Automated Test-Item Generation System for Retrieval Practice in Radiology Education.
Objective: To develop and disseminate an automated item generation (AIG) system for retrieval practice (self-testing) in radiology and to obtain trainee feedback on its educational utility.Materials and Methods: An AIG software program (Radmatic) that is capable of generating large numbers of distin...
| Publicado en: | Academic Radiology Vol. 26; no. 6; pp. 851 - 860 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Jun2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136500051&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136500051 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10766332 T4X jtl: Academic Radiology issn: 10766332 maglogo: N pubinfo: dt: Jun2019 vid: 26 iid: 6 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 136500051 136500051 NLM30316703 136500051 10.1016/j.acra.2018.09.017 NLM30316703 136500051 ppf: 851 ppct: 9 formats: tig: atl: Automated Test-Item Generation System for Retrieval Practice in Radiology Education. aug: au: Gunabushanam, Gowthaman Taylor, Caroline R. Mathur, Mahan Bokhari, Jamal Scoutt, Leslie M. affil: Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, P O Box 208042, New Haven, Connecticut 06520-8042 sug: subj: Internship and Residency Computer-Assisted Instruction Specialties, Medical Education Educational Measurement Test Taking Scales ab: Objective: To develop and disseminate an automated item generation (AIG) system for retrieval practice (self-testing) in radiology and to obtain trainee feedback on its educational utility.Materials and Methods: An AIG software program (Radmatic) that is capable of generating large numbers of distinct multiple-choice self-testing items from a given "item-model" was created. Instead of writing multiple individual self-testing items, an educator creates an "item-model" for one of two distinct item styles: true/false knowledge based items and image-based items. The software program then uses the item model to generate self-testing items upon trainee request. This internet-based system was made available to all radiology residents at our institution in conjunction with our didactic conferences. After obtaining institutional review board approval and informed consent, a written survey was conducted to obtain trainee feedback.Results: Two faculty members with no computer programming experience were able to create item-models using a standard template. Twenty five of 54 (46%) radiology residents at our institution participated in the study. Twelve of these 25 (48%) study participants reported using the self-testing items regularly, which correlated well with the anonymous website usage statistics. The residents' overall impression and satisfaction with the self-testing items was quite positive, with a score of 7.89 ± 1.91 (mean ± SD) out of 10. Lack of time and email overload were the main reasons provided by residents for not using self-testing items.Conclusion: AIG enabled self-testing is technically feasible, and is perceived positively by radiology residents as useful to their education. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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