Despite recognition as an important, potentially unifying construct within the social sciences and humanities, value lacks an overarching theoretical framework. One theory within the social sciences, personal construct theory, is suggested as a theoretical foundation for human values, and an attempt to situate values within this theory is presented. It is argued that human values are core constructs in the language of personal construct theory, while ordinary beliefs are peripheral constructs. Various implications and applications of this formulation are discussed.

People use commonsense science knowledge to flexibly explain, predict, and manipulate the world around them, yet we lack computational models of how this commonsense science knowledge is represented, acquired, utilized, and revised. This is an important challenge for cognitive science: Building higher order computational models in this area will help characterize one of the hallmarks of human reasoning, and it will allow us to build more robust reasoning systems. This paper presents a novel assembled coherence theory of human conceptual change, (...) whereby people revise beliefs and mental models by constructing and evaluating explanations using fragmentary, globally inconsistent knowledge. We implement AC theory with Timber, a computational model of conceptual change that revises its beliefs and generates human-like explanations in commonsense science. Timber represents domain knowledge using predicate calculus and qualitative model fragments, and uses an abductive model formulation algorithm to construct competing explanations for phenomena. Timber then scores competing explanations with respect to previously accepted beliefs, using a cost function based on simplicity and credibility, identifies a low-cost, preferred explanation and accepts its constituent beliefs, and then greedily alters previous explanation preferences to reduce global cost and thereby revise beliefs. Consistency is a soft constraint in Timber; it is biased to select explanations that share consistent beliefs, assumptions, and causal structure with its other, preferred explanations. In this paper, we use Timber to simulate the belief changes of students during clinical interviews about how the seasons change. We show that Timber produces and revises a sequence of explanations similar to those of the students, which supports the psychological plausibility of AC theory. (shrink)

This paper presents research on the moral sensibility of six pre-service teachers in an undergraduate teacher education program. Using their reflective writing across their first two semesters of coursework as well as focus group interviews in their third semester as sources of data, the paper identifies and describes three distinctive types of moral sensibility and examines ways in which moral sensibility interacts with experiences in teacher education. Suggestions for explicitly incorporating the moral in pre-service teacher education are presented.

This paper is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International licence. It was presented at the Design Research Society 50th Anniversary Conference.