Interviews about the educational exercise tinkering with technology
doi:10.4121/20020154.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/20020154
doi: 10.4121/20020154
Datacite citation style:
Franssen, Trijsje (2022): Interviews about the educational exercise tinkering with technology. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20020154.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Three interviews with students who participated in a class on ethics of technology using a novel experimental method, the tinkering exercise. We asked the students about their impressions of the exercise, what worked and what didn't. We subsequently used these interviews in a publication (still under peer review) to conclude about the exercise.
history
- 2022-06-11 first online
- 2022-06-14 published, posted
publisher
4TU.ResearchData
format
Word documents
funding
- Ethics COMET RE-LAUNCH Projectcode: TBM_ERE_2021_02_4TU.CEE.TUD
organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Values, Technology and Innovation.
DATA - restricted access
Reason
In the ethics agreement, we promised to make the interviews not accessible by default, so that our respondents (who are students) could not be identified. Due to the very specific questions about the class in which they participated, these students could be identified. We also promised to allow access to this data only to researchers working on the same topics, and who will motivate their request. The request for access needs to be endorsed by the Ethics or Legal department of the university for those making the request. The researchers requesting access need to comply with the confidentiality agreement and with GDPR. We will review these requests and decide on a case by case basis.Your request will be sent to the owner of the dataset.
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