Maralee Harrell

We argue that there is a large class of questions—specifically questions about how to epistemically evaluate environments that currently available epistemic theories are not well-suited for answering, precisely because these questions are not about the epistemic state of particular agents or groups. For example, if we critique Facebook for being conducive to the spread of misinformation, then we are not thereby critiquing Facebook for being irrational, or lacking knowledge, or failing to testify truthfully. Instead, we are saying something about the social media environment. In this paper, we first propose that a new branch of epistemology–Environmental Epistemology–is needed to address these questions. We argue that environments can be proper objects of epistemic evaluation, and that there are genuine epistemic norms that govern environments. We then provide a positive account of these norms and conclude by considering how recognition of these norms may require us to rethink longstanding epistemic debates.

Exploring philosophy through detailed argument analyses of texts by philosophers from Plato to Strawson using a novel and transparent method of analysis. The best way to introduce students to philosophy and philosophical discourse is to have them read and wrestle with original sources. This textbook explores philosophy through detailed argument analyses of texts by philosophers from Plato to Strawson. It presents a novel and transparent method of analysis that will teach students not only how to understand and evaluate philosophers' arguments but also how to construct such arguments themselves. Students will learn to read a text and discover what the philosopher thinks, why the philosopher thinks it, and whether the supporting argument is good. Students learn argument analysis through argument diagrams, with color-coding of the argument's various elements—conclusion, claims, and “indicator phrases.” (An online “mini-course” in argument diagramming and argument diagramming software are both freely available online.) Each chapter ends with exercises and reading questions. After a general introduction to philosophy and logic and an explanation of argument analysis, the book presents selections from primary sources, arranged by topics that correspond to contemporary debates, with detailed analysis and evaluation. These topics include philosophy of religion, epistemology, theory of mind, free will and determinism, and ethics; authors include Aristotle, Aquinas, Descartes, Hume, Kant, Ryle, Fodor, Dennett, Searle, and others. What Is the Argument? not only introduces students to great philosophical thinkers, it also teaches them the essential skill of critical thinking.

In this article I aim to use the 1948 Russell-Copleston debate to highlight some recent problems I have experienced teaching argument analysis in my philosophy courses. First, I will use argument diagramming to represent the arguments in the debate while reflecting on the use of this approach use to teach argument analysis skills. Then, I will discuss the tools and methods scholars have proposed to represent debates, rather than just individual arguments. Finally, I will argue that there is not, but needs to be, a good way to represent argumentative debates in a way that neither obscures the essential details of the exchange nor becomes too unwieldy to extract a sense of the overall debate.

Research has shown that the construction of visual representations may have a positive effect on cognitive skills, including argumentation. In this paper we present a study on learning argumentation through computer-supported argument diagramming. We specifically focus on whether students, when provided with an argument-diagramming tool, create better diagrams, are more motivated, and learn more when working with other students or on their own. We use learning analytics to evaluate a variety of student activities: pre and post questionnaires to explore motivational changes; the argument diagrams created by students to evaluate richness, complexity and completion; and pre and post knowledge tests to evaluate learning gains.

There is substantial evidence from many domains that visual representations aid various forms of cognition. We aimed to determine whether visual representations of argument structure enhanced the acquisition and development of critical thinking skills within the context of an introductory philosophy course. We found a significant effect of the use of argument diagrams, and this effect was stable even when multiple plausible correlates were controlled for. These results suggest that natural⎯and relatively minor⎯modifications to standard critical thinking courses could provide substantial increases in student learning and performance.

The dynamic nature of physics cannot be captured through an exclusive focus on the static mathematical formulations of physical theories. Instead, we can more fruitfully think of physics as a set of distinctively social, cognitive, and theoretical/methodological practices. An emphasis on practice has been one of the most notable aspects of the recent “naturalistic turn” in general philosophy of science, in no small part due to the arguments of many feminist philosophers of science. A major project of feminist philosophy of physics has been to shine a critical light on the social and cognitive practices in physics, and how those ultimately influence other aspects of the science. Here we argue that traditional philosophy of physics has focused exclusively on the theoretical/methodological practices of physics, and that feminist philosophy of physics seeks to broaden the focus to include the social and cognitive practices as well.

Problem-Based Learning has become an increasingly popular instructional method for a variety of disciplines at all levels. Many studies and meta-analyses of these studies have shown the efficacy of this method for developing knowledge and skills. I adopted this method for teaching Engineering Ethics at Carnegie Mellon University, which has as its main course objectives the development of moral reasoning skills, as well as collaboration and communication skills, with special attention given to ethical dilemmas that may arise in the normal course of an engineer’s professional career. In the most recent iteration of the course, I used the Engineering and Science Issues Test as a pretest and posttest to test the development of my students’ moral reasoning skills over the course of the semester. Based on the results of these tests, I argue that the students in my Engineering Ethics course did in fact significantly develop their moral reasoning skills.

