In this article I will review what we learned in our first foray into ›system reform‹ earlier in this century (2004-2013; called Phase One); how this relates to the learning in the subsequent decade (2014-2023, Phase Two), and where we stand as we enter 2024 (Phase Three, 2024-2033). My data base is applied system work and related research in North America, Australia, New Zealand, Latin America (Uruguay), and to a certain extent research in those countries, and in Europe (in England most notably). I do not have access to research and practice in Germany. In this article I track three key variables: technology, pedagogy and change knowledge.

Deep Learning bezieht sich in diesem Kapitel nicht auf eine Unterart von Machine Learning, sondernauf ein Pädagogitsches Konzept des Autors.