英语作为第二语言教师
教育与培训AI暴露度
- 数据来源: BLS发布时间: 2026-08
很高· 相对
低四级相对区间很高职业群单位数值
尺度 · 母数 · 来源
四级相对类别（低 / 中等 / 高 / 很高）
以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档
- 数据来源: Anthropic发布时间: 2026-03
0.064
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: 2025
0.34
0.09此处所载数值的范围0.70职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数，按发布原值0–1
ISCO-08职业小类单位 — 共用同一代码的职业取值相同
本站计算，并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中，达到或高于此值的占 62%。
该来源发布的是什么性质的数值
BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。
Task-level exposure
显示隐藏的 21 项工作| Task | Claude.aiRaw / share % |
|---|---|
Review instructional content, methods, and student evaluations to assess strengths and weaknesses, and to develop recommendations for course revision, development, or elimination.25-3011 | 0.189330.5 |
Conduct classes, workshops, and demonstrations to teach principles, techniques, or methods in subjects, such as basic English language skills, life skills, and workforce entry skills.25-3011 | 0.120419.4 |
Observe and evaluate students' work to determine progress and make suggestions for improvement.25-3011 | 0.113618.3 |
Plan and conduct activities for a balanced program of instruction, demonstration, and work time that provides students with opportunities to observe, question, and investigate.25-3011 | 0.084213.6 |
Write instructional articles on designated subjects.25-3011 | 0.04317.0 |
Use computers, audio-visual aids, and other equipment and materials to supplement presentations.25-3011 | 0.01292.1 |
Instruct students individually and in groups, using various teaching methods, such as lectures, discussions, and demonstrations.25-3011 | 0.01171.9 |
Prepare objectives and outlines for courses of study, following curriculum guidelines or requirements of states and schools.25-3011 | 0.00781.3 |
Observe students to determine qualifications, limitations, abilities, interests, and other individual characteristics.25-3011 | 0.00681.1 |
Prepare materials and classrooms for class activities.25-3011 | 0.00611.0 |
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 |
|---|---|
Maintain accurate and complete student records as required by laws or administrative policies.O*NET Task ID 6828 | 1.0 |
Establish clear objectives for all lessons, units, and projects and communicate those objectives to students.O*NET Task ID 6830 | 1.0 |
Attend professional meetings, conferences, and workshops to maintain and improve professional competence.O*NET Task ID 6847 | 1.0 |
Prepare for assigned classes and show written evidence of preparation upon request of immediate supervisors.O*NET Task ID 6848 | 1.0 |
Prepare reports on students and activities as required by administration.O*NET Task ID 6849 | 1.0 |
Write grants to obtain program funding.O*NET Task ID 6857 | 1.0 |
Write instructional articles on designated subjects.O*NET Task ID 6862 | 1.0 |
Adapt teaching methods and instructional materials to meet students' varying needs, abilities, and interests.O*NET Task ID 6824 | 0.5 |
Observe and evaluate students' work to determine progress and make suggestions for improvement.O*NET Task ID 6825 | 0.5 |
Plan and conduct activities for a balanced program of instruction, demonstration, and work time that provides students with opportunities to observe, question, and investigate.O*NET Task ID 6826 | 0.5 |
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
职业信息
与本职业相关的近期变化
2026年3月: Published evergreen blog post analyzing AI impact on ESL teachers: 22% automation risk, 43% exposure. AI generates learning materials (70%), but cultural empathy and pronunciation coaching stay human.
[来源: AI Changing Work Blog]