Understanding Artificial Intelligence

Understanding Artificial Intelligence

Learning Objectives

At the end of the lesson, you will be able to understand the concept of Natural Language Processing and its role in AI. At the end of the lesson, you will be able to explain the basics of Machine Learning and how computers use data to learn. At the end of the lesson, you will recognize what Neural Networks are and how they mimic the human brain. At the end of the lesson, you will be able to describe what Robotics is and how robots can operate autonomously.

What do you already know about Artificial Intelligence?

Natural Language Processing

Understanding speech and text analysis.

Machine Learning

Pattern recognition through algorithm-based training.

Neural Networks

Computer systems modeled after brain neurons.

Robotics

Autonomous machines assisting humans.

Definition List

Artificial Intelligence: A field of computer science that aims to create machines capable of intelligent behavior. Natural Language Processing: The ability of a computer program to understand human language as it is spoken and written. Machine Learning: A method of data analysis that automates analytical model building, allowing computers to learn from and make decisions based on data. Neural Networks: Computer systems structured to replicate the neurons and synapses of the human brain, facilitating complex pattern recognition and decision making. Robotics: The branch of technology that deals with the design, construction, operation, and application of robots.

What is the method of data analysis that automates analytical model building, allowing computers to learn from and make decisions based on data?

1. Machine Learning
2. Natural Language Processing
3. Artificial Intelligence
4. Robotics

Which computer program ability allows it to understand human language as it is spoken and written?

1. Neural Networks
2. Machine Learning
3. Natural Language Processing
4. Artificial Intelligence

What is the field of computer science that aims to create machines capable of intelligent behavior?

1. Natural Language Processing
2. Artificial Intelligence
3. Robotics
4. Machine 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.