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STI 2024
Published November 16, 2024 | Version v1
Poster Open

A new approach for collecting academic profession data: What can(not) ChatGPT yield?

Authors/Creators

  • Eldemir, Pınar1 ORCID icon
  • Lepori, Benedetto ORCID icon
  • Kwiek, Marek ORCID icon
  • 1. ROR icon Università della Svizzera italiana

Files

STI_2024_Poster_10092024.pdf

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External resources

Indexed in
  • OpenAIRE

Communities

Keywords and subjects

Keywords

  • generative AI
  • higher education
  • ChatGPT
  • data collection
  • methodology

Details

DOI
10.5281/zenodo.14173716
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DOI

10.5281/zenodo.14173716

Markdown

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.14173716.svg)](https://doi.org/10.5281/zenodo.14173716)

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.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.14173716.svg
  :target: https://doi.org/10.5281/zenodo.14173716

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<a href="https://doi.org/10.5281/zenodo.14173716"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.14173716.svg" alt="DOI"></a>

Image URL

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Target URL

https://doi.org/10.5281/zenodo.14173716
Resource type
Poster
Publisher
Zenodo
Conference
28th International Conference on Science, Technology and Innovation Indicators (STI2024) , Berlin, Germany, 18 20 September 2024
Languages
English

Rights

License
cc-by-4.0 icon Creative Commons Attribution 4.0 International
The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

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Technical metadata

Created
November 18, 2024
Modified
November 18, 2024

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