Literature DB >> 15507010

Prior academic background and student performance in assessment in a graduate entry programme.

P L Craig1, J J Gordon, R M Clark, V Langendyk.   

Abstract

OBJECTIVES: This study aims to identify whether non-science graduates perform as well as science graduates in Basic and Clinical Sciences (B & CS) assessments during Years 1-3 of a four-year graduate-entry programme at the University of Sydney (the 'USydMP').
METHODS: Students were grouped into five categories: Health Professions (HP), Biomedical Sciences (BMS), Other Biology (BIOL), Physical Sciences (PHYS) or Non-Science (NONS). We examined the performance rank of students in each of the five groups for single best answer (SBA) and modified essay (MEQ) assessments separately, and also calculated the relative risk of failure in the summative assessments in Years 2 and 3.
RESULTS: Students with science-based prior degrees performed better in the SBA assessments. The same occurred initially in the MEQs, but the effect diminished with time. The HP students performed consistently better but converged with other groups over time, particularly in the MEQs. Relative performance by the NONS students improved with time in both assessment formats. Overall, differences between the highest and lowest groups were small and very few students failed to meet the overall standard for the summative assessments. HP and BMS students had the lowest failure rate. NONS students were more likely to fail the assessments in Year 2 and 3, but their pass rates were still high. Female students performed significantly better overall at the end of Year 2 and in Year 3. There were only minor differences between Australian resident and International students.
CONCLUSION: While there are small differences in performance in B & CS early in the programme, these lessen with time. The study results will inform decisions regarding timing of summative assessments, selection policy and for providing additional support to students who need it to minimize their risk of failure. Readers should note that this paper refers to student performance in only one of the four curriculum themes, where health professional and science graduates would be expected to have a significant advantage.

Entities:  

Mesh:

Year:  2004        PMID: 15507010     DOI: 10.1111/j.1365-2929.2004.02043.x

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  7 in total

1.  Graduate entry medicine: selection criteria and student performance.

Authors:  Owen Bodger; Aidan Byrne; Philip A Evans; Sarah Rees; Gwen Jones; Claire Cowell; Mike B Gravenor; Rhys Williams
Journal:  PLoS One       Date:  2011-11-21       Impact factor: 3.240

2.  Medical student selection criteria and junior doctor workplace performance.

Authors:  Ruth M Sladek; Christine Burdeniuk; Alison Jones; Kevin Forsyth; Malcolm J Bond
Journal:  BMC Med Educ       Date:  2019-10-21       Impact factor: 2.463

3.  Prior degree and academic performance in medical school: evidence for prioritising health students and moving away from a bio-medical science-focused entry stream.

Authors:  Kathryn Aston-Mourney; Janet McLeod; Leni R Rivera; Bryony A McNeill; Deborah L Baldi
Journal:  BMC Med Educ       Date:  2022-10-04       Impact factor: 3.263

4.  Predicting academic outcomes in an Australian graduate entry medical programme.

Authors:  Ian B Puddey; Annette Mercer
Journal:  BMC Med Educ       Date:  2014-02-15       Impact factor: 2.463

5.  Studying medicine - a cross-sectional questionnaire-based analysis of the motivational factors which influence graduate and undergraduate entrants in Ireland.

Authors:  Saadah Sulong; Deirdre McGrath; Paul Finucane; Mary Horgan; Siún O'Flynn; Colm O'Tuathaigh
Journal:  JRSM Open       Date:  2014-03-12

6.  Comparison of performance in a four year graduate entry medical programme and a traditional five/six year programme.

Authors:  Annette T Byrne; Richard Arnett; Tom Farrell; Seamus Sreenan
Journal:  BMC Med Educ       Date:  2014-12-10       Impact factor: 2.463

7.  Predicting success in medical school: a longitudinal study of common Australian student selection tools.

Authors:  Ruth M Sladek; Malcolm J Bond; Linda K Frost; Kirsty N Prior
Journal:  BMC Med Educ       Date:  2016-07-22       Impact factor: 2.463

  7 in total

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