This paper is aimed at combining the advances in argumentation theory with the models used in the field of education to address the issue of improving students’ argumentative behavior by interacting with an expert. The concept of deeper or more sophisticated argumentative strategy is theoretically defined and used to advance two new coding schemes, based on the advances in the argumentation studies and aimed at capturing the dialectical, or structural, behavior, and the argumentative content of each dialogue unit. These coding (...) schemes are then applied for a qualitative analysis of a study designed to investigate how students’ argumentative behavior can be influenced by the interaction with an expert, who used specific types of attacks to the interlocutors’ positions. The twofold coding shows at which dialogical level expert–peer interactions can directly and more stably affect students’ argumentative behavior, and what effects such more sophisticated strategies can have on the discussion and the analysis of disagreements. In particular, this paper shows how a specific type of deep-level attack, the underminer, can open dialogues of a different level, focused on unveiling and debating background beliefs underlying a specific position. (shrink)

According to the ?story model? a juror constructs an implicit mental model of a story telling what happened as the basis for the verdict choice. But the explicit justification of a verdict choice could take the form of a story (knowledge telling) or the form of a relational (knowledge-transforming) argument structure that brings together diverse, non-chronologically related pieces of evidence. The study investigates whether people tend towards knowledge telling or knowledge transforming, and whether use of these argument structure types are (...) related to skilled argument and epistemic understanding. A sample of people on jury duty chose and justified verdicts in two abridged cases. Participants tended to display the same argument structure and argument skill across cases. Those using knowledge-transforming structures were more successful at the juror argument skills task and had a higher level of epistemic understanding. The discussion suggests that jurors approach their task with an epistemic orientation towards knowledge telling or knowledge transforming. (shrink)

Many urgent problems that societies currently face—from climate change to a global pandemic—require citizens to engage with scientific information as members of democratic societies as well as to solve problems in their personal lives. Most often, to solve their epistemic aims (aims directed at achieving knowledge and understanding) regarding such socio-scientific issues, individuals search for information online, where there exists a multitude of possibly relevant and highly interconnected sources of different perspectives, sometimes providing conflicting information. The paper provides a review (...) of the literature aimed at identifying (a) constraints and affordances that scientific knowledge and the online information environment entail and (b) individuals' cognitive and motivational processes that have been found to hinder, or conversely, support practices of engagement (such as critical information evaluation or two-sided dialogue). Doing this, a conceptual framework for understanding and fostering what we callonline engagement with scientific informationis introduced, which is conceived as consisting of individual engagement (engaging on one's own in the search, selection, evaluation, and integration of information) and dialogic engagement (engaging in discourse with others to interpret, articulate and critically examine scientific information). In turn, this paper identifies individual and contextual conditions for individuals' goal-directed and effortful online engagement with scientific information. (shrink)

Adolescents’ and young adults’ practical moral judgments about two interpersonal moral dilemmas, which differed in their moral complexity, were examined using two philosophical frameworks (deontological and consequentialist principles) as tools for psychological analysis. A sample of 234 participants (ages 14–16, 18–19, and 20–21) reasoned about two moral dilemmas, which had been experienced by a subset of adolescents in a pilot study, in two forms: Participants 1) provided open-ended decisions and justification from the perspective of an imagined moral agent and 2) (...) selected a choice from nine fixed reasoning alternatives (half advocating one course and other half advocating the other course of action, plus a relativistic reasoning). The participants’ open-ended responses served as a foundation of coding systems and were analyzed using log-linear analyses, chi-square tests, and a binominal logistic regression. The combination of qualitative and quantitative methods uncovered unexpected but nuanced young people’s moral thinking. Results indicated that female participants were more likely than males to show a unique decision style: “restructuring” of the moral dilemmas/situations, and moral relativism emerged only when asked to select a choice from nine reasoning alternatives and was primarily evidenced among the younger (aged 18–19) female college students. (shrink)

Scientific reasoning is particularly pertinent to science education since it is closely related to the content and methodologies of science and contributes to scientific literacy. Much of the research in science education investigates the appropriate framework and teaching methods and tools needed to promote students’ ability to reason and evaluate in a scientific way. This paper aims to contribute to an extended understanding of the nature and pedagogical importance of model-based reasoning and to exemplify how using computer simulations can support (...) students’ model-based reasoning. We provide first a background for both scientific reasoning and computer simulations, based on the relevant philosophical views and the related educational discussion. This background suggests that the model-based framework provides an epistemologically valid and pedagogically appropriate basis for teaching scientific reasoning and for helping students develop sounder reasoning and decision-taking abilities and explains how using computer simulations can foster these abilities. We then provide some examples illustrating the use of computer simulations to support model-based reasoning and evaluation activities in the classroom. The examples reflect the procedure and criteria for evaluating models in science and demonstrate the educational advantages of their application in classroom reasoning activities. (shrink)

We report our efforts to assess the skill of contemplating and evaluating argumentation. An adaptive forced-choice instrument was developed and administered to 6th grade students, 7th grade students who had participated in a year-long intervention that successfully strengthened their argumentation production skills, and expert arguers. The instrument was sensitive enough to detect differences in skill level across these groups. Despite their gains in production skill, however, 7th graders showed only modest superiority over the untrained 6th graders and performance well below (...) that of experts. Meta-level demands involved in evaluation but not present in production, we propose, may make evaluation more difficult. (shrink)