Research on AI-Driven Personalized Science Communication Pathways

Abstract

With the progress of scientific communication and the demand for intelligence in the new media era, the old one-way mode can no longer meet all the learning needs of the people. With the development of artificial intelligence, scientific communication can be personalised according to different interests, knowledge systems and cognitive styles of people to make it easier to understand. The concept and cognitive features of personalised scientific communication are introduced in this paper, and it is proposed that artificial intelligence can improve semantic understanding, build knowledge graphs, create multi-modal content, and establish a communication path based on content creation, audience analysis and integrated pathway linking. Optimisation of Multimodal Interaction and Iterative Update Strategies are also being studied. Based on the above research, artificial intelligence has changed the way science is communicated from linear diffusion to data-driven and cognitively coordinated, and new theoretical and methodological support has been provided for personalised and intelligent communication.