Semi-automated rubrics for evidence-based medicine assessment: a case report on grading time reduction.
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| Title: | Semi-automated rubrics for evidence-based medicine assessment: a case report on grading time reduction. |
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| Authors: | Magro, Juliana1 juliana.magro@nyulangone.org |
| Source: | Journal of the Medical Library Association. Jul2026, Vol. 114 Issue 3, p290-296. 7p. |
| Subjects: | Teaching methods, Educational tests & measurements, Descriptive statistics, Medical students, Workflow, Time management, Medical schools, Evidence-based medicine, Medical librarianship, Student assignments |
| Abstract: | Background: Librarians providing feedback on Evidence-Based Medicine (EBM) assignments face time constraints. This case report describes implementing a semi-automated rubric -- defined here as a tool that automatically calculates scores from grader-selected ratings while narrative feedback is still written by the instructor -- to reduce grading time for an EBM capstone assignment for first-year medical students. Case Presentation: Two cohorts of approximately 100 students completed the same EBM assignment. The 2023 cohort received manual feedback, while the 2024 cohort received feedback using the semi-automated rubric. Grading time was logged for both cohorts. The rubric, adapted from a template, automatically calculates scores based on selected criteria, streamlining the feedback process. Conclusions: The semi-automated rubric reduced grading time by 30%, from an average of seven minutes per assignment to five minutes. This simple, adaptable intervention can help reduce educator workload, improve feedback timeliness, and enhance assessment consistency. While limited by its single-grader and single institution design, this case report offers practical insights for educators seeking to improve feedback efficiency in EBM and other disciplines. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Medical Library Association is the property of University of Pittsburgh, University Library System and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 195364676 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Semi-automated rubrics for evidence-based medicine assessment: a case report on grading time reduction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Magro%2C+Juliana%22">Magro, Juliana</searchLink><relatesTo>1</relatesTo><i> juliana.magro@nyulangone.org</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Medical+Library+Association%22">Journal of the Medical Library Association</searchLink>. Jul2026, Vol. 114 Issue 3, p290-296. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+tests+%26+measurements%22">Educational tests & measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+students%22">Medical students</searchLink><br /><searchLink fieldCode="DE" term="%22Workflow%22">Workflow</searchLink><br /><searchLink fieldCode="DE" term="%22Time+management%22">Time management</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+schools%22">Medical schools</searchLink><br /><searchLink fieldCode="DE" term="%22Evidence-based+medicine%22">Evidence-based medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+librarianship%22">Medical librarianship</searchLink><br /><searchLink fieldCode="DE" term="%22Student+assignments%22">Student assignments</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Librarians providing feedback on Evidence-Based Medicine (EBM) assignments face time constraints. This case report describes implementing a semi-automated rubric -- defined here as a tool that automatically calculates scores from grader-selected ratings while narrative feedback is still written by the instructor -- to reduce grading time for an EBM capstone assignment for first-year medical students. Case Presentation: Two cohorts of approximately 100 students completed the same EBM assignment. The 2023 cohort received manual feedback, while the 2024 cohort received feedback using the semi-automated rubric. Grading time was logged for both cohorts. The rubric, adapted from a template, automatically calculates scores based on selected criteria, streamlining the feedback process. Conclusions: The semi-automated rubric reduced grading time by 30%, from an average of seven minutes per assignment to five minutes. This simple, adaptable intervention can help reduce educator workload, improve feedback timeliness, and enhance assessment consistency. While limited by its single-grader and single institution design, this case report offers practical insights for educators seeking to improve feedback efficiency in EBM and other disciplines. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the Medical Library Association is the property of University of Pittsburgh, University Library System and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=195364676 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5195/jmla.2026.2343 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 290 Subjects: – SubjectFull: Teaching methods Type: general – SubjectFull: Educational tests & measurements Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Medical students Type: general – SubjectFull: Workflow Type: general – SubjectFull: Time management Type: general – SubjectFull: Medical schools Type: general – SubjectFull: Evidence-based medicine Type: general – SubjectFull: Medical librarianship Type: general – SubjectFull: Student assignments Type: general Titles: – TitleFull: Semi-automated rubrics for evidence-based medicine assessment: a case report on grading time reduction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Magro, Juliana IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15365050 Numbering: – Type: volume Value: 114 – Type: issue Value: 3 Titles: – TitleFull: Journal of the Medical Library Association Type: main |
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