Despite increased philosophical and psychological work on practical wisdom, contemporary interdisciplinary wisdom research provides few specifics about how to develop wisdom (Kristjánsson 2022). This lack of practically useful guidance is due in part to the difficulty of determining how to combine the tools of philosophy and psychology to develop a plausible account of wisdom as a prescriptive ideal. Modeling wisdom on more ordinary forms of expertise is promising, but skill models of wisdom (Annas 2011; De Caro et al. 2018; Swartwood (...) 2013b; Tsai 2023) have been challenged on the grounds that there are important differences between wisdom and expert skills (Hacker-Wright 2015, p. 986; Kristjánsson 2015, pp. 98, 101; Stichter 2015, 2016, 2018). I’ll argue that we can both vindicate the promise of skill models of wisdom and begin to specify practically useful strategies for wisdom development by attending to a reflective process that I call Case-Based Critical Reflection. I begin by demonstrating the process as it arose in a notable example from everyday life, illustrating how the process can be usefully applied to a case study of interest to wisdom scientists, and explaining its philosophical pedigree. After isolating the key features that make it relevant to wisdom development, I argue that attending to the importance of Critical Reflection can defuse prominent objections to skill models of wisdom. (shrink)

In their “Educating for Intellectual Virtue: A Critique from Action Guidance” Kotzee, Carter and Siegel (2019) argue against what they call the intellectual virtues (IV) approach to the primary epistemic aim of education and in favor of what they call the critical thinking (CT) approach. The IV approach says that educating for intellectual virtue is the primary epistemic aim of education. The CT approach says that it is educating for critical thinking. They argue that the exemplarist/role-modeling pedagogy of the IV (...) approach is not sufficiently action-guiding, because it does not teach students the know-how needed to think well. This they call the pedagogical challenge to the IV approach. We argue that their criticism of the IV approach fails. In general, possessing an intellectual virtue requires having a corresponding critical-thinking skill set. Also, for one to exercise critical-thinking skills well it is necessary that they possess dispositional components of corresponding intellectual virtues. Accordingly, intellectual virtues can be groomed in non-exemplarist ways that seem sufficiently action-guiding. Furthermore, the pedagogical challenge for the IV approach is a challenge for the CT approach as teaching for critical-thinking dispositions seems heavily reliant on an exemplarist pedagogy and so to this extent is non-action-guiding. (shrink)

Our aim in this paper is to argue that Socrates is an intellectual character builder. We show that the Socratic Method, properly understood, is a tool for developing the intellectual character of students. It motivates agents towards the truth and helps them to develop the cognitive skills to gain knowledge of the truth. We further elucidate this proposal by comparing the Socratic Method, so understood, with the widely held contemporary view that the epistemic aim of education is the development of (...) the intellectual virtues. (shrink)

In this paper, we examine how the availability of massive quantities of data i.e., the “Big Data” phenomenon, contributes to the creation, spread, and harms of online misinformation. Specifically, we argue that a factor in the problem of online misinformation is the evolved human instinct to recognize patterns. While the pattern-recognition instinct is a crucial evolutionary adaptation, we argue that in the age of Big Data, these capacities have, unfortunately, rendered us vulnerable. Given the ways in which online media outlets (...) profit from the spread of misinformation by preying on this pattern-finding instinct, we conceptualize the problem that we identify as a morally objectionable form of “epistemic exploitation.” As we argue, the consumer of digital misinformation is often exploited by having her pattern-recognition instinct used against her. This exploitation is morally objectionable because it deprives her of an epistemic good to which she has a right. This epistemic good is the integrity of the pattern-recognition instinct itself which, we argue, is a capacity that allows us to participate in uniquely human goods. While our primary goal is to bring attention to this form of epistemic exploitation, we conclude by briefly evaluating some general solutions to the growing problem of online misinformation. (shrink)

Journal of Philosophy of Education, Volume 56, Issue 2, Page 210-226, April 2022.

