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Explore how generative AI tools and large language models can be strategically integrated into education to enhance critical thinking rather than replace it in this 36-minute conference talk. Discover scaffolding techniques that leverage Wolfram Language alongside AI to support deeper learning, and examine case studies demonstrating physics problem-solving approaches that compare student-led versus model-led prompting strategies. Learn how different prompting methods impact the depth of student reasoning and understanding. Gain insights into a comprehensive framework that aligns advanced prompting strategies such as chain-of-thought and ReAct with established inquiry-based pedagogical approaches. Review practical assessment rubrics designed to evaluate and center student-AI interactions as meaningful learning opportunities, transforming how educators can measure and support learning in AI-enhanced educational environments.
