What is artificial intelligence and how does it work? (Intermediate level)
Objective: The worksheet provides a basic understanding of how artificial intelligence (AI) works at an intermediate level. Learners should be able to distinguish AI applications from classic programs, understand the technical learning process, and critically question algorithms in everyday life.
Content and methods: The content covers the basic definition of artificial intelligence, the distinction between static programs and adaptive systems, the three-step model of how AI works (data collection, pattern recognition, application), and the opportunities and risks of recommendation algorithms, such as filter bubbles and data bias. This is supplemented by practical case studies and the transfer of knowledge to school application scenarios. The methods include explanatory text work, tabular classifications, visual process diagrams to illustrate technical processes, analytical case studies, and creative transfer tasks in which learners take on developer roles to design their own AI ideas for everyday life.
Competencies:
- Technical understanding: Understanding the logic of algorithms and machine learning
- Judgment: Reflection on the limitations and error susceptibility of AI systems
- Design skills: Development of innovative solutions for one's own environment (school)
- Analytical skills: Distinguishing between different phases of the learning process using practical examples
Target group and level: From grade 8 onwards
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Target group and level
Grade 8 and above
Subjects
What is artificial intelligence and how does it work? (Intermediate level)
What is artificial intelligence?
Artificial intelligence (AI) means that computer programs can perform tasks that normally require human intelligence, such as understanding language, recognizing images, or making decisions.
Classification of applications
Analyze the digital applications listed in the table. Explain whether they are adaptive artificial intelligence or classic computer programs.
Visualization of how it works
Represent the three-step process of artificial intelligence (data collection, pattern recognition, application) described in the text graphically in the form of a flowchart.
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Application of the three-step model
Match the practical examples below to the corresponding phases of the AI learning process.
Analysis of the case study
Evaluate the case study.
- What tasks does AI perform and what specific characteristics does it need to recognize?
- Explain what user data the system needs in order to continuously improve its responses.
- Discuss the limitations of AI technology mentioned in the text.
Development of optimization proposals
Create a brief optimization concept. Suggest at least two specific measures that AI could use to reduce misunderstandings in everyday life and increase the recognition rate.
Development of optimization proposals
Create your own school AI
Imagine you are a team of developers tasked with inventing artificial intelligence for your school. This AI should help students or teachers in their everyday lives. Form groups of up to 4 people.
1. Develop the idea
Think together about which problem in everyday school life your AI should solve.
Think about situations such as homework, timetables, learning, organization, or communication.
2. Plan how it will work
Now think about how your AI would work.
Every AI needs data and must be able to recognize or decide something.
3. Consider problems and improvements
AI is not perfect. Good developers always consider what could go wrong and how to make it better.
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