Situation-action models specify a set of if/then rules that specify what actions an agent will take in what situations. As situations change, either because of previous actions or because of changes in agent’s environment, the rules then specify the next actions (or inaction).
Published in Chapter:
Disciplinarily-Integrated Games: Generalizing Across Domains and Model Types
Douglas B. Clark (Vanderbilt University, USA), Pratim Sengupta (University of Calgary, Canada), and Satyugjit Virk (Vanderbilt University, USA)
Copyright: © 2016
|Pages: 17
DOI: 10.4018/978-1-4666-9629-7.ch009
Abstract
Clark, Sengupta, Brady, Martinez-Garza, and Killingsworth (2015) and Sengupta and Clark (submitted) propose disciplinarily-integrated games as a generalizable template for supporting students in interpreting, manipulating, and translating across phenomenological and formal representations in support of a Science as Practice perspective (Pickering, 1995; Lehrer & Schauble, 2006). To explore the generalizability of disciplinarily-integrated games, this chapter proposes other hypothetical examples of disciplinarily-integrated games in physics, biology, chemistry, and the social sciences. We explore disciplinarily-integrated games in three categories, beginning with the category involving the nearest and simplest transfer of the template and extending to the category involving the furthest and most complex transfer: (1) time-series analyses with Cartesian formal representations, (2) constraint-system analyses with Cartesian formal representations, and (3) other model types and non-Cartesian formal representations. We close with the discussion of the implications of this generalizability.