Innovative STEM Classroom Projects: From Gear‑Powered Fans to Arduino Robots

In recent years, STEM education has attracted growing attention, with more than 600 middle schools nationwide introducing STEM curricula; however, many existing cases focus narrowly on 3D printing, robot programming, or open‑source hardware, offering limited, fragmented activities that are easy to operate but lack real‑world problem solving. The following three case studies illustrate diverse, design‑oriented STEM applications in education.

Case 1: Small Fan Engineering Challenge

This activity, conducted with second‑grade students, helps them understand gear rotation principles. Large gears drive small gears to accelerate, while small gears drive large gears to decelerate, culminating in the construction of a hand‑cranked fan.

(1) Students count the teeth on the large and small gears and record the numbers.

(2) They assemble a gear system, rotate the axle of each gear, and observe how turning one gear causes the other to move, illustrating meshing teeth.

(3) Students compare rotation speeds of the gear axles, discovering that the small gear completes a rotation with eight teeth while the large gear requires forty teeth, integrating mathematical concepts.

(4) They discuss optimal placement of fan blades: mounting them on the small‑gear axle yields faster rotation, reflecting modern design thinking.

(5) Students build their own hand‑cranked fan and test its operation.

(6) When the fan spins but produces little airflow, students identify the problem (ineffective blades) and redesign the blades, fostering creativity and iterative improvement.

This activity starts with gear concepts, leads students to design an accelerating mechanism, and culminates in constructing a functional fan, embodying mathematical and scientific innovation in education.

Case 2: Automatic Street Light

The goal is to design and build a street light that automatically switches on and off based on ambient light, introducing students to photo‑electric sensors and basic automation.

(1) Students recall that street lights turn on at night and off during the day, and consider how to control them automatically, especially under varying weather conditions.

(2) They discuss using a sensor to detect ambient light intensity, turning the light on in darkness and off in brightness.

(3) The concept of a photo‑electric sensor is introduced: one LED emits light, another receives reflected light, and the sensor outputs a value to the robot controller.

(4) Students learn to measure ambient light with the sensor, then design and assemble a personalized automatic street light using the robot controller, sensor, LED, and building blocks.

(5) Programming is used to control the street light; depending on skill level, students may write code or follow a provided program.

(6) The completed street light is tested in a dark box (simulating night) and a bright environment (simulating day) to verify automatic operation.

This activity integrates science, mathematics, and automatic control, allowing students to acquire practical knowledge while enhancing hands‑on abilities.

Case 3: Arduino Robot

The Arduino robot course combines mathematics, physics, computer science, and multimedia, embodying the four pillars of STEM: Science (electronics and physics), Technology (Arduino programming), Engineering (software engineering), and Mathematics (logical reasoning).

Under the STEM philosophy, Arduino robot teaching emphasizes interdisciplinary practice, creativity, and hands‑on experimentation. Students build and program robots, exploring scientific concepts and developing problem‑solving skills through iterative design.

The curriculum selects life‑related case studies and contemporary topics to spark interest, aligns with information technology and integrated practice course standards, and adopts experiential learning methods using visual, auditory, and tactile media.

Teaching strategies include pre‑planned lessons, goal‑oriented design, and supportive scaffolding from teachers to ensure students can apply foundational knowledge to solve real‑world problems.

Reference:

Yang Xianmin, Wang Juan, Wei Xuefeng. Internet+ Education: Learning Resource Construction and Development. Beijing: Electronic Industry Press.