Artificial Intelligence and Neural Networks in Education

Purpose of the Training

The aim of this training is to teach participants the fundamental principles of artificial intelligence (AI) and neural networks, and to demonstrate how these technologies can be used in educational processes through practical examples. Participants will gain knowledge about data-driven decision making, personalized learning, and automation systems in education.

Training Content

• Introduction to artificial intelligence and basic concepts
• Differences between machine learning and deep learning
• Working principles of neural networks
• Artificial intelligence applications in educational technologies
• Adaptive learning systems
• Student performance analysis and use of data
• Use of chatbots and virtual assistants
• Automation and content generation in education
• Preparing course materials with AI tools
• Ethics, data security, and artificial intelligence

 Learning Outcomes

At the end of this training, participants will:

• Understand the basic logic of artificial intelligence and neural networks
• Develop AI usage scenarios in educational processes
• Establish decision support mechanisms by analyzing student data
• Optimize educational content using AI tools
• Contribute to digital transformation processes in their institutions.