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. (shrink)

b> Critical thinking is highly valued but difficult to teach effectively. The Reason! project at the University of Melbourne has developed the Reason!Able software as part of a general method aimed at enhancing critical thinking skills. Students using Reason!Able appear to make dramatic gains. This paper describes the challenge involved, the theoretical basis of the Reason! project, the Reason!Able software, and results of intensive evaluation of the Reason! approach.

Computer-based argument mapping greatly enhances student critical thinking, more than tripling absolute gains made by other methods. I describe the method and my experience as an outsider. Argument mapping often showed precisely how students were erring (for example: confusing helping premises for separate reasons), making it much easier for them to fix their errors.

People generally develop some degree of competence in general informal reasoning and argument skills, but how do they go beyond this to attain higher expertise? Ericsson has proposed that high-level expertise in a variety of domains is cultivated through a specific type of practice, referred to as ‘deliberate practice’. Applying this framework yields the empirical hypothesis that high-level expertise in informal reasoning is the outcome of extensive deliberate practice. This paper reports results from two studies evaluating the hypothesis. University student (...) participants completed 12 weeks of deliberate practice in informal reasoning. Quantity of practice was recorded by computer, and additionally assessed via self report. The hypothesis was supported: students in both studies showed a large improvement, and practice as measured by computer, was related to amount of improvement in informal reasoning. These findings support adopting a deliberate practice approach when attempting to teach or learn expertise in informal reasoning. (shrink)