This chapter delves into the importance of communication styles in the learning process, particularly in the context of Human–Computer Interaction (HCI) and Augmented Intelligence (AI). Communication styles, including verbal and non-verbal preferences, are essential for creating personalized learning experiences that align with individual needs. The chapter discusses the integration of these communication styles into computer-assisted learning (CAL) environments, where AI can adapt the system based on the user’s style, enhancing engagement and effectiveness. It highlights various communication styles—dominant, dramatic, contentious, and animated—and their influence on educational interactions. The integration of non-verbal communication through emerging technologies like virtual reality (VR) and augmented reality (AR) is also explored. These technologies can interpret gestures, facial expressions, and engagement levels, providing feedback to tailor the learning experience. Additionally, the chapter addresses challenges in identifying and adapting to communication styles, emphasizing the importance of inclusivity and personalization. It also explores the role of communication in collaborative learning environments, suggesting that understanding communication preferences can improve group dynamics and enhance overall learning outcomes. In summary, the chapter presents communication styles as a crucial element in designing adaptive learning systems that foster positive and productive educational experiences.