Instruction on Using the GAIDeT Declaration Generator in the Educational Process
This instruction provides practical guidance on how to use the GAIDeT Declaration Generator for transparent disclosure of generative AI contributions in the educational process. It explains the principle of transparency, steps for generating declarations (tool name, version, delegated tasks, comments), and where to include them in student work, presentations, or group projects. The GAIDeT Declaration Generator is freely available online: Ukrainian version: https://panbibliotekar.github.io/gaidet-declaration/index-uk.html English version: https://panbibliotekar.github.io/gaidet-declaration/index Suchikova, Y., Tsybuliak, N., Teixeira da Silva, J. A., & Nazarovets, S. (2025). GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing. Accountability in Research, in press. https://doi.org/10.1080/08989621.2025.2544331 The instruction is released under the CC0 1.0 Universal license, allowing free reuse in university policies, syllabi, and institutional documents.
Institutions
- Berdyansk State Pedagogical University (UA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-23
- DOI
- https://doi.org/10.5281/zenodo.17184550
- Primary Topic
- Innovation Diffusion and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00