Artificial Intelligence in Education

• AI
• Vocational Education

Artificial Intelligence in Education

Introduction to Artificial Intelligence

Definition and Key Concepts of AI

What do you already know about Artificial Intelligence?

Data Quality and AI

Data Importance and Quality in AI

Driving Forces Behind AI

Overview of AI Applications

AI Techniques

AI Techniques: Searching, Classification, Object Recognition

AI Methods and Algorithms

AI Methods and Algorithms: Decision Trees, Regression, Supervised and Unsupervised Learning

Practical AI Use

Problem-Solving with AI

AI Technologies

Principles and Applications of AI Technologies

Ethical Considerations

Norms, Laws, and Regulations Governing AI

Societal Impacts

Opportunities and Risks of AI in Society

Key AI Terminology

Artificial Intelligence (AI), Data Quality, Machine Learning, Natural Language Processing (NLP), Supervised Learning, Unsupervised Learning

Write down 3 things you learned in this lesson.

Have students enter three things they learned in this lesson. With this they can indicate their own learning efficiency of this lesson.

Write down 2 things you want to know more about.

Here, students enter two things they would like to know more about. This not only increases involvement, but also gives them more ownership.

Ask 1 question about something you haven't quite understood yet.

The students indicate here (in question form) with which part of the material they still have difficulty. For the teacher, this not only provides insight into the extent to which the students understand/master the material, but also a good starting point for the next lesson.