Evaluate performance of educational staff.

Evaluate performance of educational staff. is a detailed work activity in O*NET — a concrete unit of work shared across 13 occupations and seen in 13 occupation-specific tasks. It rolls up into the broader work activity Evaluate personnel capabilities or performance. in Judging the Qualities of Objects, Services, or People .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 13 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 7 (54%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 2 of these tasks, with a mean mapped-usage share of 0.003% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Observe work of teaching staff to evaluate performance and to recommend changes that could strengthen teaching skills. · Instructional Coordinators · importance 4.5 · no direct exposure
• Conduct faculty performance evaluations. · Family and Consumer Sciences Teachers, Postsecondary · importance 4.1 · direct LLM exposure
• Supervise, evaluate, and plan assignments for teacher assistants and volunteers. · Preschool Teachers, Except Special Education · importance 3.8 · no direct exposure
• Supervise, evaluate, and plan assignments for teacher assistants and volunteers. · Kindergarten Teachers, Except Special Education · importance 3.7 · no direct exposure
• Supervise, evaluate, and plan assignments for teacher assistants and volunteers. · Special Education Teachers, Middle School · importance 3.7 · no direct exposure
• Conduct faculty performance evaluations. · Nursing Instructors and Teachers, Postsecondary · importance 3.7 · direct LLM exposure
• Supervise, evaluate, and plan assignments for teacher assistants and volunteers. · Elementary School Teachers, Except Special Education · importance 3.6 · no direct exposure
• Observe and evaluate the performance of other instructors. · Self-Enrichment Teachers · importance 3.5 · direct LLM exposure
• Conduct faculty performance evaluations. · Mathematical Science Teachers, Postsecondary · importance 3.4 · direct LLM exposure
• Arrange for supervisors to conduct teaching observations and provide feedback about teaching performance. · Teaching Assistants, Postsecondary · importance 3.3 · no direct exposure
• Observe and evaluate the performance of other instructors. · Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors · importance 3.1 · exposure with tools
• Supervise, evaluate, and plan assignments for teacher assistants and volunteers. · Middle School Teachers, Except Special and Career/Technical Education · importance 3.1 · direct LLM exposure
• Conduct staff performance evaluations. · English Language and Literature Teachers, Postsecondary · importance 2.9 · direct LLM exposure

Occupations that perform this

• Instructional Coordinators
• Family and Consumer Sciences Teachers, Postsecondary
• Preschool Teachers, Except Special Education
• Kindergarten Teachers, Except Special Education
• Special Education Teachers, Middle School
• Nursing Instructors and Teachers, Postsecondary
• Elementary School Teachers, Except Special Education
• Self-Enrichment Teachers
• Mathematical Science Teachers, Postsecondary
• Teaching Assistants, Postsecondary
• Middle School Teachers, Except Special and Career/Technical Education
• Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors
• English Language and Literature Teachers, Postsecondary

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-evaluate-performance-of-educational-staff,
  title  = {Evaluate performance of educational staff.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/evaluate-performance-of-educational-staff}
}