Artificial Intelligence Curriculum for Primary and Secondary Schools
AI for Developing Digital Competence
Social Studies I
Recommendation Systems on Social Media
Recommendation Systems on Social Media
The topic of this lesson is recommender systems, which use machine learning methods to suggest content — on social media, streaming platforms, in search engines, and so on. The goal of the lesson is to help students understand how content is recommended to them in the online space and what the benefits and downsides of this are.
Lesson Overview
Lesson Length
45 minutes
Recommended Age
Children aged 13–18
Building Blocks
Social Media and Recommendation Systems.
Tools
Teacher: Projection equipment and a presentation for display.
Students: Writing utensils, worksheet, and optionally a mobile phone with internet access.
What Are the Students Learning?
Recommendation systems track user behavior and use it to suggest content. There are different models for how content is recommended on social media platforms.
Why Are They Learning This?
By understanding how recommendation systems work, they are able to critically evaluate the content suggested on social media.
How Do We Know They Have Learned It?
They describe different models of how recommendation systems work.
Bloom's Taxonomy
Remembering: Students acquire basic concepts related to recommendation systems and their models on social media.
Applying: They apply their understanding of how these systems work to analyze the content they encounter on social media.
Creating: They develop arguments for and against recommendation systems, weighing their advantages and disadvantages based on the knowledge they have gained.
Digital Competence
Facilitating Learners' Digital Competence.
Five Big Ideas
5-A-III Ethical AI (Practicing Ethical Design).
5-B-I AI & Culture (AI in Daily Life).
5-B-II AI & Culture (Trust and Responsibility).
