This chapter presents a novel framework that combines principles of Human–Computer Interaction (HCI) and Human-Centered Artificial Intelligence (AI) to create adaptive learning technology systems tailored to modern educational needs. The framework is designed around five core pillars: personalization, collaboration, adaptability, accessibility, and creativity. These pillars guide the development of educational platforms that dynamically adjust to individual learner preferences, foster interactive learning environments, and enhance overall engagement and inclusivity. The framework serves as a blueprint for integrating advanced AI technologies with proven pedagogical practices, offering educators and developers a structured approach to design adaptive systems. The chapter elaborates on how this framework can be applied in diverse educational contexts, such as personalized tutoring systems, virtual collaborative platforms, and immersive learning simulations. Practical examples and case studies demonstrate its real-world applicability and transformative potential. Furthermore, ethical considerations, including data privacy, algorithmic fairness, and inclusivity, are addressed to ensure responsible implementation. By synthesizing insights from psychology, cognitive science, and education, this framework provides a robust foundation for advancing educational technology. It equips educators and system designers with the tools to create innovative, scalable, and sustainable learning environments that adapt to the diverse and evolving needs of learners.

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A Novel Framework of Human–Computer Interaction and Human-Centered Artificial Intelligence in Learning Technology

  • Christos Troussas,
  • Akrivi Krouska,
  • Cleo Sgouropoulou

摘要

This chapter presents a novel framework that combines principles of Human–Computer Interaction (HCI) and Human-Centered Artificial Intelligence (AI) to create adaptive learning technology systems tailored to modern educational needs. The framework is designed around five core pillars: personalization, collaboration, adaptability, accessibility, and creativity. These pillars guide the development of educational platforms that dynamically adjust to individual learner preferences, foster interactive learning environments, and enhance overall engagement and inclusivity. The framework serves as a blueprint for integrating advanced AI technologies with proven pedagogical practices, offering educators and developers a structured approach to design adaptive systems. The chapter elaborates on how this framework can be applied in diverse educational contexts, such as personalized tutoring systems, virtual collaborative platforms, and immersive learning simulations. Practical examples and case studies demonstrate its real-world applicability and transformative potential. Furthermore, ethical considerations, including data privacy, algorithmic fairness, and inclusivity, are addressed to ensure responsible implementation. By synthesizing insights from psychology, cognitive science, and education, this framework provides a robust foundation for advancing educational technology. It equips educators and system designers with the tools to create innovative, scalable, and sustainable learning environments that adapt to the diverse and evolving needs of learners.