Teaching Overview
Learning Points
- Endangered Species Day highlights the ways we can help protect threatened and endangered species.
- Scientists have used NASA satellites to help protect Jaguars in South America.
- A Sumatran orangutan has used chewed plant paste with healing properties to treat a wound.
Curriculum Keywords
- endangered species day
- deforestation
- orangutans
Spark a Discussion
Endangered Species Day- On what day of the week is Endangered Species Day?
- How many different species of plants are there on Earth?
- What endangered animals can you think of?
Jaguars
- On which continent is Gran Chaco?
- What animal are the scientists hoping to protect?
- What are some of the causes of deforestation?
Orangutan
- What is the name of the orangutan?
- What type of plant did he use to make the paste?
- What other similar behaviours do orangutans and humans share?
More From Twig Science Reporter
Watch This Episode in Spanish
Use this version of the episode in Spanish to support the teaching of bilingual classes.
Credits
- NASA’s Earth Observatory Laumer et al.
- 2024 Scientific Reports & Safruddin, Armas Fitra, Ulil Azhari, Adami & TNGL & KLHK & MPI & UNAS & YEL
Discover More About Topics Covered in This Week's Episode
Classroom Resources
Use these resources to get the most out of the episode and engage your class in topical science!
Video Viewing Guide
This graphic organizer supports your students to capture their thoughts and questions as they watch the episode.
Access the GuideMake Your Own Science Episode
This simple guide helps your students to create their very own science episodes.
Access the GuideLanguage and Literacy Activities
This guide gives you ideas for how the episode can be used to support language and literacy activities.
Access the GuideTwig Science: A Complete Pre-K–8 Program for the NGSS
Immersive Investigations With High-Quality Multimedia
- Investigating, designing, building, and understanding phenomena
- Hands-on, digital, video, and print investigations
- Synchronous/asynchronous distance learning