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<field name="value">In this theoretical paper, we will argue that to understand deep learning we need to accept that such learning is profoundly tied to teaching and that it takes places in situated and distributed affinity spaces, being both teaching and learning socio-mental processes. We shall outline what, in our view, are the key elements of deep learning. We will also describe a theoretical approach called the 'Deep Teaching and Learning Model' (DTML). How this model is developed and sustained remains a central question for future research in educational research, and we conclude by identifying some of the challenges faced by formal schooling arising from the new, modern affinity spaces that we believe now make up the present-day geography of deep learning</field>
<field name="value">En este artículo teórico sostenemos que para comprender el aprendizaje profundo es necesario aceptar la premisa bajo la cual dicho aprendizaje está vinculado a procesos de enseñanza situados y distribuidos en espacios de afinidad, considerándose los procesos de enseñanza-aprendizaje a la vez sociales y mentales. Describimos lo que nos parecen los elementos clave del aprendizaje profundo en el marco del modelo teórico que llamamos aquí “Enseñanza y Aprendizaje Profundo” (EAP). La forma en que este modelo se desarrolle y se mantenga se convierte en una cuestión central para la investigación futura en investigación educativa. Concluimos identificando algunos desafíos que la escolarización formal afronta en los nuevos espacios de afinidad que son la geografía contemporánea del aprendizaje profundo</field>
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<field name="value">REMIE : Multidisciplinary Journal of Educational Research, 2020, vol. 10, núm. 1, p. 1-25</field>
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<field name="value">Esteban Guitart, Moisès Gee, James Paul 2020 'Inside the head and out in the world': an approach to deep teaching and learning REMIE : Multidisciplinary Journal of Educational Research 10 1 1 25</field>
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