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Dataset . 2021
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Dataset . 2021
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ZENODO
Dataset . 2021
Data sources: Datacite
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Dataset . 2021
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Dataset . 2021
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ESD Study Results

Authors: Green, Caroline;

ESD Study Results

Abstract

Data and R Scripts necessary to reproduce results of ESD study at NUIG conducted and analysed in 2020-2021. The study aimed to investigate whether Systems Thinking (ST) and/or System Dynamics simulation (Sim) increased the effectiveness of Sustainability Education. In the study, participants were randomly allocated to one of four groups, and interacted with an online learning tool which contained embedded quizzes. Their performance in these quizzes formed the basis for comparison between groups. An open access of the learning tool is available here: https://exchange.iseesystems.com/public/carolineb/sustainability-learning-tool/. The R Scripts folder contains 4 R scripts used for data analysis. Run the script function_qualitative.R first. The data folder contains the anonymised research data. Create a folder called data beneath the folder containing your R scripts. The model folder contains the System Dynamics deer model (.stmx) file, used for the simulation exercises. The surveys folder is for reference only. It contains the surveys and quizzes used to collect the data, together with quiz marking schemes, code books and quiz answers. In the data, group members are identified by a number from 0 to 3: group 0 means control group, group 1 means ST group, group 2 means Sim group and group 3 means ST + Sim group. For more details see README.md and the readme.txt files in each folder.

Additional funding from the Higher Education Authority (HEA), Ireland.

Related Organizations
Keywords

Randomised controlled trial, Education for Sustainable Development, Systems Thinking, ESD, System Dynamics, Simulation, Online learning tool

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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