Comparing climate science misconceptions with worldview and cognitive reflection suggests poor understanding and motivated reasoning among undergraduates
Comparing climate science misconceptions with worldview and cognitive reflection suggests poor understanding and motivated reasoning among undergraduates
复制标题
将气候科学误解与世界观和认知反思进行比较表明,本科生的理解和动机推理很差
DOI:
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复制
发表时间:
2021
影响因子:
--
通讯作者:
Jennifer da Rosa
中科院分区:
文献类型:
--
作者:
Jennifer da Rosa
Abstract This survey study evaluated the relationship between cultural worldview and the occurrence of climate science misconceptions among 688 undergraduates at five colleges in the United States. The Worldview, Misconceptions, and Cognitive Reflection instrument was employed to measure respondents’ cultural worldview, climate science misconceptions using a three-tiered diagnostic test, and cognitive reflection ability. Binary logistic regression was used to test the extent to which hierarchy-egalitarianism, individualism-communitarianism, and cognitive reflection ability impacted the occurrence of ten common climate science misconceptions. Analysis revealed that the understanding of climate change science was low, while certainty of response was high. Misconceptions of climate-weather confusion and the magnitude of global warming were related to learners’ worldview. Motivated reasoning was suggested in hierarchist-leaning learners holding the misconception that recent climate changes are the result of natural cycles. Certain climate science misconceptions were related to learners’ cognitive reflection ability such as the misconception that sudden changes in weather are evidence of climate change, the misconception that global warming is caused by ozone layer depletion, and the misconception that global warming can be reduced by setting limitations on chemical waste released into rivers or by not building nuclear power plants. This investigation yielded an emergent finding and area of future research: respondents in this study differed significantly by gender in their worldview, cognitive reflection, and climate science misconceptions. Recommendations include using an intervention approach to boost numerical skills and quantitative self-efficacy in the climate science classroom, and addressing misconceptions with a refutation text.
DOI:
10.1109/cdc.2017.8263834
发表时间:
2017
期刊:
56th IEEE Conference on Decision and Control
影响因子:
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作者:
Goel, Gautam;Chen, Niangjun;Wierman, Adam
通讯作者:
Wierman, Adam