The Stories We Live By and the stories we won’t stand by: Measuring the impact of a free online course in ecolinguistics

Mariana Roccia, Jessica Iubini-Hampton
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引用次数: 2

Abstract

Abstract Current dominant narratives of economic growth, consumerism, and anthropocentric views on human existence, to name a few, are behind the driving forces responsible for the increasing destruction of the very own ecological systems that all life depends on. By utilizing tools of Discourse Analysis while adopting an ecological perspective, the free online course The Stories We Live By (TSWLB) offers a practical and accessible framework in which stories can be critically evaluated, questioned, and resisted. Crucially, students are encouraged to apply their newly acquired theoretical insights to search for alternative stories to live by. While current approaches of impact assessment beyond academia can be measured more readily in the sciences, it is harder to assess whether, how, and to what extent humanities research produces change in society; arguably, the digital format of the course adds to the complexity of assessing its impact. In this article, the authors aim to draw attention on the inherent value of the dissemination of traditional academic tools beyond academia. By combining both qualitative and quantitative methodologies in relation to the free online course TSWLB as a case study, the article provides an innovative tool to effectively measure impact which renders itself suitable for a wider range of disciplines across both traditional and digital humanities.
我们赖以生存的故事和我们不会忍受的故事:衡量生态语言学免费在线课程的影响
当前占主导地位的经济增长、消费主义和人类中心主义对人类存在的看法,仅举几例,是导致所有生命赖以生存的生态系统日益遭到破坏的驱动力。免费在线课程《我们赖以生存的故事》(the Stories We Live By, TSWLB)利用话语分析的工具,同时采用生态学的视角,提供了一个实用且易于理解的框架,在这个框架中,故事可以被批判性地评估、质疑和抵制。最重要的是,鼓励学生运用他们新获得的理论见解来寻找生活的替代故事。虽然目前学术界以外的影响评估方法可以更容易地在科学领域进行衡量,但很难评估人文科学研究是否、如何以及在多大程度上产生了社会变化;可以说,课程的数字化形式增加了评估其影响的复杂性。在这篇文章中,作者旨在引起人们对传统学术工具传播的内在价值的关注。通过结合与免费在线课程TSWLB相关的定性和定量方法作为案例研究,本文提供了一个创新的工具来有效地衡量影响,使其适合于传统和数字人文学科的更广泛学科。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.70
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