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Engineering Stories: Integrating AI, Literature, and Design for Inclusive STEM Learning

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Session description

Attendees will be immersed in a student-centered, literacy-integrated STEM lesson that combines culturally responsive literature and the engineering design process to foster engagement, creativity, and problem-solving in elementary students. Acting as students, they will analyze diverse children's books, identify real-world problems, and prototype AI-enhanced solutions. This hands-on model lesson demonstrates discussion scaffolding, problem-solving strategies, and AI-driven differentiation, providing firsthand experience in how AI tools and diverse storytelling can support inclusive, inquiry-driven STEM education. This immersive, hands-on session will equip educators with practical strategies, AI-enhanced tools, and a student-centered framework to create inclusive, engaging, and impactful STEM learning experiences in their own classrooms.

Outline

This model lesson immerses attendees in a student-centered learning experience integrating culturally responsive literature and the engineering design process.

📌 Read-Aloud & Story Analysis (10 min) – Participants act as students, engaging with a diverse children’s book and discussing character challenges via AI-generated prompts.

📌 Problem Identification & Brainstorming (15 min) – Small groups map character challenges to the engineering design process, using AI brainstorming tools for solution generation.

📌Hands-On Prototyping (15 min) – Attendees create physical or AI-enhanced digital prototypes (Tinkercad), testing and refining designs.

📌 Reflection & Implementation (10 min) – Groups present solutions, receive AI-driven lesson adaptations and complete a collaborative digital reflection.

This experience will include:
📌Engagement: Peer-to-peer collaboration, hands-on prototyping, AI-enhanced brainstorming.

📌Technology Integration: AI-driven differentiation, interactive design tools (VR/AR for 3D visualization), and AI-generated lesson plans for classroom implementation.

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Presenters

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Teaching & Technology Fellow/ Professor
Bridgewater State University
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Professor
Bridgewater State University

Session specifications

Topic:

Artificial Intelligence

Subject area:

Science, Technology Education