AI in Teacher Education

The big picture

Education schools are grappling with AI integration, with concerns about plagiarism dominating the conversation and faculty confidence remaining low.

Key findings

• Plagiarism focus: Current AI discussions in education heavily center on detection and prevention, despite unreliable detection tools
• Faculty concerns: Include data privacy, job security, and unclear usage guidelines
• Leadership outlook: Program leaders show balanced optimism about AI’s potential while acknowledging risks

What’s next

• Internal changes: Universities need to incentivize faculty engagement and provide AI training
• External support: State policymakers could revise teaching certification standards to include AI literacy
• Collaboration: Education schools should partner with AI experts and peer institutions to avoid reinventing the wheel