Video lesson: Artificial Intelligence in Education: Differentiation and Personalization

Instructions for working with the video lesson "Artificial Intelligence in Education: Differentiation and Personalisation"

Duration: 3 minutes

This video lesson introduces the fundamental concepts of differentiation and personalisation in the context of applying artificial intelligence in education. The goal is to help you understand how artificial intelligence can support the adaptation of teaching to meet the diverse needs and abilities of students.

Transcript

Welcome! In this lesson, we will explore the role of artificial intelligence in education, focusing on its ability to adapt teaching to each student.

Imagine a classroom in which artificial intelligence monitors each student's progress, suggests personalized tasks, and identifies where additional support is needed. Artificial intelligence tools enable teachers to gain insights into hidden learning patterns that would be difficult to detect without technology.

How can artificial intelligence assist in the teaching process?

Assoc. Prof. TOMISLAV STIPANČIĆ, PhD:

There are many examples. I would like to highlight one that is personally relevant to me: learning programming. For example, ChatGPT can be used as a tool for quick code review, debugging, and interactive feedback, allowing students to check their solutions instantly. They receive responses in real time and can consult such a tool 24 hours a day, without requiring the teacher to solve problems for them. Not to mention Periplexity and other tools that provide additional information for motivated students who want to learn more.

I hope you can now imagine such a classroom in your own environment.

What are differentiation and personalization in the context of using artificial intelligence in teaching?

Differentiation means adapting teaching methods and content to different groups of students, taking into account their abilities, prior knowledge, or learning styles. Personalization goes a step further, allowing each student to learn at their own pace, in a way that suits them best, and in line with their interests and goals.

In education, artificial intelligence is already present through personalized learning platforms. For example, AI-driven systems such as Curipod can adapt teaching materials to individual student needs, identify their strengths and weaknesses, and recommend additional exercises. Chatbots also support students in real time, answering their questions and providing guidance when needed. This enables greater interaction and more effective learning, regardless of a student's learning pace or style. Artificial intelligence is a technology that helps us teach better and more effectively. Is that really the case? Judge for yourself.

I invite you to explore examples of artificial intelligence tools and systems, and ways to apply them in higher education, in the continuation of the e-course. Until then, best regards to everyone!

Conclusion: 

Artificial intelligence does not replace the teacher but empowers them, enabling more effective differentiation and personalisation of learning. As education professionals, we have the opportunity to use these technologies to better understand our students' needs and improve education.