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    Automated formative assessments are associated to successful academic outcomes among first year anatomy students

    Access Status
    Fulltext not available
    Authors
    De Oliveira, Beatriz Ito Ramos
    Ng, Leo
    Furness, Anne
    Owens, John
    Jacques, Angela
    Travers, Mervyn
    Date
    2019
    Type
    Conference Paper
    
    Metadata
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    Citation
    De Oliveira, B.I.R., Ng, L., Furness, A., Owens, J., Jacques, A. and Travers, M. 2019. Automated formative assessments are associated to successful academic outcomes among first year anatomy students. In: ANZAC2019 - 16th Annual Meeting of the Australian and New Zealand Association of Clinical Anatomists: The Modern Anatomist: Where are we now and where are we headed? 4th Dec 2019, Perth, Australia.
    Source Conference
    ANZAC2019 - 16th Annual Meeting of the Australian and New Zealand Association of Clinical Anatomists: The Modern Anatomist: Where are we now and where are we headed?
    Faculty
    Faculty of Health Sciences
    School
    School of Physiotherapy and Exercise Science
    URI
    http://hdl.handle.net/20.500.11937/77217
    Collection
    • Curtin Research Publications
    Abstract

    Introduction: Formative assessments can be useful in motivating student academic success through feedback and can be particularly helpful for first year anatomy students. However, this is often precluded by large student numbers. In order to enable formative assessments to large student numbers, an automated assessment system was utilised. The main aims were to assess if automated formative scores were associated to improved summative scores and if they could ultimately be used to predict academic outcomes among first year anatomy students. Material and Methods: A quasi-experimental study assessed 220 students enrolled in an anatomy course over six time points: formative assessments 1 (FAx 1) and 2 (FAx2) before the Mid-semester summative assessment, and formative assessments 3 (FAx 3) and 4 (FAx4) before the Final summative assessment. Linear models were used to assess if formative scores were associated with summative scores to predict academic outcomes. Results: Mean Mid-semester scores (x ̅=60.28%) improved by 28.73% and 21% compared to FAx1 (x ̅=31.55%) and FAx2 (x ̅= 39.28). FAx1 and FAx2 scores were moderately-to-strongly correlated with Mid-semester scores (FAx1: r= 0.710, p<0.001; FAx2: 0.682, p<0.001). Mean Final scores (x ̅=70.32%) also improved by 34.03% and 30.03% compared to FAx3 (x ̅=36.29%) and FAx4 (x ̅=39.47%). FAx3 and FAx4 were also moderately-to-strongly correlated to Final scores (FAx3: r= 0.706, p<0.001; FAx4: r= 0.719, p<0.001). Conclusion: Students performed progressively better on automated formative assessments in the lead-up to automated summative assessments and formative scores can be used to predict academic outcomes among a large number of first year anatomy students.

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