Today, anyone can easily learn a new foreign language, master a complex technical discipline, or learn to play any musical instrument. For easy learning of new material, you no longer need to visit the library and spend a lot of time on thick textbooks, it is enough to use special educational AI that will help you create an effective learning plan, find suitable resources and deepen your knowledge with great speed.
Educational AI is no longer perceived by us as something breakthrough and incomprehensible: it helps people at every step, allows them to simplify routine tasks and accelerate learning. In this article, you will learn what a neural network is for education, what its advantages and disadvantages are, how to properly use artificial intelligence to easily get new knowledge.
In a nutshell, a AI is a computer software that makes it possible to find a solution to a problem based on processing large amounts of data. The structure of such a program is inspired by the human brain, in particular, by the collaboration of a set of neural connections.
There are 2 types of AI models:
Biological – a collection of neurons in the body of a living being
Artificial – mathematical models based on the structure of neurons and their software implementation
Artificial network models are programs that can recognize images, process user messages, and respond meaningfully to them.
At the lowest level, the principle of artificial intelligence can be described as follows: the biological structure of a neuron is created programmatically. The axon is a dedicated memory cell that stores a certain range of values. Information about the “impulses” entering the neuron is stored in the form of integers and formulas.
Neurons are interconnected using computer code: when one neuron transmits information to another, it receives it, processes it based on mathematical formulas, and then transmits information to other neurons. This example shows how information is distributed within a network, causing the coefficients in the neurons to change, thereby training the model.
Step-by-step principle of AI operation:
The model receives information
Neurons transform information and transmit it further across the network
Information is processed inside neurons.
The program outputs the result
After processing huge amounts of data, virtual chatbots can easily perform various tasks that were previously considered the prerogative of humans. For example, popular AI language models can be used to effectively teach new skills and assimilate information. Educational AI are suitable for:
• Development of personalized curricula – artificial intelligence based on the user’s current knowledge and skills can help him create an effective curriculum for development in any field: from art to exact sciences
• Task completion assessment – modern AI can evaluate user work based on specified criteria, look for errors in mathematical examples or essays, and suggest how to correct them.
• Quick search for educational materials – AI helps you find relevant textbooks on any science, as well as illustrative examples to explain complex processes and concepts.
• Explanation of difficult topics – modern models are constantly trained on huge amounts of data, which allows them to find the right answers to even the most difficult user questions, as well as explain them in an accessible form
Learning AI have both their inherent advantages and serious disadvantages that prevent them from permanently replacing the classical learning model. The advantages of AI for education include:
Educational optimization – the use of AI allows you to get rid of the need for constant monitoring by the teacher
Increasing the availability of education – nowadays, learning using artificial intelligence is accessible to everyone
Adaptability of AI – neural network models quickly adapt to the constant change in learning methods, selecting the most effective practices
Creativity development – AI allows you to find even the most unusual solutions to a problem, which allows the user to develop a creative approach.
Individual approach – the chatbot is able to make an individual curriculum that will help students more easily master new topics and reinforce the material they have already learned.
Disadvantages of educational AI:
Insufficient reliability – chatbots are prone to software failures and errors during training, which can lead to incorrect responses from the neural network.
Difficulties in explaining – artificial intelligence may not always be able to clearly explain a particular topic.
All popular text neural networks, as well as AI capable of image processing, are suitable for improving the effectiveness of self-learning. This set of tools will be enough to get answers to even the most difficult questions.
AI for learning can be used on the Chataibot platform: you can use Chat GPT, Midjourney, Gemini and many other neural networks on the website, in Telegram or using a browser extension. This approach greatly facilitates the work with information, makes the learning process more comfortable and enjoyable.
How to learn using AI correctly
If you want to learn better, faster and more efficiently with the help of computer intelligence, you need to know some important tips to help you do this:
The system is above all else – the first step is to develop a personal training plan using a special AI
Learning in small steps – we strongly advise you to stick to the small steps approach: instead of fully exploring a large topic at once, you should disassemble all its components
Questions are not scary – when learning, you should always ask the AI all the questions you are interested in, this will allow you to better understand the topic.
Neural networks are an efficient learning tool that could help you to achieve great results with less effort. Popular AI chatbots, as well as convolutional models for image processing, can be used as an educational models.