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)

Kuhn’s account of scientific change is characterized by an internal tension between a naturalist vein, which is compatible with the revolutionary perspective on the historical development of science, and an aprioristic or Kantian vein which wants to secure that science is not an irrational enterprise. Kuhn himself never achieved to resolve the tension or even to deal with the terms of the problem. Michael Friedman, quite recently, provided an account which aspires to reconcile the revolutionary and the aprioristic elements of (...) the Kuhnian historiography by placing the latter in the neo-Kantian philosophical framework. In this paper, I suggest that Friedman manages to provide a convincing description of the structuration of scientific knowledge and, further, to present science as a rational enterprise. I argue that despite these virtues Friedman’s account faces a major problem with regard to the context of transcendental idealism which he is not willing to abandon. I also argue that discarding transcendental idealism in the way the philosophical perspective of John McDowell does, we can dispose of the flaws of Friedman’s account while retaining its virtues. (shrink)

Thomas Kuhn’s relativistic position is usually expounded in terms of its subjectivist and irrationalist consequences and, accordingly, as a contribution to anti-scientificism. This paper explains his pluralism in semantics and ontology and shows in it a kind of relativism from which those consequences do not follow. It is also argued that, despite that, this version does not converge to empiricism or scientific realism.

The complex societal challenges of the twenty-first Century require scientific researchers and academically educated professionals capable of conducting scientific research in complex problem contexts. Our central claim is that educational approaches inspired by a traditional empiricist epistemology insufficiently foster the required deep conceptual understanding and higher-order thinking skills necessary for epistemic tasks in scientific research. Conversely, we argue that constructivist epistemologies provide better guidance to educational approaches to promote research skills. We also argue that teachers adopting a constructivist learning theory (...) do not necessarily embrace a constructivist epistemology. On the contrary, in educational practice, novel educational approaches that adopt constructivist learning theories often maintain traditional empiricist epistemologies. Philosophers of science can help develop educational designs focused on learning to conduct scientific research, combining constructivist learning theory with constructivist epistemology. We illustrate this by an example from a bachelor’s program in Biomedical Engineering, where we introduce conceptual models and modeling as an alternative to the traditional focus on hypothesis testing in conducting scientific research. This educational approach includes the so-called B&K method for constructing scientific models to scaffold teaching and learning conceptual modeling. (shrink)