New Research Finds Schools of Education Fail to Prepare Teachers to Use AI

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New Research Finds Schools of Education Fail to Prepare Teachers to Use AI

The rise of generative AI highlights a significant gap in teacher preparation programs. While some school leaders are proactively fostering AI literacy among educators, many colleges of education remain disengaged from this critical conversation. This disconnect poses a serious threat to the relevance of teacher prep programs in an AI-driven educational landscape.

Research indicates that teachers need support to transition from viewing AI as a threat to embracing it as a valuable educational tool. Many educators are already exploring AI's potential to enhance teaching and learning, yet higher education institutions are slow to adapt their curricula. To remain relevant, teacher prep programs must collaborate with K-12 districts and innovate their approaches to AI training.

• Teacher preparation programs are failing to incorporate AI training effectively.

• Superintendents are taking initiative to provide AI literacy for teachers.

Key AI Terms Mentioned in this Article

Generative AI

Generative AI refers to algorithms that can create content, such as text or images, and is reshaping educational practices.

AI Literacy

AI literacy involves understanding AI's capabilities and implications, which is essential for both teachers and students in modern education.

Plagiarism

Plagiarism in the context of AI refers to concerns about students using AI-generated content without proper attribution, impacting academic integrity.

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