The multimedia possibilities of artificial intelligence and media conversion

Purpose -The aim of the study is to summarise the most common AI-based media generation tools, mostly available for free, and to examine their inputs and outputs from a media and data conversion perspective.The research will also investigate how these AI-based tools offer new options to address different media conversion requirements, in particular the specificities of the multimedia content they generate.Methods -The study used an empirical approach, analysing media generation processes using specific AI tools.The content produced by the tools was evaluated on the basis of heuristic criteria, focusing on the types of data conversion and the structural and linguistic characteristics of the content. Results -AI-generated verbal and multimedia content, although based on different editorial principles and inputs, is increasingly indistinguishable from human-generated content. The tools investigated can effectively convert data in different formats, opening up new avenues for the development, creation and adaptation of digital learning materials.Value -The research highlights the potential of AI-generated content and the underlying technologies (media conversions) to support learning and teaching processes.However, their application requires further critical examination, particularly with regard to the authenticity, quality and pedagogical value of the content.