Artificial Intelligence as a Component of Media Didactics

Abstract

This article addresses the pressing issue of applying artificial intelligence (AI) in education, proposing its consideration as a component of media didactics. A brief overview of the historical development of both AI and media didactics is provided. The paper explores the various fields of AI application, with a particular focus on education. It outlines the stages of AI integration into educational contexts from the 1960s–1970s to the present day.
The potential functions of AI within media didactics are discussed, including adaptive learning, personalized instruction, automated knowledge assessment, information retrieval and sorting, and the generation of educational content. In the context of scientific research, AI can be employed for large-scale data analysis, automated literature searches, and the modeling and simulation of processes and phenomena.
The article examines both the advantages and challenges of using AI in media didactics. The review and analysis lead to the conclusion that artificial intelligence is a powerful tool with significant potential for advancing media didactics by introducing new opportunities for adaptive and individualized learning. AI integration can enhance the efficiency and speed of education, improve accessibility and flexibility, and enable a more personalized learning experience.
At the same time, ethical and technological challenges must be addressed thoughtfully. Maintaining a balance between traditional teaching methods and modern technologies is essential. Going forward, it is crucial that the use of AI in education complements rather than replaces human interaction between teachers and students, serving instead to enhance, support, and inspire the learning process. Furthermore, AI applications should be tailored to specific professions and educational programs.