Problem-Based Learning has become an increasingly popular instructional method for a variety of disciplines at all levels. Many studies and meta-analyses of these studies have shown the efficacy of this method for developing knowledge and skills. I adopted this method for teaching Engineering Ethics at Carnegie Mellon University, which has as its main course objectives the development of moral reasoning skills, as well as collaboration and communication skills, with special attention given to ethical dilemmas that may arise in the normal course of an engineer’s professional career. In the most recent iteration of the course, I used the Engineering and Science Issues Test as a pretest and posttest to test the development of my students’ moral reasoning skills over the course of the semester. Based on the results of these tests, I argue that the students in my Engineering Ethics course did in fact significantly develop their moral reasoning skills.

There is substantial evidence from many domains that visual representations aid various forms of cognition. We aimed to determine whether learning to construct visual representations of argument structure enhanced the acquisition and development of argumentative writing skills within the context of first-year college writing course. We found a significant effect of the use of argument diagrams, and this effect was stable even when multiple plausible correlates were controlled for. These results suggest that natural⎯and relatively minor⎯modifications to standard first-year composition courses could provide substantial increases in student writing ability

Learning to argue in a computer-mediated and structured fashion is investigated in this research. A study was conducted to compare dyads that were scripted in their computer-mediated collaboration with dyads that were not scripted. A process analysis of the chats of the dyads showed that the scripted experimental group used significantly more words, engaged in significantly more broadening and deepening of the discussion, and appeared to engage in more critical and objective argumentation than the non-scripted control group

: Computer-mediated environments provide an arena for learning to argue. We investigate to what extent student dyads’ online argumentation can be facilitated with collaboration scripts that prompt learners to prepare individually, create conflict, and encourage productive collaboration and argumentation. A process analysis of the chats of the dyads showed that the scripted treatment group used significantly more words and broadened and deepened their discussions significantly more than the unscripted group. Qualitative analysis indicates that scripted learners engaged in more critical and objective argumentation than non-scripted learners

A standard platitude about the function of causal knowledge or theories is that they are valuable because they support prediction, explanation, and control. Knowledge of predator-prey relations enables us to predict future animal populations, as well as design policies or interventions that help influence those populations. If we understand the underlying biochemical mechanisms of some disease, then we can predict who is at risk for it, explain why it produces particular symptoms, and develop interventions to try to reduce its prevalence or the symptom severity. Of course, there are many situations in which one has, for practical reasons, only some of these desiderata; for example, control might be infeasible for technical or ethical reasons. But these remain, for many researchers, the ideal for why causal knowledge is a valuable end of scientific inquiry, including biological inquiry. There are, however, certain types of systems—in particular, chaotic systems—in which it appears that these ends are unattainable, and these systems appear to be widespread in the biological domain, broadly construed. In this paper, we will show why it is natural to think that causal models of chaotic systems cannot satisfy any of the three functions. But we will also show why this natural thought is wrong: we can have usable causal knowledge about even chaotic systems. Moreover, the ways in which we can have such knowledge lead us naturally to rethink a standard understanding of how causal learning and modeling proceed. In particular, just as we often must find the appropriate variables for a causal system, we also must determine the proper level or granularity of description for the dynamics of that system

Most of the recent work in chaos theory has been the development of data analysis tools for analyzing chaotic data. It is based upon the results of the application of these tools that many researchers have made claims that such phenomena as heartbeats, planetary orbits, and chemical reactions are chaotic. ;The first part of my dissertation is concerned with investigating the standard methods that are used to determine whether a system is chaotic, and the requirements of these methods. I begin by explaining chaos theory, and providing a generally accepted definition of chaos. I then explain the current methods that have been developed for experimentally studying chaotic systems. With this in mind, I turn to a more theoretical investigation of the reliability of these methods. Within the framework of formal learning theory, I discuss the conditions under which a scientist can reliably determine whether a system is chaotic. ;Generalizing this problem leads to the philosophical center of my dissertation: an investigation that relates how the conceptions of reliability of the scientists who work with chaos theory fit into a larger philosophical picture of reliable knowledge, and whether and in what sense or senses scientists are justified in their beliefs that particular systems are chaotic. ;I argue that Alvin Goldman is correct in a general sense; cashing out "justified" as "produced by a process that reliably produces true beliefs" captures a very strong intuition about knowledge and justification. I also argue that defining reliability, as Goldman does, in terms of "truth-ratios" does not capture our intuitions about reliability, and is often ill-defined. Instead, we need to define a reliable process as one which does one of two things: either the process always produces true beliefs, or the process gives specific conditions under which it will fail to produce true beliefs. ;Finally, I return to the discussion of a particular instance of scientific knowledge, the knowledge that a system is chaotic. I argue that, under my conception of reliabilism, and under certain conditions, scientists are in fact justified in their beliefs that particular dynamical systems in nature are chaotic