According to virtue epistemology, the main aim of education is the development of the cognitive character of students (Pritchard, 2014, 2016). Given the proliferation of technological tools such as ChatGPT and other LLMs for solving cognitive tasks, how should educational practices incorporate the use of such tools without undermining the cognitive character of students? Pritchard (2014, 2016) argues that it is possible to properly solve this ‘technology-education tension’ (TET) by combining the virtue epistemology framework with the theory of extended cognition (...) (EXT) (Clark and Chalmers, 1998). He argues that EXT enables us to consider tools as constitutive parts of the students’ cognitive system, thus preserving their cognitive character from technologically induced cognitive diminishment. The first aim of this paper is to show that this solution is not sufficient to solve the TET. Second, I aim to offer a complementary and more encompassing framework of tool-use to address the TET. Then, I apply it to the educational uses of ChatGPT as the most notable example of LLM, although my arguments can be extended to other generative AI systems. To do so, in Sect. 1.1, I present Pritchard’s framework of cognitive character and virtue epistemology applied in education, to which I am committed in this treatment. In Sects. 2 and 3, I respectively illustrate Pritchard’s (2014) solution to the TET, and I highlight the general limitations of his proposal. Thus, in Sect. 4.1 I characterize ChatGPT as a computational cognitive artifact using Fasoli’s (2017, 2018) taxonomy of cognitive artifacts. In Sect. 4.2, I introduce my proposal, which combines Pritchard’s account of virtue epistemology with Fasoli’s (2017, 2018) taxonomy of cognitive artifacts to address the TET. Finally, in Sect. 5.1, I present some epistemically virtuous uses of ChatGPT in educational contexts. To conclude, I argue in favor of a multidisciplinary approach for analyzing educational activities involving AI technologies such as ChatGPT. (shrink)

This paper examines the normativity of law, that is, law’s capacity to guide behavior by generating reasons for action, from the perspective of virtue jurisprudence. It articulates a virtue-based model of law’s normativity according to which the law generates first order reasons for action (that is, loyalty-reasons) that need to be factored in citizens’ and legal officials’ practical reasoning, which consists, primarily, in the search for the best specification of the values involved in light of an account of the good (...) life and the role that the law plays wherein. The outcome of this piece of practical reasoning is a judgment about what ought to be done, the rightness of which depends, on the proposed model, on whether it is a judgment that a virtuous person would characteristically do in the circumstances. This model, it is argued, has distinctive features that set it apart from some prominent accounts of the normativity of law. It may, however, be disqualified as a plausible alternative account of the normativity of law on the grounds that it fails to provide action-guidance. The last part of the paper responds to this objection in a way that unveils the relevance of the social dimensions of virtue to law’s normativity. (shrink)

The chapter presents the prototyping of a thinking routine designed to foster good inference habits in children ages 6 to 11. The prototyping was developed at Ninho, an educational project for children from underprivileged households in Brazil. The thinking routines by Ritchhart and colleagues (2006) served as our starting point. Following a Virtue Education (VE) approach, we supposed that the repeated application would conduce to habituation. In addition, to increase peer-to-peer interactions, the teacher applying the routines worked as a facilitator (...) in a Community of Inquiry (CI). After six months of application, the results were partially successful. We identified that the repeated exposition to the magic question “What makes you say that?” made children more aware of the evidence supporting their assumptions. Furthermore, the interactions between peers made them recognize different perspectives. However, we also identified some shortcomings. Most of them seemed to arise from cognitive biases. At the individual level, belief perseverance kept children too attached to their first assumptions. They preferred self-serving rationalizations instead of accepting a counter-argument. At the group level, we identified problems of social contagion such as information cascades. The effects of a first opinion rhetorically voiced were hard to efface. Since none of the steps on the previous routines addressed these biases, we prototyped a routine to start filling this gap. Following Critical Thinking (CT) theorists, we added a step of structured instruction concerning one specific reasoning technique - the inference to the best explanation. Moreover, the recommendation of cognitive psychologists motivated the inclusion of some extra features to avoid groupthink biases. For instance, a visual table that juxtaposes contrasting arguments should facilitate comparative evaluations. Also, a star-based evaluation scale should help different individuals to discuss their assessments based on a common ground. As described in the end, the prototype with elements from VE, CI and CT presented promising results. (shrink)