Artificial Intelligence Curriculum for Primary and Secondary Schools
AI for Developing Digital Competence
Biology
Plants Around Us
Plants Around Us
The goal of this lesson is to demonstrate the use of an artificial intelligence application for plant classification (specifically Pl@ntNet), to explain in general terms how these systems work, and to highlight their limitations.
Lesson Overview
Lesson Length
45-90 minutes
Recommended Age
Children aged 11-15
Tools
Teacher: A projector and the accompanying presentation.
Students: A phone, tablet or computer (one per student or group),
internet access, printed worksheets, pens, and scissors.
What Are the Students Learning?
Plants can be classified from a photo using artificial intelligence apps. Plant classification apps do not always provide correct results.
Why Are They Learning This?
By understanding how plant classification applications work, students learn to critically assess and verify the accuracy of results.
How Do We Know They Have Learned It?
Students classify a plant using an application based on machine learning and verify the accuracy of the result.
Bloom's Taxonomy
Applying: Students use the Pl@ntNet app to identify plants.
Analysing: They analyze the condition of the plants, assess whether
their placement is appropriate, and critically evaluate the accuracy of the identification results from Pl@ntNet.
Creating: They create an informational leaflet about plant care that
summarizes their findings and provides accurate and practical guidance.
Digital Competence
Professional Engagement.
Communication and Collaboration.
Five Big Ideas
5-B-I AI & Culture (AI in Everyday Life).