In a multi-study naturalistic quasi-experiment involving 269 students in a semester-long introductory philosophy course, we investigated the effect of teaching argument diagramming on students’ scores on argument analysis tasks. An argument diagram is a visual representation of the content and structure of an argument. In each study, all of the students completed pre- and posttests containing argument analysis tasks. During the semester, the treatment group was taught AD, while the control group was not. The results were that among the different pretest achievement levels, the scores of low-achieving students who were taught AD increased significantly more than the scores of low-achieving students who were not taught AD, while the scores of the intermediate- and high-achieving students did not differ significantly between the treatment and control groups. The implication of these studies is that learning AD significantly improves low-achieving students’ ability to analyze arguments

There is substantial evidence from many domains that visual representations aid various forms of cognition. We aimed to determine whether visual representations of argument structure enhanced the acquisition and development of critical thinking skills within the context of an introductory philosophy course. We found a significant effect of the use of argument diagrams, and this effect was stable even when multiple plausible correlates were controlled for. These results suggest that natural and relatively minor modifications to standard critical thinking courses could provide substantial increases in student learning and performance.

The word “philosophy” comes from the Greek “philos” (meaning love) and “sophia” (meaning wisdom); thus philosophy literally is the “love of wisdom.” Whatever else philosophy may be, most people agree that it still retains this spirit of its etymological roots, and that when we are engaged in philosophy we are pursuing wisdom for the sake of itself. Wisdom, however, is not the same thing as knowledge or information. We aren’t merely trying to amass list of interesting ideas, or believe anything that sounds good. Wisdom is, at least in part, the reflection on and critical evaluation of what we ourselves and others around us believe about some very heady topics

After determining one set of skills that we hoped our students were learning in the introductory philosophy class at Carnegie Mellon University, we designed an experiment, performed twice over the course of two semesters, to test whether they were actually learning these skills. In addition, there were four different lectures of this course in the Spring of 2004, and five in the Fall of 2004; and the students of Lecturer I were taught the material using argument diagrams as a tool to aid understanding and critical evaluation, while the other students were taught using more traditional methods. We were interested in whether this tool would help the students develop the skills we hoped they would master in this course. In each lecture, the students were given a pre-test at the beginning of the semester, and a structurally identical post-test at the end. We determined that the students did develop the skills in which we were interested over the course of the semester. We also determined that the students who were able to construct argument diagrams gained significantly more than the other students. We conclude that learning how to construct argument diagrams improves a student's ability to analyze, comprehend, and evaluate arguments

Argument-mapping software abounds, and one of the reasons is that using the software has been shown to teach/promote/improve critical thinking skills. These positive results are very encouraging, but they also raise the question of whether the computer tutorial environment is producing these results, or whether learning argument mapping, even with just paper and pencil, is sufficient. Based on the results of two empirical studies, I argue that the basic skill of being able to represent an argument diagrammatically plays an important role in the improvement of critical-thinking skills. While these studies do not offer a direct comparison between the two methods, it is important for anyone wishing to employ argument mapping in the classroom to know that significant results can be obtained even with the most rudimentary of tools.

Many undergraduates, philosophy majors included, read philosophical texts similar to the way they read stories. One method for teaching students how to discern the argumentative structure of a philosophy text is through argument diagrams (text boxes used to represent claims with arrows and lines used to represent connections between these claims). This paper provides criteria for an ideal argument diagramming software and then reviews the strengths and weaknesses of such software currently available, e.g. Araucaria, Argutect, Athena Standard, Inspiration, and Reason!Able.

After determining one set of skills that we hoped our students were learning in the introductory philosophy class at Carnegie Mellon University, we performed an experiment twice over the course of two semesters to test whether they were actually learning these skills. In addition, there were four different lectures of this course in the first semester, and five in the second; in each semester students in some lectures were taught the material using argument diagrams as a tool to aid understanding and critical evaluation, while the other students were taught using more traditional methods. In each lecture, the students were given a pre-test at the beginning of the semester, and a structurally identical post-test at the end. We determined that the students did develop the skills in which we were interested over the course of the semester. We also determined that the students who were taught argument diagramming gained significantly more than the students who were not. We conclude that learning how to construct argument diagrams significantly improves a student’s ability to analyze arguments.

Drawing on the work of Linda Farmer, this article describes a detailed grading grid coupled with a rubric designed for the purpose of assessing argumentative papers. The rubric consists of two main parts: Content and Style. Relying upon Bloom’s taxonomy of learning, the “Content” part of the rubric assesses a student’s understanding of the material, the argument of their paper, and various abilities concerning analysis, synthesis, evaluation, and creation. The “Style” part of the rubric is split into two parts: Clarity and Organization. Coupling this rubric with a grading grid, the author provides an example of a method for the effective grading of argumentative essays.