Generative artificial intelligence models outperform students on divergent and convergent thinking assessments.
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| Title: | Generative artificial intelligence models outperform students on divergent and convergent thinking assessments. |
|---|---|
| Authors: | Arora, Vikram1,2 (AUTHOR) v.arora@mail.utoronto.ca, Thabane, Alex1 (AUTHOR), Parpia, Sameer1 (AUTHOR), Calic, Goran3 (AUTHOR), Bhandari, Mohit1,4 (AUTHOR) |
| Source: | Scientific Reports. 10/22/2025, Vol. 15 Issue 1, p1-12. 12p. |
| Database: | Academic Search Ultimate |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-21398-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: Generative artificial intelligence models outperform students on divergent and convergent thinking assessments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Arora, Vikram – PersonEntity: Name: NameFull: Thabane, Alex – PersonEntity: Name: NameFull: Parpia, Sameer – PersonEntity: Name: NameFull: Calic, Goran – PersonEntity: Name: NameFull: Bhandari, Mohit IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 10 Text: 10/22/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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