Academic databases and AI systems for doctoral theses
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- dc.contributor.author Codina, Lluís
- dc.contributor.author Aguilera Cora, Elisenda
- dc.contributor.author Lopezosa, Carlos
- dc.date.accessioned 2024-11-04T14:35:22Z
- dc.date.available 2024-11-04T14:35:22Z
- dc.date.issued 2024
- dc.description.abstract Key aspects in the use of academic databases and generative artificial intelligence in academic works in the light of ethics and critical thinking. Review of how to use Scopus and Web of Science. Discussion aboutthe intervention points (loci) of databases and artificial intelligence systems: introduction, theoretical framework, state of the art, methodological framework and discussion. Review of six main points of work with artificial intelligence systems: sources, attribution, verification, linking, search spaces, privacy. Presentation of the main phases and procedures for the use of generative artificial intelligence for academic work. Characteristics of AI systems for academic use. The problem of attribution as a new source of plagiarism, voluntary or involuntary. Evaluation: variables, phases and procedures.ca
- dc.format.mimetype application/pdf
- dc.identifier.uri http://hdl.handle.net/10230/68431
- dc.language.iso engca
- dc.rights License : Document published under a CC Attribution-ShareAlike 4.0 International licenseca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/ca
- dc.subject.keyword Academic databases
- dc.subject.keyword Scopus
- dc.subject.keyword Web of Science
- dc.subject.keyword Generative artificial intelligence
- dc.subject.keyword Perplexity
- dc.subject.keyword Elicit
- dc.subject.keyword Academic papers
- dc.subject.keyword Chain of attribution
- dc.subject.keyword Ethics
- dc.subject.keyword Critical thinking
- dc.subject.keyword Citation
- dc.title Academic databases and AI systems for doctoral thesesca
- dc.type info:eu-repo/semantics/reportca