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Scaffolding, software and scenarios: Applying Bruner's learning theory to energy scenario development with the public

机译:脚手架,软件和情景:将布鲁纳的学习理论应用于与公众的能源情景发展

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摘要

While there is a literature on public and stakeholder engagement in environmental research and scenario development, less attention has been given to the individual learning processes that take place in these contexts. We present public perceptions of emission contraction scenarios for the UK city of Manchester and discuss this in terms of learning theory developed by Lev Vygotsky and Jerome Bruner. A key theme of this was the combination of three learning tools: scaffolding techniques, scenario building and backcasting. Overall, participants had little trouble envisaging a city-scale 41% CO emissions reduction by 2020 relative to a 2005 baseline. However envisaging a 90% CO emissions reduction for 2050 was found much more difficult, inducing discussion of whether some forms of compulsion might be justifiable. Despite detailed discussion and real-time, modelled feedback on the emissions implications of various energy technology scenarios, participants largely retained their original attitudes towards individual technologies and demand reduction options.
机译:尽管有关于公众和利益相关者参与环境研究和情景开发的文献,但是对于在这种情况下发生的个人学习过程的关注却很少。我们介绍了英国曼彻斯特市对排放收缩情景的公众看法,并根据列夫·维果茨基和杰罗姆·布鲁纳提出的学习理论进行了讨论。其中一个关键主题是三个学习工具的组合:脚手架技术,场景构建和反向广播。总体而言,参与者毫不费力地设想到2020年,相对于2005年的基准,城市规模的CO排放量减少41%。但是,发现要想在2050年之前将CO排放量减少90%的难度要大得多,这引发了人们对某些强制形式是否合理的讨论。尽管对各种能源技术情景的排放影响进行了详细的讨论和实时的模型化反馈,但参与者在很大程度上仍保留了对个别技术和减少需求方案的原始态度。

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