The complex and interdependent relationship between AI, robotics and learning highlights that these disciplines influence each other and contribute to each other's growth, making a significant contribution to learning processes. AI systems can allow effective analysis of data also collected through robotic sensors, allowing effective learning processes to be triggered. The dialogue paradigm is the approach that is a conjunction between AI, robotics and learning, the dialogue paradigm, understood as bidirectional and collaborative interaction, represents a meaningful change compared to traditional models of human-machine communication, with a focus on dynamic adaptation. It explores how AI technologies, through NLP and machine learning, can facilitate an effective dialogue between human users and robotic systems. Robots equipped with advanced AI can interpret context, recognize intentions, and respond appropriately, thus improving the learning experience. The dialogue paradigm not only enhances human-machine interaction, but also fosters active and collaborative learning. The dynamic approach allows you to create personalized learning environments that are stimulating and more effective than traditional methods. The paradigm of dialogue, from a collaborative perspective, is essential to use AI systems capable of supporting and improving fundamental skills. AI can facilitate dialogue that promotes active learning through the perspective of the dialogue paradigm that highlights how the integration of AI and robotics into learning can not only revolutionize the way humans interact with machines. Considering dialogue in terms of differences with respect to traditional models of human-machine interaction, the aspect of bidirectionality and mutual understanding is emphasized. Strategies are defined, in the dialogue paradigm to integrate AI and robotics into learning: the research explores how AI can be integrated into interaction and communication processes in learning processes to improve dialogue between humans and machines and develop critical thinking and strategic problem-solving, and understand the context and intentions of users and analyze cognitive models. These technologies can radically transform the way we learn; in practice, it can be said in summary that the approach of the dialogue paradigm demonstrates that the integration of AI, and the dialogue paradigm, in learning processes revolutionizes learning solve problems The methodology used includes the analysis of natural language models prevalent in learning processes and the elaboration of the conversational context by studying feedback mechanisms to analyze the strategy with which students build knowledge; the mechanisms of structure of responses are studied in real time to adapt them to the student and stimulate interaction. The importance of research lies in the potential to develop and transform interactions with AI in a way that is meaningful for the skills necessary for an exploration of knowledge and sharing that arises from a question-answer process in a virtuous cycle. The proposal is considered particularly relevant in an era in which interactions are becoming increasingly common and complex. The results of the research aim to demonstrate that AI in the perspective of the dialogue paradigm, can develop skills that improve the quality of interactions and development of cognitive knowledge processes, and apply them to didactic-pedagogical methods.

Keywords: AI, critical thinking, dialogue paradigm, learning.