Prediction and Adaption in Science|Environment|Health Contexts
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Authors
Zeyer, Albert
Álvaro, Nuria
Bauer, Deidre
Devetak, Iztok
Devetak, Sonja Posega
Gavidia, Valentin
Kremer, Kerstin
Mayoral, Olga
Tajnšek, Tina Vesel
Author (Corporation)
Publication date
2021
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editors
Levrini, Olivia
Tasquier, Giulia
Amin, Tamer G.
Branchetti, Laura
Levin, Mariana
Editor (Corporation)
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Parent work
Engaging with Contemporary Challenges through Science Education Research: Selected papers from the ESERA 2019 Conference
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DOI of the original publication
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Issue / Number
Pages / Duration
19-30
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Publisher / Publishing institution
Springer
Place of publication / Event location
Cham
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Abstract
The term Science|Environment|Health (S|E|H) stands for a pedagogy of mutual benefit between science education, environmental education, and health education. Complexity is an important aspect of most S|E|H issues. In the natural sciences, and thus in science education, prediction plays a central role. Yet, complex systems usually do not allow for full prediction. “Don’t predict, adapt!” is a famous slogan in complexity talk. But what does adaption look like in complex systems and what role can scientific knowledge play in it? This paper features a symposium where three S|E|H examples were presented in which the relationship between prediction and adaption is important. The paper also includes a theoretical contribution that discusses the concept of dual-process theories as a potential theoretical framework. The main outcome of the symposium is that while understanding “as prediction” plays the central role in traditional science, understanding “as interpretation” is at least as equally important in S|E|H contexts. In terms of dual-process theories, the first is a type 2 process, while the second is type 1. Good decision-making in S|E|H contexts involves a complementary interplay between these two types of understanding science.
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ISBN
978-3-030-74490-8
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
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Closed
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Citation
ZEYER, Albert, Nuria ÁLVARO, Julia ARNOLD, Deidre BAUER, Iztok DEVETAK, Sonja Posega DEVETAK, Valentin GAVIDIA, Kerstin KREMER, Olga MAYORAL, Tina Vesel TAJNŠEK und Alla KESELMAN, 2021. Prediction and Adaption in Science|Environment|Health Contexts. In: Olivia LEVRINI, Giulia TASQUIER, Tamer G. AMIN, Laura BRANCHETTI und Mariana LEVIN (Hrsg.), Engaging with Contemporary Challenges through Science Education Research: Selected papers from the ESERA 2019 Conference. Cham: Springer. 2021. S. 19–30. ISBN 978-3-030-74490-8. Verfügbar unter: https://irf.fhnw.ch/handle/11654/33061