Sharona T. Levy hat am 12.04.2019 unseres Institut besucht und einen Vortrag zu dem Thema "Restructurations in Learning" gehalten.

‘Restructuration' is a concept put forth by Wilensky and Papert (2011) to describe deep change in paradigms of thought. For example, the shift from Roman to Arabic numerals made conducting multiplication and division much easier; so that instead of an elite who could make these computations, many people could compute them on their own. One of these restructurations concerns viewing the world through a complexity perspective; how a system’s properties and behavior patterns emerge from the interactions ofmany entities. This view has surfaced about three decades ago, but is recently gaining traction in several disciplines. Examples range from the exact sciences such as interpreting dynamic equilibrium in ecosystems (predator-prey relationships) to the social domain, such understanding social groups in terms of network theory, and the humanities, for example conducting thought experiments in philosophy or computational linguistics. At the Systems Learning & Development Lab we are creating, designing learning and conducting research for several such restructurations in the domains of science, mathematics and engineering. In the talk, some of these restructurations, and research into their impact onpeople’s understanding will be described–specifically related to driving in congested traffic, cell-based learning in biology, reframing the chemical bondand competitive biking in a triathlon. The research will describe the learnability of the restructurations,  and the degree to which they support a more scientific understanding.

Abstract und weitere Informationen finden Sie in der hier verlinkten Datei.