How is AI Combined with AR and VR in Education

Virtual Reality (VR), Augmented Reality (AR), Artificial Intelligence (AI): These new methods do not seem to be novel and bewildering anymore. They are slowly creeping into our lives and injecting novelties. Think about a world that has virtual unicorns that walk around your house or that furniture overlays and give you an idea of how your living room will look with a new sofa. It is not science fiction, but the thrilling convergence of AR and VR technology.

However, what should you introduce that is another level of smartness to this immersive blend? Artificial intelligence is changing AR and VR at a very fast rate, unleashing additional possibilities for app owners, product developers, and every person who is keen on innovative software solutions. This blog will give you a brief understanding of how it is combined with AR and VR in education.

What are AI, AR and VR?

Augmented Reality (AR)

AR in education introduces the digital aspect into the real one, which makes the students learn more interactively. It allows the students to view objects that do not exist physically, such as 3D models or even animations, in their classroom.

Example

Consider an example of a biology lesson where learners could view a 3D image of the human heart on their tablets. They can spin it to enlarge and to study its components without a real heart!

Virtual Reality (VR)

VR places students in an entirely virtual world, and the learning process becomes more of an adventure. Through a VR headset, students can have an experience of visiting a place, situation or even a past experience as though they actually were there.

Example

Imagine a history lesson, and students have VR headsets, and they are touring ancient Rome in a virtual reality. They can walk, interact with characters, and view what life was like at the time, and this makes the lesson more engaging and memorable.

Artificial Intelligence (AI)

AI assists in developing individualised learning experiences among the students. It can assess the performance of the student and recommend resources or lessons that suit the student.

Example

Imagine a learning application that will monitor the mastery of math skills in a student. In case a student has a problem with fractions, the AI can suggest additional practice tasks or videos to explain the subject in another manner so that the student can learn gradually.

How AI Enhances AR and VR in Education

Virtual Reality (VR), Augmented Reality (AR), Artificial Intelligence (AI): These are not new approaches that are hard to understand any longer. They are gradually infiltrating our lives and bringing novelties. Imagine a world with virtual unicorns that walk in your house or furniture superimposes and provides you with a vision of what your living room will be with a new couch. It is not science fiction, yet the exciting meeting of AR and VR technology.

But what must you add that is still another stage of ingeniousness to this plunge in the world of events? The AR and VR are evolving at an extremely rapid pace with the help of artificial intelligence that opens up more possibilities to the app owners, product developers, and to each individual who is interested in the innovative software solutions.

AI and Smart Learning: The Role

Whereas VR and AR are more immersive, AI is more intelligent and personalised. AI-based learning systems interpret user behaviour, performance and speed of learning and optimise training content in real time. This implies that there are no two learners who have the same path.

AI can:

• Determine areas of skills deficiency and prescribe specific modules.

• Dynamic difficulty adjustment.

• Give immediate performance and feedback.

• Forecast the next-day training requirements.

• Through personalisation of learning experiences, AI makes the training process efficient, topical and focused on personal and organisational objectives.

 

 

 

 

 

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Future Trends

Nobody is aware of the future. However, certain trends already refer to the fact that such a direction as AI-powered AR/VR is going to evolve and get better. The cause of this is advanced technologies. We will have a glance at several of them.

• Generative AI: This enables the user to generate 3D landscapes, textures, as well as animations based on simple written instructions like descriptions, instructions or queries. Generative AI enables individuals to author and edit digital content with the help of natural language without having to use complicated programs or artistic capabilities. Primarily, generative AI is a smart digital content generator assistant that comprehends and creates images according to the speech.

• Brain-computer interfaces: How does it work? In this case, the AI is employed to communicate and interact with the brain of the user with the help of sensors and electrodes. Brain-computer interfaces enable the user to control and affect the content of AR/VR using his or her thoughts and emotions. As an example, one is able to transform the colour, the shape or the sound of the material by simply thinking it through.

• Machine learning to make real-time adaptations: Recent machine learning makes AR/VR environments adapt and change in real time. These intelligent computer systems can learn by observing the behaviour of users. How does this work? They monitor the behaviours of users, process the information and update the digital contents in real time to the best suitability of each user.

• Spatial computing: It can be described as the smart technologies that can be used to learn about the physical space and the environment around us. This enables the easy incorporation of digital content into the real world of 3D by the AR and VR applications.

Consider having an AR application, and you can furnish your living room with a virtual couch. Spatial computing Relying on AI, calculates the size and shape of the real area of your living room. This will enable the application to fit the virtual representation of the sofa in the actual room so that it fits perfectly and does not crash into the walls and other pieces of furniture. And in the absence of spatial calculations, AR objects would simply be flat overlays that would not necessarily conform to the geometry of the real world.

Conclusion

In conclusion, AI is making AR and VR both more advanced and better for students. With the help of AI, both AR and VR have become more effective, personalised and immersive. Augmented reality and virtual reality were already helping students in a better learning process. Now, with the addition of AI, it has become more effective, as it analyses the learner behaviour, provides real-time feedback, and adapts to changing information.

With the help of AI, you can personalise AR and VR according to each learning style and speed. As mentioned in this blog, the future is all about AI, and the upcoming trends also include AI, machine learning and spatial computing. There are obviously some challenges that may be faced, as mentioned in this blog, but once you overcome these cchallengess you will enjoy great benefits.