Artificial Intelligence Curriculum for Primary and Secondary Schools
AI for Developing Digital Competence
Social Studies IV
Emotion Recognition
Machine Emotion Recognition
This activity focuses on machine-based emotion detection from human facial expressions. The topic is approached primarily from an ethical perspective, but the lesson also explains how these systems work. The teaching material also includes an extension activity on sentiment analysis from text. While the lesson doesn’t directly follow on from the previous ones, it forms an important piece of the puzzle in understanding the modern world.
Information about lessons
Lesson Length
45-90 minutes
Recommended Age
Children aged 13-16
Building Blocks
Emotion Recognition.
Tools
Teacher: Projection equipment, presentation.
Students: Computers or tablets with a camera.
What Are the Students Learning?
Artificial intelligence systems can detect emotions in text, images, videos, or voices with some accuracy.
Why Are They Learning This?
They think critically about the use of digital services and devices in everyday life.
How Do We Know They Have Learned It?
They will explain the principle of emotion recognition from human faces. They will describe the ethical aspects associated with this technology.
Bloom's Taxonomy
Understanding: Students explain the principles of emotion recognition in text, images, and voice.
Applying: They use MorphCast to analyse emotions.
Analyzing: They evaluate the results of emotion recognition and discuss their accuracy and limitations.
Digital Competence
Use and involvement.
Benefit and development.
Five Big Ideas
4-C-I Understanding Emotion.
