Generative artificial intelligence (generative AI) is revolutionising the educational process by enabling the creation of new and diverse content, interactive materials and experiences in a virtual world. This is particularly relevant for the didactics of engineering and technology, especially in the context of courses in this field. The possibilities of integrating generative AI into the teaching of engineering and technology have been explored with a focus on the design of interactive learning materials and the development of simulations and models.

This study examines and analyses different methods for integrating generative AI into the educational process, especially in engineering and technology didactics. A qualitative approach was used, including a review of existing literature and examples of good practise in the use of generative AI in education. The analysis included theoretical models, pedagogical approaches and technological tools that facilitate the use of AI in the creation of interactive learning materials, simulations and the personalization of learning experiences.

The analysis revealed that generative AI holds significant potential for improving the learning process in engineering and technology subjects. The reviewed examples demonstrated that the use of generative AI enables the creation of more interactive and personalised learning materials, aiding students in better understanding complex concepts. Additionally, generative AI can enhance the teaching of engineering and technology by supporting learning through virtual content and virtual reality, ensuring a safe learning environment without the risk of injuries that might occur when working with machinery integral to these courses. However, challenges were also identified, including the need for additional teacher training and the adaptation of existing curricula to effectively utilise this technology.

The research confirms that the integration of generative AI into the educational process can significantly enhance didactics in engineering and technology. This technology facilitates the creation of interactive, safe, and personalised learning experiences, contributing to a deeper understanding of learning content and increased student motivation. Nevertheless, further research is necessary to address challenges related to teacher training and curriculum adaptation for the successful integration of AI in education.

Keywords: Generative artificial intelligence, didactics of engineering and technology, engineering and technology, innovative teaching, interactive materials.