Includes bibliographical references and index.

Overview -- Human life in the age of smart machines -- Competence needed to work in the age of smart machines -- References -- Public schools today and what is missing -- Schooling: curriculum and how it should change -- Where can children learn all this? -- Some personal reflections -- How do schools evolve? -- Apprenticeships and similar experiences -- Creating a "third place' -- A few possible ways to address the eight competences -- Learning to teach the eight competences -- Assessing learning of the eight competences -- Concluding observations.

Learning for the Age of Artificial Intelligence is a richly informed argument for curricular change to educate people towards achievement and success as intelligent machine systems proliferate. Describing eight key competences, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the knowledge, skills, and environments that students need to thrive and avoid displacement in today’s technology-enhanced culture and workforce. Essential insights into school operations, machine learning, complex training and assessment, and economic challenges round out this cogent, relatable discussion about the imminent evolution of the education sector.

English.