| 1. |
- Bain, P. G., et al.
(författare)
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Public views of the Sustainable Development Goals across countries
- 2019
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Ingår i: Nature Sustainability. - : Springer Science and Business Media LLC. - 2398-9629. ; 2:9, s. 819-825
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Tidskriftsartikel (refereegranskat)abstract
- The United Nation's 17 Sustainable Development Goals (SDGs) offer an extensive framework for coordinating and shaping government policies, and for engaging the public with sustainability. Public understanding of the SDGs and sustainability can influence this engagement, as people are more likely to accept and share information consistent with their own understanding. We identify public understandings of SDGs through mental maps of how people relate the SDGs to environmental, social and economic sustainability. Using responses from 12 developed/developing countries (n = 2,134), we identified four mental maps that varied mainly on two dimensions, which diverged from some expert models. Some people's mental maps identified tension between achieving environmental versus social sustainability, whereas for others the tension was between economic sustainability and the other two sustainability elements. Some people related different SDGs to each element of sustainability, whereas others saw all SDGs as targeting the same sustainability element(s). These findings highlight opportunities and challenges to engage the public with sustainability more effectively, especially with wide-ranging initiatives such as a Green New Deal. We observed cultural differences but we also identified a dominant mental map across countries that could serve as a default model for communicating sustainability internationally.
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| 2. |
- Ho, Felix M., et al.
(författare)
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Graphs : Working with Models at the Crossroad between Chemistry and Mathematics
- 2019
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Ingår i: It’s Just Math. - Washington, DC : American Chemical Society (ACS). - 9780841234352 ; , s. 47-67
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Bokkapitel (refereegranskat)abstract
- The use and interpretation of graphs pose significant challenges to the learner, but also open up opportunities for developing skills in combining both chemical and mathematical knowledge in problem solving. The analysis of a task in chemical kinetics serves in this chapter as the basis for discussing the design and use of open-ended problems through the lens of a number of frameworks, with the aim of providing the practitioner with practical examples, as well as tools and insights for further investigations and ways to help improve student learning.
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| 3. |
- Rodriguez, Jon-Marc G., et al.
(författare)
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Covariational reasoning and mathematical narratives : investigating students' understanding of graphs in chemical kinetics
- 2019
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Ingår i: Chemistry Education Research and Practice. - 1756-1108. ; 20:1, s. 107-119
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Tidskriftsartikel (refereegranskat)abstract
- Graphical representations are an important tool used to model abstract processes in fields such as chemistry. Successful interpretation of a graph involves a combination of mathematical expertise and discipline-specific content to reason about the relationship between the variables and to describe the phenomena represented. In this work, we studied students’ graphical reasoning as they responded to a chemical kinetics prompt. Qualitative data was collected and analyzed for a sample of 70 students through the use of an assessment involving short-answer test items administered in a first-year, non-majors chemistry course at a Swedish university. The student responses were translated from Swedish to English and subsequently coded to analyze the chemical and mathematical ideas students attributed to the graph. Mathematical reasoning and ideas related to covariation were analyzed using graphical forms and the shape thinking perspective of graphical reasoning. Student responses were further analyzed by focusing on the extent to which they integrated chemistry and mathematics. This was accomplished by conceptualizing modeling as discussing mathematical narratives, characterizing how students described the “story” communicated by the graph. Analysis provided insight into students’ understanding of mathematical models of chemical processes.
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