Artificial Intelligence Curriculum for Primary and Secondary Schools
The robots Hoo and Ray are programmed to constantly learn new things! But what does it actually mean to learn? And how do humans and robots learn? Humans and machines wouldn’t be able to learn without perceiving the world. And as we already know, humans perceive the world through their senses, while machines use sensors.
The lesson begins with an introduction of the robots Hoo and Ray, who help children understand the principles of perception and learning. The teacher initiates a discussion about human senses and their importance. Then, students match each sense to the sensors used by machines. Next comes an interactive part, where students work with worksheets and complete tasks aimed at understanding the differences between human and machine perception. Hoo and Ray present fun scenarios that show how machines interpret the world differently than humans. The lesson also includes a group activity, where students discuss how technology can help people and come up with their own examples of how sensors are used in everyday life. The lesson ends with a reflection, where children summarize their learning and think about the ways in which humans and machines differ in perception—and how each can do things the other can’t.
Children aged 8-11, 45—90 minutes.
Teacher: Printed worksheets and presentations (to be shown). Students: Writing supplies.
Human senses, sensors.
Humans perceive using their senses, machines using sensors.
Understanding how machines perceive is important for understanding the subsequent curriculum.
They will describe the differences in perception between humans and machines. They will state the positive benefits of technology for individuals or society.
Facilitating Learners' Digital Competence.
Understanding: Students will learn the differences between human senses and machine sensors and their functions.
Analyzing: Students analyze and evaluate how technologies mimic human senses and how they can be used to solve specific problems.
1-A-II Sensing (Computer Sensors).
3-A-I Nature of Learning (Humans vs. machines).
5-D-II AI for Social Good (Using AI to Solve Societal Problems).