This article criticizes a view about the interpretation of human action, labeled in the text as interpretivism. This view posits a sharp separation between the natural and social sciences, to the effect that the methods of the latter cannot be applied to the former. I criticize this standpoint by reconstructing a case of educational research. As I argue, the case I analyze indicates that the arguments in support of interpretivism are contradicted by what social researchers can actually achieve. I conclude that the interpretivistic claims lack support and that the general separation claim appears as problematic.

In this paper I discuss the concept of empirical support in the context of qualitative methods (for short, qualitative support). A conceptualization of empirical support that is specific for qualitative methods is proposed. This conceptualization is based on the analysis of a case of qualitative research. I provide arguments that this conceptualization identifies specific and non-trivial properties of qualitative support and that, at the same time, this conceptualization supports the claim that there is no methodological separation between quantitative and qualitative methods concerning empirical support.

In this article I examine three examples of philosophical theories of scientific representation with the aim of assessing which of these is a good candidate for a philosophical theory of scientific representation in science learning. The three candidate theories are Giere's intentional approach, Suárez's inferential approach and Lynch and Woolgar's sociological approach. In order to assess which theory is more promising, I will compare the three candidate theories to two aspects of scientific representation in science learning that emerge from empirical research on science learning. I label these aspects as the intentional and normative character of scientific representation in science learning. As I argue, whereas the other competing accounts of scientific representation can only capture one of the two aspects highlighted in this article, the inferential conception has the capacity to capture them both in a coherent way. Thus, I conclude that the inferential conception seems to be a fruitful philosophical theory of scientific representation in science learning.

In this paper I discuss the ontological status of actants. Actants are argued as being the basic constituting entities of networks in the framework of Actor Network Theory (Latour, 2007). I introduce two problems concerning actants that have been pointed out by Collin (2010). The first problem concerns the explanatory role of actants. According to Collin, actants cannot play the role of explanans of networks and products of the same newtork at the same time, at pain of circularity. The second problem is that if actants are, as suggested by Latour, fundamentally propertyless, then it is unclear how they combine into networks. This makes the nature of actants inexplicable.

I suggest that both problems rest on the assumption of a form of object ontology, i.e. the assumption that the ontological basis of reality consists in discrete individual entities that have intrinsic properties. I argue that the solution to this problem consists in the assumption of an ontology of relations, as suggested within the framework of Ontic Structural Realism (Ladyman & Ross, 2007). Ontic Structural Realism is a theory concerning the ontology of science that claims that scientific theories represent a reality consisting on only relation, and no individual entities.

Furthermore I argue that the employment of OSR can, at the price of little modification for both theories, solve both of the two problems identified by Collin concerning ANT.

Throughout the text I seek support for my claims by referring to examples of application of ANT to the context of networked learning. As I argue, the complexity of the phenomenon of networked learning gives us a convenient vantage point from which we can clearly understand many important aspects of both ANT and OSR.

While my proposal can be considered as an attempt to solve Collin's problems, it is also an experiment of reconciliation between analytic and constructivist philosophy of science.

In fact I point out that on the one hand Actor Network Theory and Ontic Structural Realism show an interesting number of points of agreement, such as the naturalistic character and the focus on relationality. On the other hand, I argue that all the intuitive discrepancies that originates from the Science and Technology Studies’ criticism against analytic philosophy of science are at a closer look only apparent.