Systematic Review of AI Applications in Museum Learning, 1.7 MB
by Václav Sixta·Updated 1mo ago
1.7 MB6files
Available on 1 platform
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Description
Václav Sixta's dataset documents a systematic literature review on generative AI and learning in museums. The 1.7 MB collection includes a PRISMA chart, result tables, Boolean search phrases, and a full description of the review process and scoring system. It was last updated on May 6, 2026.
Use Cases
Replicating the systematic review process based on the documented PRISMA chart and Boolean search phrases.
Analyzing the classification of AI technologies and educational use-cases in museums based on the results table.
Understanding the scoring system used to evaluate literature in this domain based on the provided description.
Strengths
Includes a PRISMA chart documenting the search, identification, and screening process.
Provides the Boolean phrases used for the literature search.
Dataset is 1.7 MB in size and available in PDF and XLSX formats.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Provenance
Source
Václav Sixta via figshare.
Collection Method
Systematic literature review.
Time Range
The temporal coverage of the reviewed literature is not specified.
Freshness
Last updated 2026-05-06 08:57:45; freshness should be verified.
Geography
The geographic scope of the reviewed literature is not specified.