From setting to vetting: using artificial intelligence for Single Best Answer questions review.
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| Title: | From setting to vetting: using artificial intelligence for Single Best Answer questions review. |
|---|---|
| Authors: | Ng, Olivia1 (AUTHOR) olivia.ngxw@ntu.edu.sg, Han, Siew Ping1 (AUTHOR), Lee, Magdalene Hui Min2 (AUTHOR), Phua, Dong Haur1,2 (AUTHOR) |
| Source: | Korean Journal of Medical Education. Mar2026, Vol. 38 Issue 1, p10-14. 5p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192732157 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3946/kjme.2025.068 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 10 Titles: – TitleFull: From setting to vetting: using artificial intelligence for Single Best Answer questions review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ng, Olivia – PersonEntity: Name: NameFull: Han, Siew Ping – PersonEntity: Name: NameFull: Lee, Magdalene Hui Min – PersonEntity: Name: NameFull: Phua, Dong Haur IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2005727X Numbering: – Type: volume Value: 38 – Type: issue Value: 1 Titles: – TitleFull: Korean Journal of Medical Education Type: main |
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