Conceptual change continues to be a central concern of many of the disciplines that participate in the learning sciences. In this issue of The Journal of the Learning Sciences, as in the field, the topic is studied from a variety of perspectives. Cognitive development has been concerned with the nature of children's concepts, how they relate to adult concepts, and how they change over the developmental process. Philosophical and historical research on scientific conceptual change has investigated how new conceptual structures are constructed in a scientific community and come to replace existing ones and has discussed the implications of conceptual change for understanding the nature and development of scientific knowledge. Research in science learning has been concerned with the nature of students' intuitive concepts and the role they play in impeding or facilitating learning a science and with developing pedagogical strategies to facilitate the change from intuitive to scientific understanding. Artificial intelligence researchers have been creating computational models of conceptual and representational change. In all of these fields, there is considerable debate as to what constitutes conceptual change and how significant it is to understanding development, science, and learning.
This special issue brings together a variety of perspectives and approaches addressing common fundamental problems to conceptual change: What it is, how it occurs, and how to facilitate it........
Read more of the "Guest Editors' Introduction" in JLS Volume 6, Number 1.
The use of extreme cases as a reasoning strategy by experts has been documented in historical studies (Nersessian, 1992) and expert thinking-aloud studies (Clement, 1989, 1991). The use of extreme case reasoning as an instructional strategy is not as well documented (for an exception, see Zietsman & Hewson's 1986, description of computer-based instruction that uses extreme cases in dissonance generating situations). This article examines the ways in which extreme case reasoning facilitated learning in a study of students' learning about levers. The purpose of this article is to use qualitative analysses of tutoring transcripts as an empirical base to develop ground hypotheses for thinking about the roles extreme cases can play in learning and teaching.
The context of this study is a broader program of research and development in which the major goals are to :
This article is structured as follows. We first review descriptions from prior research of different mechanisms by which extreme cases may contribute to thinking. We next give an overview of the design of the tutoring study and then present protocol evidence to illustrate students' learning. Finally, in our discussions of student learning, we concentrate on the following two issues: (a) asking whether the extreme cases in an experimental lesson on levers facilitated learning and (b) constructing hypotheses grounded in case study data that explain how the extreme cases facilitated learning.