Beyond Technical Implementation: A Systematic Review of Artificial Intelligence Applications in Museum Learning
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| Autori principali: | , |
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| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2026
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| _version_ | 1866901964625805312 |
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| author | Wanča, Nina Sixta, Václav |
| author_facet | Wanča, Nina Sixta, Václav |
| contents | <p>This dataset documents a process and the results of a systematic literature review examining the relationship between the generative Artificial Intelligence (genAI) and learning in museums. It provides full description of the serach and selection process and the description of results. The related study addresses three research questions: which AI-driven technologies are being applied in museum learning contexts, which educational use-cases they address, and how these dimensions interrelate.</p> <p>Dataset Structure</p> <p>-PRISMA chart documenting the process of searching, identification and screening the results</p> <p>-the table depicting the results, including the information about non/acceptance of each result and classiffication into clusters</p> <p>- the blank table used to the description of the results</p> <p>- the Boolean phrases used for the search</p> <p>- the full description of the results</p> <p>- the description of the scoring system used in the study</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19369600 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Beyond Technical Implementation: A Systematic Review of Artificial Intelligence Applications in Museum Learning Wanča, Nina Sixta, Václav Artificial Intelligence Museums Exhibitions as Topic Learning Educational Technology/education museum education visitor learning <p>This dataset documents a process and the results of a systematic literature review examining the relationship between the generative Artificial Intelligence (genAI) and learning in museums. It provides full description of the serach and selection process and the description of results. The related study addresses three research questions: which AI-driven technologies are being applied in museum learning contexts, which educational use-cases they address, and how these dimensions interrelate.</p> <p>Dataset Structure</p> <p>-PRISMA chart documenting the process of searching, identification and screening the results</p> <p>-the table depicting the results, including the information about non/acceptance of each result and classiffication into clusters</p> <p>- the blank table used to the description of the results</p> <p>- the Boolean phrases used for the search</p> <p>- the full description of the results</p> <p>- the description of the scoring system used in the study</p> <p> </p> |
| title | Beyond Technical Implementation: A Systematic Review of Artificial Intelligence Applications in Museum Learning |
| topic | Artificial Intelligence Museums Exhibitions as Topic Learning Educational Technology/education museum education visitor learning |
| url | https://doi.org/10.5281/zenodo.19369600 |