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Identifying Chemistry Students' Baseline Systems Thinking Skills When Constructing System Maps for a Topic on Climate
Alisha R Szozda1, Peter G Mahaffy2, Alison B Flynn1
1Department of Chemistry and Biomolecular Sciences, Faculty of Science, University of Ottawa, 10 Marie Curie Pvt., Ottawa, Ontario K1N 9A7, Canada.
Students demonstrated systems thinking (ST) skills in chemistry, but their system maps lacked submicroscopic details and causal reasoning. Findings inform teaching ST skills and assessing them in chemistry education.
Area of Science:
- Chemistry Education
- Systems Thinking (ST)
- Climate Change Education
Background:
- Educators need resources to implement systems thinking (ST) in chemistry.
- Assessing ST skills in chemistry contexts is not well understood.
- A proposed set of ST skills exists, but their application in chemistry needs investigation.
Purpose of the Study:
- Investigate ST skills students employ when creating system maps for climate change topics.
- Identify how undergraduate chemistry students engage with ST tasks.
- Develop an adaptable ST rubric for assessing ST skills in chemistry.
Main Methods:
- Eighteen undergraduate chemistry students participated in a ST intervention.
- Students individually and collaboratively completed three ST tasks, including constructing system maps.
- Analysis focused on 11 ST skills aligned with five ST characteristics.
Main Results:
- Participants demonstrated most ST skills, with notable nuances.
- System maps lacked submicroscopic concepts/connections and causal reasoning.
- Maps showed broad connections but few circular loops and limited human/chemistry links.
Conclusions:
- Chemistry educators should emphasize submicroscopic levels and causal reasoning when teaching ST.
- The study provides insights for guiding ST learning activities and assessments in chemistry.
- An adaptable ST rubric was developed to aid in assessing ST skills in chemistry education.
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Global Climate Change
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Classification of Systems-I
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Levels of Use of a GIS

