Artificial Intelligence for Study and Practice: How Technology is Changing Education
Artificial intelligence (AI) and technology have already found their application in medicine, charity, ecology, and other socially significant areas.
Education is among them. Here, neural networks help reduce the routine workload of teachers, make learning more personalized and fun for students, facilitate entry into new professions, and support students morally.
The wr1ter.com service helped us prepare an overview of the use of AI technology in education with examples of working services and practices.
1. Automation of routine for teachers
Quality education depends on the teacher: his creativity, ability to present material, and involvement of students. However, teachers and professors often spend most of their time checking tests, homework, and essays.
Solutions based on neural networks help relieve them from routine. For example, the Gradescope program allows you to check tests in physics, mathematics, chemistry, biology, and other subjects.
The user preloads the test and answers into the program and then scans sheets of paper with completed assignments from students.
The neural network recognizes handwritten text, compares it with the correct answers, finds mistakes, and groups them so the teacher can give feedback on students’ weak points.
2. Development of content, tests, and quizzes
Another routine operation in education is to create questionnaires and tests to monitor knowledge. There are also AI assistants in this area.
For example, the PrepAI test creation service. It allows you to create a test based on your material (notes, books, video lectures) or enter a topic into the search window and collect a test based on materials from the Internet.
The service operates based on a neural network that recognizes content, segments it, and generates different response options. On PrepAI, you can make tests for both schoolchildren and university students.
Another example of automated content development is the Smartest Learning service.
The tool analyzes your text documents and, based on them, can create presentations with illustrations and graphs, quizzes, and tests. All your projects can be saved to the library and edited here.
3. Personalization of learning
Artificial intelligence algorithms help determine a student’s level and create a personalized learning plan for him or her.
A striking example is Duolingo—an application for learning foreign languages. Initially, you take a language learning test, and the application collects exercises of suitable complexity.
Then, based on each lesson you complete and your successes and mistakes, Duolingo selects exercises to help you fill in the gaps and improve your level.
The application also has a built-in speech recognition system that allows you to practice your pronunciation skills.
Thinkster, a service for teaching mathematics to schoolchildren, works similarly.
Interaction with the platform begins with a test, and then the application selects exercises that suit the user and changes the program depending on how the student performs.
Working on Thinkster also includes lessons with a tutor, who uses student analytics to help create individual lessons.
4. Help with IT practice
To get help in education, you don’t have to go for specialized services—even ChatGPT can be useful.
For example, the neural network helped students of the Skillfactory front-end development coursework at the Megahackathon, a large practical event with the participation of real customers.
The team was given the task by the HotKey company, which developed a neural network for generating pictures for its clients.
Front-end students were asked to create a web interface to manage this neural network. Some team members only learned front-end for two weeks, but with the support of a neural network, they coped with the task perfectly.
5. Support and adaptation
Learning is more productive when schoolchildren and students feel comfortable and supported in a new environment. Neural networks can also come to the rescue here.
For example, Emory University students (USA) developed a chatbot based on artificial intelligence, Emora, which can communicate on deep topics and help people with anxiety and depression.
The first audience of this service is first-year students who need support when moving, changing their lifestyle, and adapting to a new team.
