This chapter explores the pivotal role of augmented intelligence and pedagogical theories in reshaping digital learning. Augmented intelligence, a symbiotic collaboration between human and machine intelligence, is positioned as a transformative force in education, enhancing cognitive processes and fostering creativity without replacing human capabilities. This paradigm allows educators and learners to leverage AI tools that amplify human potential, facilitating personalized, adaptive learning experiences that foster innovation and collaboration. Pedagogical theories provide the foundational framework for integrating these AI systems into educational environments, ensuring that technological advancements align with proven instructional strategies. The chapter discusses the fusion of augmented intelligence with pedagogical principles such as constructivism and connectivism, which guide the design of learning experiences that are responsive to individual needs. By prioritizing human–machine collaboration, augmented intelligence in education not only enhances engagement but also ensures inclusivity, addressing diverse learner requirements. Concluding, the chapter outlines how the intersection of augmented intelligence and pedagogical theories promises to revolutionize digital learning, providing a comprehensive understanding of their transformative potential in the educational landscape.

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The Role of Augmented Intelligence and Pedagogical Theories in Digital Learning

  • Christos Troussas,
  • Akrivi Krouska,
  • Cleo Sgouropoulou

摘要

This chapter explores the pivotal role of augmented intelligence and pedagogical theories in reshaping digital learning. Augmented intelligence, a symbiotic collaboration between human and machine intelligence, is positioned as a transformative force in education, enhancing cognitive processes and fostering creativity without replacing human capabilities. This paradigm allows educators and learners to leverage AI tools that amplify human potential, facilitating personalized, adaptive learning experiences that foster innovation and collaboration. Pedagogical theories provide the foundational framework for integrating these AI systems into educational environments, ensuring that technological advancements align with proven instructional strategies. The chapter discusses the fusion of augmented intelligence with pedagogical principles such as constructivism and connectivism, which guide the design of learning experiences that are responsive to individual needs. By prioritizing human–machine collaboration, augmented intelligence in education not only enhances engagement but also ensures inclusivity, addressing diverse learner requirements. Concluding, the chapter outlines how the intersection of augmented intelligence and pedagogical theories promises to revolutionize digital learning, providing a comprehensive understanding of their transformative potential in the educational landscape.