Reducing the cognitive abstractness of climate change through an “engineering fiction” learning experience: A natural language processing study

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AW7HCEXCV" target="_blank" >RIV/00216208:11320/25:W7HCEXCV - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189455777&doi=10.1016%2fj.jenvp.2024.102287&partnerID=40&md5=eb571f94d99bfac6c74038815f0d7d5d" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189455777&doi=10.1016%2fj.jenvp.2024.102287&partnerID=40&md5=eb571f94d99bfac6c74038815f0d7d5d</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jenvp.2024.102287" target="_blank" >10.1016/j.jenvp.2024.102287</a>

Result language
angličtina
Original language name
Reducing the cognitive abstractness of climate change through an “engineering fiction” learning experience: A natural language processing study
Original language description
The lackluster societal response to the climate crisis is partially attributed to the abstractness of people's mental construals of climate change given its vast spatial and temporal dimensions, which fail to evoke urgency to act. Prior efforts to measure mental construal levels of climate change are inconsistent, insufficient, and labor-intensive. This study developed and implemented learning experiences for integrating engineering design and climate fiction writing to engage 48 high school students in concrete climate change thinking. A novel measure of cognitive abstractness overcomes previous methodological shortcomings by automatically quantifying the linguistic abstractness of participant-authored stories using natural language processing. Comparing participant stories written at the beginning and end of the intervention reveals a significant decrease in linguistic abstractness (Cohen's d = 1.01, p = 0.03). This study contributes to the nascent movement for greater use of narratives as data sources in environmental psychology research, which may uncover new insights into human behavior and decision making. © 2024 Elsevier Ltd
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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