USING MACHINE LEARNING ALGORITHMS IN THE DEVELOPMENT OF AN EDUCATIONAL PORTAL

Abstract

This topic explores the use of machine learning algorithms in the development of educational portals. In the modern world of information technology, educational portals have become an integral part of the educational process, providing students and teachers with access to educational materials and resources on the Internet.

The use of machine learning algorithms on educational portals can bring a number of advantages, including:

Personalization of learning: machine learning algorithms can analyze students ' data based on their activity and achievements, and provide personalized recommendations and tasks.

Success analysis and forecasting: machine learning models can analyze learning data and predict student success, helping teachers make informed decisions in the educational process.

Fraud detection and Prevention: machine learning algorithms help detect fraudulent activities and improve the security of the educational portal.

Content analysis and improvement: machine learning can be used to analyze the quality of educational content and make recommendations for its improvement.

Automation of administrative tasks: machine learning algorithms help automate administrative tasks such as resource allocation, schedule scheduling, and resource management.

This topic explores the methods and technologies for using machine learning algorithms in the context of educational portals, as well as the advantages and difficulties that developers and educational institutions face when implementing these solutions. He also emphasizes the importance of ensuring the confidentiality and security of students ' data when using machine learning algorithms for educational purposes.