Sonderpädagogische Lehrkräfte
Bildung und AusbildungVereinigte Staaten · BLS-Beschäftigungsprognosen 2025–35: Dieser SOC-Code gehört nicht zu den veröffentlichten Positionen.
KI-Exposition
- Datenquelle: ILOVeröffentlicht: 2025
0.28
0.09Spannweite der hier geführten Werte0.70Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
ISCO-08-Berufsgattung — alle Berufe mit demselben Code erhalten diesen Wert
Von dieser Website berechnet, nicht von der IAO veröffentlicht: Von den 1.012 Berufen, die diese Website mit dem IAO-Datensatz verknüpft, erreichen oder übertreffen 73% diesen Wert.
- Datenquelle: OpenAIVeröffentlicht: 2023
0.350
0.000Spannweite der hier geführten Werte0.844Skala, Bezugsmenge und Quelle
Task-level exposure
30 ausgeblendete Aufgaben anzeigen| Task | Claude.aiRaw / share % |
|---|---|
Present information in audio-visual or interactive formats, using computers, televisions, audio-visual aids, or other equipment, materials, or technologies.25-2052 | 0.016224.3 |
Observe and evaluate students' performance, behavior, social development, and physical health.25-2052 | 0.010916.5 |
Prepare objectives, outlines, or other materials for courses of study following curriculum guidelines or school or state requirements.25-2052 | 0.009313.9 |
Teach socially acceptable behavior, employing techniques such as behavior modification or positive reinforcement.25-2052 | 0.009013.5 |
Plan or conduct activities for a balanced program of instruction, demonstration, and work time that provides students with opportunities to observe, question, and investigate.25-2052 | 0.00517.6 |
Prepare, administer, or grade tests or assignments to evaluate students' progress.25-2052 | 0.00436.5 |
Prepare reports on students and activities as required by administration.25-2052 | 0.00406.1 |
Interpret or transcribe classroom materials into Braille or sign language.25-2052 | 0.00334.9 |
Interpret the results of standardized tests to determine students' strengths and areas of need.25-2052 | 0.00233.5 |
Organize and display students' work in a manner appropriate for their perceptual skills.25-2052 | 0.00213.1 |
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 |
|---|---|
Attend professional meetings, educational conferences, or teacher training workshops to maintain or improve professional competence.O*NET Task ID 22360 | 1.0 |
Establish and communicate clear objectives for all lessons, units, and projects to students.O*NET Task ID 22367 | 1.0 |
Maintain accurate and complete student records as required by laws, district policies, or administrative regulations.O*NET Task ID 22374 | 1.0 |
Administer standardized ability and achievement tests to elementary students with special needs.O*NET Task ID 22359 | 0.5 |
Collaborate with other teachers or administrators to develop, evaluate, or revise elementary school programs.O*NET Task ID 22361 | 0.5 |
Confer with other staff members to plan or schedule lessons promoting learning, following approved curricula.O*NET Task ID 22362 | 0.5 |
Confer with parents, administrators, testing specialists, social workers, or other professionals to develop individual educational plans (IEPs) for students' educational, physical, or social development.O*NET Task ID 22363 | 0.5 |
Coordinate placement of students with special needs into mainstream classes.O*NET Task ID 22364 | 0.5 |
Develop or implement strategies to meet the needs of students with a variety of disabilities.O*NET Task ID 22365 | 0.5 |
Interpret the results of standardized tests to determine students' strengths and areas of need.O*NET Task ID 22373 | 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