Kiwi or stoat overview
In this free e-learning activity, students create an app to automatically classify photos from camera traps, a common tool used for monitoring kiwi birds and introduced predators.
The activity is designed for NZ secondary school and older students and it has three parts:
- First, students learn about New Zealand biodiversity and image recognition (20 minutes).
- Secondly, students follow a step-by-step guideline to develop an image recognition app (1 hour).
- Lastly, the students complete a pop quiz to test their understanding (20 mins).
To run this activity you need to create accounts for you and your students. See how to do this below or email us to do it for you.
- New Zealand biodiversity
- Predator-prey interactions
- Species conservation
- Types of machine learning (ML)
- Interpretation of ML results
- Common problems of ML
1 – Create an educator account
Follow the required steps in machinelearningforkids to create an “unmanaged class account”.
2 – Create accounts for the students
Once you have created your teacher account, you will need to create accounts for your students in two platforms, machinelearningforkids and Wildlife.ai.
Use the “Student management” section of your “Admin page” to create accounts for your students in machinelearningforkids.
You will also need to create accounts for your students in Wildlife.ai. Note, use the same username and password in both platforms.
3 – Prepare the activity
The best way to prepare the activity depends on your class but here are some common preparations for you to consider:
- Plan how to share the link to the activity, usernames and passwords with your students.
- Print the activity worksheet for each student.
- Make sure the student computers have access to internet.
- You can propose students to work in pairs to facilitate the learning.