Video lesson: Advantages and Challenges of Personalizing Education through Artificial Intelligence

Instructions for working with the video lesson "Advantages and Challenges of Personalizing Education through Artificial Intelligence"

Duration: 5.5 minutes

This video lesson introduces the advantages and challenges of personalising education through the use of artificial intelligence in the educational process. The goal is to promote understanding of how artificial intelligence can support the adaptation of teaching to the diverse needs and abilities of students.

Learning outcomes:

• Explain how artificial intelligence contributes to personalising education.
• Recognise the advantages and challenges of personalisation in higher education, especially the challenge of bias.
• Observe the teacher's role in the pedagogical application of artificial intelligence tools and systems.

Before watching the video lesson, it is recommended that you review the stated learning outcomes so you know which aspects of the content to focus on.

Next, watch the video lesson, which features an interview with an expert who further explains the application of artificial intelligence tools and systems in education.

As you watch, note key terms, definitions, and examples that illustrate how AI can support personalisation in learning and teaching, as well as the teacher's role. You may take notes in your own notebook (paper and pencil) or use a digital tool of your choice.

The topic of applying AI tools will be explored in more detail in later units. If you already have experience using these tools, you may incorporate them into your work as you prefer – for example, to organise notes, reflect on content or visually display relationships between concepts.

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

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

Watch the video lesson on the advantages and challenges of personalising education with AI.

Transcript

Welcome! In this video, we explore how artificial intelligence can personalize education by tailoring content, pace, and learning approaches to each student. However, along with its many benefits, it is also important to understand the challenges of this approach.

As explained earlier, personalization means adapting education to the individual needs, interests, and preferences of each student. This includes the choice of content, learning pace, evaluation methods, and access to teaching materials.

Artificial intelligence can analyze data about students and adapt content in real time. It enables:recommendations based on knowledge level and interests, individualized feedback, and timely monitoring of progress and detection of difficulties.

These tools can increase motivation and engagement, especially in large groups of students.

Although artificial intelligence offers significant opportunities for personalization, it also brings serious challenges – technical, ethical, and legal. What are the most important legal issues regarding the use of artificial intelligence in education, especially in the context of protecting student privacy?

TENA VUK, lawyer:

When collecting and processing data, it is important to apply the GDPR as the primary regulatory regulation. This means it is necessary to have a valid legal basis, clearly defined from the outset, to collect only the minimum necessary data, and to ensure transparency in the operation of the algorithm. Informed consent from the student is required, meaning the student must be informed about how their data is used, who has access to it, how long it will be stored, and that they have the right to access, delete, or correct their data. Another challenge is the "black box" effect, when the teacher does not know how the system makes decisions, making responsibility unclear. This can lead to serious consequences, such as assigning the student an inappropriate level or direction of learning. It is important for teachers to monitor the entire process and ensure fairness and quality in learning.

It is clear that artificial intelligence can help, but only if teachers, higher education institutions, and education systems know how to use it responsibly, while respecting the rights of students, teachers, and other stakeholders in the education system.

Artificial intelligence can help teachers monitor progress, identify difficulties, and adjust teaching content, but human judgment is essential.

Artificial intelligence provides data, but the teacher interprets it, asks questions, and offers guidance that the tool cannot provide.

Based on this, you can see that you have made great progress in text analysis – what do you think helped you the most?

LEA PRIŠĆAN, student:

I think the artificial intelligence tool helped me pointing out what was causing me the most difficulty in the text. I noticed that it indicated my main issue was understanding the text, so I started to focus more on the introductory and concluding sentences. However, I did not fully understand the problem until we discussed its essence in person.

Personalization with the help of artificial intelligence opens up many possibilities, but it requires responsible and thoughtful application. Now we must answer the question: how can we use artificial intelligence to better understand the needs of our students without losing the human touch in teaching? We will find out in the rest of this course. Hello everyone, let us continue with the next lessons!

Conclusion:

Artificial intelligence offers significant potential for personalising education, from adapting content and learning pace to identifying student difficulties. However, its effectiveness depends on the teacher's ability to interpret data, make pedagogical decisions and maintain the human dimension in the educational process. Personalisation is not just a technical issue but also a pedagogical one, which is why it requires a thoughtful approach, ethical responsibility and ongoing professional reflection.