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      Using examination performance data and focus groups to inform teaching – a case study from final year students of veterinary medicine

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          Abstract

          Background

          Student feedback has played an important role in the maintenance of quality and standards in higher education. Perhaps the most commonly used method to capture feedback is a series of questions or statements where students indicate their degree of satisfaction or agreement. Focus groups offer an alternative means of capturing ‘richer’ qualitative data relating to students’ thoughts on course structure. Aside from student evaluations, student examination performance has been used as a method to evaluate the efficacy of curriculum changes at programme level. However, this data is utilised less so at a ‘finer detail’ level to identify specific issues with the delivery of teaching.

          Case presentation

          The purpose of this report was to outline the approach taken using qualitative and quantitative data to identify problems with a specific area of teaching, inform a new teaching approach and to assess the impact of those changes. Following quantitative and qualitative analysis, a practical class on dairy herd fertility performance was highlighted as an area for improvement. After the introduction of the newly formatted practical class with a greater focus on self-directed learning, there was a significant increase in the average score ( p < 0.001) and a decrease in the proportion of students failing (p < 0.001) the question that assessed the analysis of dairy herd fertility data. In addition, the R-squared value between students’ performance in the fertility question and their performance in the overall examination increased from 0.06 to 0.11.

          Conclusions

          The combination of qualitative focus group data and quantitative analysis of examination performance data represent robust methods for identifying problems associated with specific aspects of veterinary teaching.

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          Most cited references12

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          Instruments for obtaining student feedback: a review of the literature

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            The effectiveness of self-directed learning in health professions education: a systematic review.

            Given the continuous advances in the biomedical sciences, health care professionals need to develop the skills necessary for life-long learning. Self-directed learning (SDL) is suggested as the methodology of choice in this context. The purpose of this systematic review is to determine the effectiveness of SDL in improving learning outcomes in health professionals. We searched MEDLINE, EMBASE, ERIC and PsycINFO through to August 2009. Eligible studies were comparative and evaluated the effect of SDL interventions on learning outcomes in the domains of knowledge, skills and attitudes. Two reviewers working independently selected studies and extracted data. Standardised mean difference (SMD) and 95% confidence intervals (95% CIs) were estimated from each study and pooled using random-effects meta-analysis. The final analysis included 59 studies that enrolled 8011 learners. Twenty-five studies (42%) were randomised. The overall methodological quality of the studies was moderate. Compared with traditional teaching methods, SDL was associated with a moderate increase in the knowledge domain (SMD 0.45, 95% CI 0.23-0.67), a trivial and non-statistically significant increase in the skills domain (SMD 0.05, 95% CI-0.05 to 0.22), and a non-significant increase in the attitudes domain (SMD 0.39, 95% CI-0.03 to 0.81). Heterogeneity was significant in all analyses. When learners were involved in choosing learning resources, SDL was more effective. Advanced learners seemed to benefit more from SDL. Moderate quality evidence suggests that SDL in health professions education is associated with moderate improvement in the knowledge domain compared with traditional teaching methods and may be as effective in the skills and attitudes domains. © Blackwell Publishing Ltd 2010.
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              Classical test theory.

              Classical test theory (CTT) comprises a set of concepts and methods that provide a basis for many of the measurement tools currently used in health research. The assumptions and concepts underlying CTT are discussed. These include item and scale characteristics that derive from CTT as well as types of reliability and validity. Procedures commonly used in the development of scales under CTT are summarized, including factor analysis and the creation of scale scores. The advantages and disadvantages of CTT, its use across populations, and its continued use in the face of more recent measurement models are also discussed.
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                Author and article information

                Contributors
                conor.mcaloon@ucd.ie
                Journal
                Ir Vet J
                Ir Vet J
                Irish Veterinary Journal
                BioMed Central (London )
                0368-0762
                2046-0481
                10 January 2020
                10 January 2020
                2020
                : 73
                : 1
                Affiliations
                [1 ]ISNI 0000 0001 0768 2743, GRID grid.7886.1, School of Veterinary Medicine, , University College Dublin, ; Belfield, Dublin, D04 W6F6 Ireland
                [2 ]ISNI 0000 0001 2193 314X, GRID grid.8756.c, Scottish Centre for Production Animal Health and Food Safety, , University of Glasgow, School of Veterinary Medicine, ; Bearsden Road, Glasgow, G61 1QH UK
                Author information
                http://orcid.org/0000-0002-4984-4031
                Article
                155
                10.1186/s13620-020-0155-3
                6954542
                14480302-75f3-4437-903d-f8ce8d2eb039
                © The Author(s). 2020

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 17 October 2019
                : 6 January 2020
                Categories
                Case Report
                Custom metadata
                © The Author(s) 2020

                Veterinary medicine
                “dairy” “focus groups” “teaching evaluations”
                Veterinary medicine
                “dairy” “focus groups” “teaching evaluations”

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