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A Framework for Approaching AI Education in Educator Preparation Programs

AAAI 2024 · Large language models › AI and society · approach: Teacher needs and AI curricula

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Presents a seven-strategy framework, developed by ISTE's AI Explorations for EPPs Faculty Fellows, for integrating AI education and AI-tool use into educator preparation programs.

Problem

Educator Preparation Programs lack resources for preparing preservice teachers and EPP faculty to integrate AI tools into teaching and to teach AI literacy to PreK-12 students.

Approach

A position-style framework of seven critical strategies (universal foundational AI understanding, AI instructional tools, AI4K12 Five Big Ideas, exploratory experiences, cross-curricular AI literacy, critical examination of equity/ethics/culturally responsive teaching, and program-wide infusion) grounded in a review of the literature and derived from a faculty fellowship cohort.

Key results

• ISTE's first AI Explorations for EPPs Faculty Fellowship cohort included seven EPPs from across the United States, and the paper derives seven critical strategies from the fellows' collaboration.
• The framework's strategies draw on the AI4K12 Five Big Ideas in AI (perception, representation and reasoning, learning, natural interaction, societal impact) for K-12 AI literacy guidance.

Limitations

• The framework is offered as a starting point rather than an exhaustive list and has not been empirically evaluated.
• Recommendations are high-level and require further research on implementation and effectiveness in EPPs.

Experimental setup

Builds on: TPACK AI4K12 Five Big Ideas in AI ISTE Standards CSTA K-12 Computer Science Standards

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