Video lesson: Introduction to Artificial Intelligence

Instructions for working with the video lesson "Introduction to Artificial Intelligence"

Duration: 4 minutes

This video lesson introduces the basic concepts of artificial intelligence.

Learning outcomes:

• Explain basic concepts in the field of artificial intelligence.
• Recognise the difference between machine learning and deep learning.

These learning outcomes highlight what you should focus on while watching the video lesson.

Watch the video lesson on the basic concepts of artificial intelligence and an interview with an expert in the field.

While watching, note key terms, definitions, and examples that clarify the fundamental differences between artificial intelligence approaches. You can take notes in your own notebook (paper and pencil) or in a digital tool of your choice.

The topic of applying artificial intelligence tools will be covered in more detail in later units. If you already have experience, you may use selected artificial intelligence tools and systems to organise and reflect on the content according to your preferences.

After watching the video lesson, reflect on the content presented and try to connect it to your own experiences using AI tools and systems.

Finally, read the conclusion below the video lesson, which summarises the main ideas and helps you check whether you have achieved the intended learning outcomes.

Watch the video lesson on the basic concepts of artificial intelligence:

Transcript

Welcome to the Introduction to Artificial Intelligence lesson. In the next few minutes, you will learn the fundamental concepts of artificial intelligence.

Artificial intelligence is a branch of computer science focused on developing systems and programs capable of performing tasks that normally require human intelligence. These tasks include learning, reasoning, speech and image recognition, language understanding, and decision-making. In simple terms, artificial intelligence enables machines to think, learn, and act in ways that resemble human behaviour.

Three key concepts underpin artificial intelligence: data, algorithms, and models. Artificial intelligence learn from data– such as images, text, or numerical records. Algorithms are sets of instructions or rules that guide a computer in processing this information. Models are the result of the learning process; they are systems that make conclusions or predictions based on learned patterns. Artificial intelligence systems are trained on data – the better the quality, diversity, and representativeness of the data, the more accurate and reliable the model.

Machine learning is a subset of artificial intelligence that focuses on developing algorithms that allow computers to learn and improve through experience rather than explicit programming. In other words, machine learning enables computers to learn from data without direct instructions. For example, a computer can learn to distinguish between human or robotic images by analyzing thousands of examples.

Deep learning is a field within machine learning that uses neural networks – systems inspired by the structure and function of the human brain. These networks consist of multiple layers, or “deep” structures, which allow them to recognize complex patterns in large datasets, such as in facial recognition, voice recognition, or automatic language translation.

How can artificial intelligence help save time or improve quality of life?

There are many practical examples of how artificial intelligence can help, from generating questions for students, creating summaries, grading student work, to improving teachers’ workflows. Tools such as ChatGPT and Perplexity can support these tasks, but it is important to remain critical and ensure that teachers remain central to the process.

Understanding the basic concepts of artificial intelligence is only the first step.

We invite you to continue exploring this field – artificial intelligence is rapidly shaping our future, in both business and education. As educators and educational professionals, we are expected to prepare new generations for a world in which artificial intelligence is part of everyday life. What matters most is that teachers maintain control over the content. Artificial intelligence is a tool – it is not a substitute for expertise or pedagogical intuition, but it can significantly speed up and simplify everyday work. Consider this. Review the basic concepts of artificial intelligence. 

How and why should artificial intelligence be applied in education? Continue the rest of this e-course to find out!

Conclusion:

Begin by learning the basic concepts of artificial intelligence (AI): data serves as the raw material from which AI learns, an algorithm is a set of rules for processing data, and a model is the result of training an algorithm on that data. During training, the model learns to recognise patterns; in the inference (prediction) phase, the model is used to draw conclusions or generate content. Distinguishing between machine learning – a broad approach to learning from data – and deep learning, which relies on deep neural networks, can help clarify the fundamental concepts of AI. This knowledge provides a solid foundation for further research and application of AI, as well as for critically examining its impact on education and digital society as a whole.