Productive features of problem solving in chemical kinetics: more than just algorithmic manipulation of variables
| Autor: | Jon-Marc G. Rodriguez, Marcy H. Towns, Kinsey Bain, Nicholas P. Hux |
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| Rok vydání: | 2019 |
| Předmět: |
Management science
Logical reasoning Teaching method 05 social sciences Physical science 050401 social sciences methods 050301 education Protocol analysis Cognition Education Resource (project management) 0504 sociology Chemistry (miscellaneous) Engineering education Chemistry (relationship) 0503 education Mathematics |
| Zdroj: | Chemistry Education Research and Practice. 20:175-186 |
| ISSN: | 1756-1108 1109-4028 |
| Popis: | Problem solving is a critical feature of highly quantitative physical science topics, such as chemical kinetics. In order to solve a problem, students must cue into relevant features, ignore irrelevant features, and choose among potential problem-solving approaches. However, what is considered appropriate or productive for problem solving is highly context-dependent. This study is part of a larger project centered on students’ integration of chemistry and mathematics knowledge and skills. The data for this study came from semi-structured interviews with 40 general chemistry students using a think-aloud protocol. Interview prompts involved students working through two chemical kinetics problems, one involving a second-order system and one involving a zero-order system. In both cases, students could solve the problem using the data provided and relevant equations, or by taking a conceptual approach and considering the relationship between quantities. Using the resource-based model of cognition as our theoretical framework, analysis focused on characterizing the productive and unproductive problem-solving routes used by students. Findings emphasize the role of using conceptual reasoning and reflecting on one's work during problem solving, which have implications for instructors as they guide students to think about chemical kinetics and to solve problems across quantitative topics in science, technology, engineering, and mathematics. |
| Databáze: | OpenAIRE |
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