Lesson 396 of 1550
AI in Teacher Evaluation: Where to Tread Carefully
AI in teacher evaluation is high-stakes and contested. Where it fits requires careful design and union dialogue.
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What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2teacher evaluation
- 3high-stakes
- 4union dialogue
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Section 1
The premise
AI in teacher evaluation is high-stakes; deployment requires careful design and stakeholder dialogue.
What AI does well here
- Engage teacher unions and associations early in design
- Use AI for descriptive analysis (not evaluative judgment alone)
- Maintain administrator authority on evaluation decisions
- Build appeal pathways and transparency
What AI cannot do
- Use AI evaluation without union dialogue
- Substitute AI for substantive observation
- Make evaluation decisions feel arbitrary or opaque
Key terms in this lesson
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