Supplementary data for the paper 'ChatGPT in education: Empowering educators through methods for recognition and assessment'

doi:10.4121/a41d11f9-83a3-4f12-b59f-540a1e18dc1d.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/a41d11f9-83a3-4f12-b59f-540a1e18dc1d
Datacite citation style:
de Winter, Joost; Dodou, Dimitra; Stienen, Arno (2023): Supplementary data for the paper 'ChatGPT in education: Empowering educators through methods for recognition and assessment'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a41d11f9-83a3-4f12-b59f-540a1e18dc1d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
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ChatGPT is widely used among students, a situation that challenges educators. The current paper presents two strategies that do not push educators into a defensive role but can empower them. Firstly, we show, based on statistical analysis, that ChatGPT use can be recognized from certain keywords such as ‘delves’ and ‘crucial’. This insight allows educators to detect ChatGPT-assisted work more effectively. Secondly, we illustrate that ChatGPT can be used to assess texts written by students. The latter topic was presented in two interactive workshops provided to educators and educational specialists. The results of the workshops, where prompts were tested live, indicated that ChatGPT, provided a targeted prompt is used, is good at recognizing errors in texts but not consistent in grading. Ethical and copyright concerns were raised as well in the workshops. In conclusion, the methods presented in this paper may help fortify the teaching methods of educators. The computer scripts that we used for live prompting are available and enable educators to give similar workshops

history
  • 2023-11-29 first online, published, posted
publisher
4TU.ResearchData
format
script/m; data/xlsx
organizations
Department of Cognitive Robotics, Faculty of Mechanical Engineering, Delft University of Technology
Department of Biomechanical Engineering, Faculty of Mechanical Engineering, Delft University of
Technology

DATA

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