2016 Physics Education Research Conference Proceedings 2016
DOI: 10.1119/perc.2016.pr.077
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Probing Student Ability to Construct Reasoning Chains: A New Methodology

Abstract: Students are often asked to construct qualitative reasoning chains during scaffolded, research-based physics instruction. As part of a multi-institutional effort to investigate and assess the development of student reasoning skills in physics, we have been designing tasks that probe the extent to which students can create and evaluate reasoning chains. In one task, students are provided with correct reasoning elements (i.e., true statements about the physical situation as well as correct concepts and mathemati… Show more

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Cited by 4 publications
(8 citation statements)
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“…Problem solving and conceptual understanding in science often requires multistep processes or chains of reasoning in which a number of decisions must be made by the student either implicitly or explicitly, that is, with a combination of heuristic and analytic processes. For example, Speirs et al [31] describe a multistep chain of reasoning associated with a kinematics graph task, and Kryjevskaia, Stetzer, and Grosz [28] describe multistep reasoning paths that appear to include both heuristic and analytic processes for capacitor and wave pulse tasks. In an example more closely related to a physical scenario studied here, Rosenblatt, Heckler, and Flores [32] found that, even postinstruction, many students in an introductory materials science engineering course believe that high mass density implies high melting temperature, and this conclusion is produced via the physically incorrect line of "reasoning" that high mass density implies small atomic separation, and this implies high atomic bond strength, which in turn implies high melting temperature.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Problem solving and conceptual understanding in science often requires multistep processes or chains of reasoning in which a number of decisions must be made by the student either implicitly or explicitly, that is, with a combination of heuristic and analytic processes. For example, Speirs et al [31] describe a multistep chain of reasoning associated with a kinematics graph task, and Kryjevskaia, Stetzer, and Grosz [28] describe multistep reasoning paths that appear to include both heuristic and analytic processes for capacitor and wave pulse tasks. In an example more closely related to a physical scenario studied here, Rosenblatt, Heckler, and Flores [32] found that, even postinstruction, many students in an introductory materials science engineering course believe that high mass density implies high melting temperature, and this conclusion is produced via the physically incorrect line of "reasoning" that high mass density implies small atomic separation, and this implies high atomic bond strength, which in turn implies high melting temperature.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…This finding is consistent with expectations from the dual-process theories of reasoning and reinforces similar results from chaining tasks reported in the physics literature. 21 In the heuristic-analytic theory of reasoning as presented by Evans, 29 the first available mental model can be highly resistant to change, especially when it is rooted in a commonly held belief such as the notion that bond breaking is an exothermic process. 26 According to the singularity principle, students will tend to formulate a single hypothesis and only abandon this belief if they encounter evidence that forces them to consider an alternative.…”
Section: ■ Discussionmentioning
confidence: 99%
“…In this work, we adapt a new methodology developed in the field of physics education research called a reasoning chain construction task, or "chaining task". 21 In a chaining task, students are presented a question and several conclusion options (similar to the answer options in a multiple-choice question). In these tasks, however, students are also provided a series of statements, referred to as reasoning elements or "tiles", which are related to the question being asked.…”
Section: ■ Methods Reasoning Chain Construction Tasksmentioning
confidence: 99%
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“…After students answered the target question, they were presented, one at a time, with the hypothetical answers of two fictitious students, one of which is correct (A) and the other of which is the most common incorrect answer (B). For each hypothetical answer, students were asked to construct a line of reasoning that the fictitious student might have used to reach their conclusion via the reasoning chain construction format [17], a modified card sort activity implemented within Qualtrics' "Rank/Group/Sort" question format (Fig. 4) [18].…”
Section: Research Design and Methodologymentioning
confidence: 99%