Current trends in the use of neural networks in education

The article discusses current trends in the use of neural networks in education. It describes key algorithms and applications, such as GPT-4, AlphaGo, voice assistants, and plagiarism detection systems, which are employed for personalized learning, intelligent tutoring systems, educational data analysis, automated grading, and test generation. The article highlights how neural networks promote inclusivity and accessibility in education while also addressing potential technical limitations, ethical concerns, and risks of technology dependence. It also outlines prospects for integration with virtual and augmented reality, which may enhance the learning process.