In recent years, AI has become an integral part of our daily lives, permeating all areas of activity, including education.
Every day, new and more advanced educational technologies based on neural networks appear, including personalized learning platforms, intelligent tutors, automatic grading systems, and much more.
Advantages of using AI in education
- Personalized learning
One of the main advantages of AI in education is the ability to adapt the learning process and materials to the individual needs of each student.
AI algorithms can analyze knowledge levels, learning speeds, and preferred learning methods to provide each student with a unique lesson plan. This helps avoid situations where some students fall behind while others don’t get enough knowledge.
- Accessibility and flexibility
Artificial intelligence makes education more accessible and flexible. Students can learn at a time that’s convenient for them and at their own pace, which is especially important for those who are balancing school and work.
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- Intelligent tutors
AI systems can act as round-the-clock tutors, ready to help at any time. Neural networks (such as the well-known ChatGPT) are capable of explaining complex topics, answering questions, and providing recommendations for additional materials.
This is especially useful for students who are not always able to seek help from teachers or classmates or pay for additional lessons with tutors.
- Automation of routine tasks
Artificial intelligence helps not only students, but also teachers and instructors. AI significantly facilitates their work by automating the process of checking homework, tests, and exams. This allows teachers to devote more time to the creative aspects of teaching and individual work with students.
Disadvantages and risks of using AI in education
- Decreased motivation
One of the arguments against AI in education is the fear that students may lose motivation to study independently. When an algorithm is always at hand and ready to provide the correct answer, students may lose the incentive to search for solutions independently and develop critical thinking skills.
- Dependence on technology
The constant use of AI in the learning process can lead to excessive dependence on technology. If students rely exclusively on intelligent systems, this can negatively affect their ability to solve problems without the help of external tools, which can become a serious obstacle in the future.
- Inaccuracy and unreliability
Despite the development of AI systems, errors in data analysis or response generation are possible, which can lead to incorrect conclusions and assessments. It is important that students and teachers always double-check the information provided by AI.
- Problems with academic integrity
The use of AI to write assignments and research papers may lead to an increase in cases of academic dishonesty and plagiarism. It is difficult to control how original works created with the help of AI are and to what extent students independently process the information they receive.
