Artificial intelligence curriculum for primary and secondary schools
AI and the development of digital comptence
Natural History
Plants around us
Plants around us
The aim of the lesson is to show the possibilities of using artificial intelligence applications for plant classification (specifically Pl@ntNet), to explain in general terms how these systems work and where their limitations are.
Information about lessons
Subsidies
45-90 minutes
Vintages or preconceptions
5.-9th year of primary school
Aids
Educator: projection equipment, presentation to show
Students: Phone, tablet or computer for each (or group), internet connection, printed worksheets, writing utensils and scissors
What pupils learn
Plants can be classified from a photo using artificial intelligence applications.
Plant classification applications do not always work correctly.
Why is it taught
Based on their understanding of how plant classification applications work, they critically assess and verify the accuracy of the result.
How do we know if they've learned
Using a machine learning application, they classify the plant and verifies the correctness of the result.
Outputs of the RVP
Natural History:
P-9-8-01 applies practical methods of learning about nature
Computer Science: I-9-1-01 obtains information from data, interprets data, detects errors in other people's interpretations of data
I-9-3-03 defines a problem and determines how to use a data record to solve it; based on recommended and own design, constructs a data record table and sets up rules and procedures for working with records in data records
Bloom's taxonomy
Application: Students use the Pl@ntNet application to identify plants.
Analysis: They analyse the condition of plants, assess whether the conditions of their location are suitable, and critically assess the accuracy of the results of the Pl@ntNet application identification.
Creation: They create a fact sheet on caring for plants that summarises their findings and provides factually correct and useful information.
Digital competences
Use and engagement
information and communication
Five Big Ideas
5-B-I AI and culture (AI in everyday life).
