Psychological Foundations for Effective Human–Computer Interaction in Education

This paper investigates the integration of emotional, cognitive, and interactional processes in the design of educational technologies through the lens of Human–Computer Interaction (HCI). While previous studies have focused on cognitive and interactional engagement, emotional engagement remains underdeveloped in many tools, limiting learning effectiveness. To bridge this gap, this study proposes a theoretical holistic framework integrating usability, emotional intelligence, and adaptive interaction. Through a qualitative analysis, we examine educational platforms—including Duolingo, Khan Academy, and Google Classroom—alongside simulation-based systems such as EduTechRPGs. The study applies Cognitive Load Theory, Emotional Intelligence Theory, and Self-Determination Theory to assess their effectiveness. The findings highlight the importance of designing emotionally intelligent, scalable, and adaptive learning environments, and the proposed framework integrates psychological principles to boost engagement, motivation, and learning outcomes. This study contributes to a learner-centered HCI approach, ensuring that educational technologies support both cognitive and emotional development. Future research should validate the proposed framework empirically and explore interdisciplinary approaches to optimize educational technology. This study highlights the role of HCI in creating meaningful digital learning experiences by integrating psychology, cognitive science, and user experience design.