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Can Computers Help Us Recycle More Plastic?

Provided by: Science Journal for Kids |Published on: January 22, 2024

Videos Grades 9-12, 6-8

Synopsis

This simplified scientific research paper introduces the problem of plastic pollution, describes the challenges with the current method of recycling plastic, and proposes a new technology to improve recycling systems.
The research demonstrates that computers with hyperspectral cameras can sort plastics by type, allowing for more plastic to be identified for recycling and a higher quality product made from the recycled material.
A number of videos are included to support a full lesson and the paper includes reading comprehension questions and a glossary.

Subjects: Physics, Computer Science, Career Skills

Authors: Science Journal for Kids

Region: Global

Languages: English

Positives

Students are encouraged to make small daily changes to reduce plastic waste using the three Rs: Reduce, Reuse, and Recycle.
The resource also links to the original scientific paper and provides a color-coded graph to simplify the data analysis.

Additional Prerequisites

Teachers must sign up to access the Teacher's Key with answers to the five questions.
Review the related resources, lesson plans, and articles for more ways to connect this resource to your curriculum.

Differentiation

A read-aloud video of the report is provided, which can be used with students who are visually impaired or for students of a lower reading level to aid in comprehension.
The experiment/demo video explains an activity that teachers can do with students to show the current method of sorting plastics using density.
Students can watch the interview with Dr. Mogens Hinge to hear directly from one of the researchers and learn more about his work and a career in the sciences.
This resource can be used in physics classes when learning about the electromagnetic spectrum, in Earth science classes when learning about plastic pollution and recycling, and in engineering or computer science classes when learning about machine learning.

Scientist Notes

Teaching Tips

Standards

Resource Type and Format