Integrating Computational Thinking and Engineering Design in STEM: Exploring Logistics and Societal Impact

This paper examines how computational thinking and engineering design can be integrated into STEM (science, technology, engineering, and math) education through a hands-on lesson focused on logistics and its societal impact. In this activity, middle school students program Ozobots (mini-robots used to teach coding) to model delivery routes for Amazon.com packages, a task that mirrors real-world challenges. The students combine coding skills with real-world problem-solving, gaining practical experiences that will serve them well in the future. Students will focus on the logistics when they create and refine delivery paths using block-based coding while tackling challenges like traffic patterns, delivery priorities, and route efficiency. The lesson encourages creativity, logical thinking, and collaboration while introducing key concepts in robotics, logistics, and computational thinking. Additionally, students critically analyze the societal implications of logistics systems by comparing synthetic and natural materials, with a focus on sustainability and ethical considerations. Societal influences further connect to the impacts of computing standards in a way that relates how individuals and communities affect computing by how they behave, interact culturally, and engage socially. This approach enhances STEM literacy and cultivates a deeper understanding of the interplay between technology, logistics, and societal needs. It is also an interdisciplinary lesson addressing science, computer science, engineering, and mathematics standards. By integrating science, technology, engineering, and mathematics, students can see the real-world connections between these subjects, encouraging a deeper understanding and preparing them for the complex challenges of the future. These lessons enhance their academic growth and inspire creativity and collaboration, essential skills for success in the rapidly evolving world.