It is fundamental that, in philosophy, we make sure that we are not mistaking merely verbal disputes, or “conceptual” disputes, for substantive ones. This essay presents a tripartite framework that is useful for clarifying cases where it is difficult to tell whether we are engaged in substantive or non-substantive disputes. For this purpose, the essay offers some combinatorial possibilities between the following levels: verbal, conceptual, and objectual. We need to distinguish whether we are arguing about the world, concepts, or words (...) to avoid talking at cross-purposes and to recognize when our disputes are not worth the time. Distinguishing between these three levels can also throw light and guide research on conceptual engineering, metalinguistic negotiations, metaontology, and so on. (shrink)

Scientists from Einstein to Sagan have linked emotions like awe with the motivation for scientific inquiry, but no research has tested this possibility. Theoretical and empirical work from affective science, however, suggests that awe might be unique in motivating explanation and exploration of the physical world. We synthesize theories of awe with theories of the cognitive mechanisms related to learning, and offer a generative theoretical framework that can be used to test the effect of this emotion on early science learning.

This paper investigates the revolutionary conceptual changes that took place when the phlogiston theory of Stahl was replaced by the oxygen theory of Lavoisier. Using techniques drawn from artificial intelligence, it represents the crucial stages in Lavoisier's conceptual development from 1772 to 1789. It then sketches a computational theory of conceptual change to account for Lavoisier's discovery of the oxygen theory and for the replacement of the phlogiston theory.

Programs for the reform of K-12 science teaching today usually insist that science teachers must introduce their students to the nature of science, as well as to scientific content. The academic field of science studies, however, evinces no consensus about what the nature of science really is. This article examines how science educators and educational researchers have drawn on the fragmented teachings of science studies about the nature of science, and how they have used those teachings as a resource in (...) their own projects. It identifies three competing movements for the reform of science teaching that owe a particular debt to science studies: history and philosophy of science, science, technology, and society, and constructivist pedagogy. The article analyzes some of the deep assumptions about the relationships between research science, school science, and children’s learning that pervade the educational literature. (shrink)

Da quasi un secolo la pedagogia si trova a dover affrontare il problema di inquadrare la propria relazione con la biologia nello spazio pedagogico. Sarà l'introduzione della variabile culturale a complessificare la relazione pedagogia e biologia sino a renderla accettabile nel panorama pedagogico italiano. In questa ricerca gli elementi individuali e sociali, naturali e contestuali, biologici e culturali vengono a interagire nello stesso entanglement producendo la nascita delle scienze bioeducative. L'ingresso delle scienze bioeducative nel panorama pedagogico dell'inizio del Duemila è (...) stato segnato dalla esplicita volontà di costituire un campo disciplinare il cui approccio correlativo, interazionista e integrativo portasse a maturazione l'esigenza di sciogliere il nodo interpretativo della unilateralità dell'approccio pedagogico già evidenziatosi a metà del Novecento. Occorreva discutere su una pluralità di argomenti lasciati sul tavolo del precedente dibattito, questioni vive sulle quali negli ultimi dieci anni si sono andate a mettere in gioco diverse posizioni interpretative. Il campo di studi delle scienze bioeducative mette infatti a fuoco alcuni concetti chiave che introducono le teorie emergenti della educabilità cognitiva e della elaborazione implicita primaria. (shrink)

The purpose of this article is to show that the customary understanding of epistemic progress as a kind of belief change is incomplete and that conceptual change has to be acknowledged as a crucial driving force in epistemic progress. The author’s argument for the epistemological relevance of conceptual change proceeds as follows. First, he develops an account of conceptual change that clearly distinguishes conceptual change from belief change. He then takes a closer look at two kinds of conceptual change that (...) are of special interest from an epistemological point of view. He calls them “disclosing” conceptual change and “revisionary” conceptual change. He then shows that the idea of epistemic value that demarcates the realm of epistemological inquiry applies to concepts and conceptual change. (shrink)

The ability to develop and use models to explain phenomena is a key component of the Next Generation Science Standards, and without examples of what modeling instruction looks like in the reality of classrooms, it will be difficult for us as a field to understand how to move forward in designing curricula that foreground the practice in ways that align with the epistemic commitments of modeling. In this article, we illustrate examples drawn from a model-based curriculum development project to problematize (...) and bring to the fore issues and tensions we observed through the course of modeling instruction. In doing so, we argue that instruction that is model-based may not be actualizing modeling as an epistemic practice to support student sensemaking. We suggest that this kind of enactment may be a result of the tensions between viewing models as content to be learned and modeling as a scientific practice in which the end products are not known ahead of time. We discuss the implications of our analysis for teacher learning and curriculum development. (shrink)

Work on analogy has been done from a number of disciplinary perspectives throughout the history of Western thought. This work is a multidisciplinary guide to theorizing about analogy. It contains 1,406 references, primarily to journal articles and monographs, and primarily to English language material. classical through to contemporary sources are included. The work is classified into eight different sections (with a number of subsections). A brief introduction to each section is provided. Keywords and key expressions of importance to research on (...) analogy are discussed in the introductory material. Electronic resources for conducting research on analogy are listed as well. (shrink)

This paper explores the relation between scientific knowledge and common sense intuitions as a complement to Hoyningen-Huene’s account of systematicity. On one hand, Hoyningen-Huene embraces continuity between these in his characterization of scientific knowledge as an extension of everyday knowledge, distinguished by an increase in systematicity. On the other, he argues that scientific knowledge often comes to deviate from common sense as science develops. Specifically, he argues that a departure from common sense is a price we may have to pay (...) for increased systematicity. I argue that to clarify the relation between common sense and scientific reasoning, more attention to the cognitive aspects of learning and doing science is needed. As a step in this direction, I explore the potential for cross-fertilization between the discussions about conceptual change in science education and philosophy of science. Particularly, I examine debates on whether common sense intuitions facilitate or impede scientific reasoning. While contending that these debates can balance some of the assumptions made by Hoyningen-Huene, I suggest that a more contextualized version of systematicity theory could supplement cognitive analysis by clarifying important organizational aspects of science. (shrink)

