —0 |
Maintain regularly scheduled office hours to advise and assist students. | —0 | —0 |
Collaborate with colleagues to address teaching and research issues. | —0 | —0 |
Select and obtain materials and supplies, such as textbooks and laboratory equipment. | —0 | —0 |
Supervise undergraduate or graduate teaching, internship, and research work. | —0 | —0 |
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues. | —0 | —0 |
Participate in student recruitment, registration, and placement activities. | —0 | —0 |
Supervise students' laboratory and field work. | —0 | —0 |
Compile bibliographies of specialized materials for outside reading assignments. | —0 | —0 |
Mentor new faculty. | —0 | —0 |
Perform administrative duties, such as serving as department head. | —0 | —0 |
Act as advisers to student organizations. | —0 | —0 |
Participate in campus and community events. | —0 | —0 |
Provide professional consulting services to government or industry. | —0 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Prepare course materials, such as syllabi, homework assignments, and handouts.O*NET Task ID 6080 | 1.0 |
Maintain student attendance records, grades, and other required records.O*NET Task ID 6082 | 1.0 |
Compile bibliographies of specialized materials for outside reading assignments.O*NET Task ID 6096 | 1.0 |
Evaluate and grade students' class work, assignments, and papers.O*NET Task ID 6076 | 0.5 |
Prepare and deliver lectures to undergraduate or graduate students on topics such as race and ethnic relations, measurement and data collection, and workplace social relations.O*NET Task ID 6077 | 0.5 |
Compile, administer, and grade examinations, or assign this work to others.O*NET Task ID 6079 | 0.5 |
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.O*NET Task ID 6081 | 0.5 |
Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.O*NET Task ID 6084 | 0.5 |
Advise students on academic and vocational curricula and on career issues.O*NET Task ID 6085 | 0.5 |
Collaborate with colleagues to address teaching and research issues.O*NET Task ID 6086 | 0.5 |
Initiate, facilitate, and moderate classroom discussions.O*NET Task ID 6078 | 0.0 |
Maintain regularly scheduled office hours to advise and assist students.O*NET Task ID 6083 | 0.0 |
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.O*NET Task ID 6090 | 0.0 |
Supervise students' laboratory and field work.O*NET Task ID 6093 | 0.0 |
Act as advisers to student organizations.O*NET Task ID 6095 | 0.0 |
Participate in campus and community events.O*NET Task ID 6097 | 0.0 |
Mentor new faculty.O*NET Task ID 21121 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page