“Inside the Head and Out in the World”. An Approach to Deep Teaching and Learning

Moisés Esteban-Guitart, James Paul Gee

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1-25
Number of pages25
JournalMultidisciplinary Journal of Educational Research
Issue number1
StatePublished - Feb 2020


  • Affinity spaces
  • Appreciative systems
  • Deep learning
  • Distributed teaching and learning

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology
  • Sociology and Political Science


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