In the 1980s naive physics almost suddenly became a field of research for physicists interested in teaching and experimental psychologists. Such research, however, was limited to accurately recording the bizarre Aristotelian responses of “layman” struggling with simple physics issues. Another research on this topic is that one of phenomenological origin: starting from the studies of the psychologist of perception Paolo Bozzi naive physics had entered the laboratory, and he was the first to find that the physical knowledge of the adult (...) individuals were “Aristotelian”. Bozzi took advantage of these results in order to hypothesize a substantial diversity and independence of the sensory system with respect to the cognitive-rational one. Other interesting perspectives were considered by Piaget, who in the 1980s, confirming the spontaneous Aristotelism of children, provided a still prolific epistemological direction of such investigations: finding an explanatory mechanism that projects on the level of science construction that one of individual cognitive development. (shrink)

The function of concepts must be taken seriously to understand the scientific practices of developing and working with concepts. Despite its significance, little philosophical attention has been paid to the function of concepts. A notable exception is Brigandt (2010), who suggests incorporating the epistemic goal pursued with the concept’s use as an additional semantic property along with the reference and inferential role. The suggestion, however, has at least two limitations. First, his proposal to introduce epistemic goals as the third component (...) of concepts lacks independent grounding, except to account for the rationality of semantic change (the Grounding Problem). Second, it is hardly justified to consider epistemic goals as a semantic property (the Misplacement Problem). To remedy these predicaments, we suggest a new perspective that takes concepts as cognitive entities with a 2-layered structure rather than as merely linguistic entities and develop an account of the function of concepts. We provide empirical evidence showing that functional information affects our cognitive processes. It is claimed that the function of concepts is not a semantic property but a type of meta-information regulating a body of concept-constitutive information. (shrink)

Recently, several scholars have argued that scientists can accept scientific claims in a collective process, and that the capacity of scientific groups to form joint acceptances is linked to a functional division of labor between the group members. However, these accounts reveal little about how the cognitive content of the jointly accepted claim is formed, and how group members depend on each other in this process. In this paper, I shall therefore argue that we need to link analyses of joint (...) acceptance with analyses of distributed cognition. To sketch how this can be done, I shall present a detailed case study, and on the basis of the case, analyze the process through which a group of scientists jointly accept a new scientific claim and at a later stage jointly accept to revise previously accepted claims. I shall argue that joint acceptance in science can be established in situations where an overall conceptual structure is jointly accepted by a group of scientists while detailed parts of it are distributed among group members with different areas of expertise, a condition that I shall call a heterogeneous conceptual consensus. Finally, I shall show how a heterogeneous conceptual consensus can work as a constraint against scientific change and address the question how changes may nevertheless occur. (shrink)

This inaugural handbook documents the distinctive research field that utilizes history and philosophy in investigation of theoretical, curricular and pedagogical issues in the teaching of science and mathematics. It is contributed to by 130 researchers from 30 countries; it provides a logically structured, fully referenced guide to the ways in which science and mathematics education is, informed by the history and philosophy of these disciplines, as well as by the philosophy of education more generally. The first handbook to cover the (...) field, it lays down a much-needed marker of progress to date and provides a platform for informed and coherent future analysis and research of the subject. -/- The publication comes at a time of heightened worldwide concern over the standard of science and mathematics education, attended by fierce debate over how best to reform curricula and enliven student engagement in the subjects There is a growing recognition among educators and policy makers that the learning of science must dovetail with learning about science; this handbook is uniquely positioned as a locus for the discussion. -/- The handbook features sections on pedagogical, theoretical, national, and biographical research, setting the literature of each tradition in its historical context. Each chapter engages in an assessment of the strengths and weakness of the research addressed, and suggests potentially fruitful avenues of future research. A key element of the handbook’s broader analytical framework is its identification and examination of unnoticed philosophical assumptions in science and mathematics research. It reminds readers at a crucial juncture that there has been a long and rich tradition of historical and philosophical engagements with science and mathematics teaching, and that lessons can be learnt from these engagements for the resolution of current theoretical, curricular and pedagogical questions that face teachers and administrators. (shrink)

The central aim of science is to make sense of the world. To move forward as a community endeavor, sense-making must be systematic and focused. The question then is how do scientists actually experience the sense-making process? In this chapter we examine the “practice turn” in science studies and in particular how as a result of this turn scholars have come to realize that models are the “functional unit” of scientific thought and form the center of the reasoning/sense-making process. This (...) chapter will explore a context-dependent view of models and modeling in science. From this analysis we present a framework for delineating the different aspects of model-based reasoning and describe how this view can be useful in educational settings. This framework highlights how modeling supports and focuses scientific practice on sense-making. (shrink)

This chapter will discuss the role of thought experiments in science and in science teaching. The constructive and destructive roles played by thought experiments in the construction of scientific theories can be used in science teaching to help students to understand the processes of science. In addition, they have potential to be used as a teaching tool for developing students’ conceptual understanding. The use of thought experiments can also increase students’ interest in science and help them in understanding situations beyond (...) their everyday experiences. It has been reported elsewhere that the use of thought experiments in science teaching may be challenging for both teachers and students. Despite the recent increase in research activities with respect to thought experiments in science education, further systematic research work is still needed for the most effective methods to be discovered of how best to use thought experiments in science teaching. Of particular importance will be studies that focus on science teachers’ understanding of thought experiments and their actual use in a classroom environment. (shrink)