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Does an intercalated clinical placement make a difference to learning gain?Wheelhouse, Richard T. January 2017 (has links)
No / Background
Anecdotally, it has long been felt by academic staff that students on the Bradford 5-year sandwich degree programme (intercalated pre-registration training) performed differently on return to university from those on the continuous 4-year programme. Direct comparisons between cohorts have been difficult to undertake as the two groups were taught separately in their final stage. In 2016-17, a cohort of returning sandwich students was taught alongside a comparable group of continuous students in a final stage module. This study compares the results from these two student cohorts.
Method
The Pharmacy Special Studies module offered a very broad range of opportunities across laboratory research, systematic and scoping review, product development and care-orientated topics including audit, and analysis of clinical cases, organised in 9 separate “strands.” Students from the sandwich (n=99) and continuous (n=89) courses were offered the same selection of learning experiences.
Assessment was by oral presentation and discussion (slides or poster) and written report. The Level 7 marking schemes used were designed so that the highest marks were only available to reward student demonstration of the higher-level critical, analytical and interpretative skills.
Results
Student performance across all 9 strands of the module was comparable. When module results were split according to cohort, a strong divergence was observed. Sandwich student results displayed an approximately bell-shaped distribution with a mean mark 73.2% (SD 8.1). In contrast, the continuous student results had a lower mean 67.3% (SD 8.5, p<10-5); moreover, the distribution of these marks was distorted with a ‘cliff edge’ in the low 70s and a long tail.
Conclusion
This analysis shows that students who had completed 6 months pre-registration training achieved, on average, higher grades. Moreover, they demonstrated improved higher-level skills of interpretation and critical analysis compared with the continuous group. Although this is a one-year “snapshot” observation it appears to show that following 6 months preregistration training, students are better able to critically evaluate and interpret data and draw evidence-based conclusions. Such a result could provide evidence for the benefits of intercalated placements and indicate the optimal location of professional training within the academic course. Any impact on pre-registration training itself remains to be determined. / Abstract, presented at the Pharmacy Education Conference 2017, Manchester, United Kingdom.
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Evaluating Predictions of Transfer and Analyzing Student MotivationCroteau, Ethan 30 April 2004 (has links)
Cognitive Science is interested in being able to develop methodologies for analyzing human learning and performance data. Intelligent tutoring systems need good cognitive models that can predict student performance. Cognitive models of human processing are also useful in tutoring because well-designed curriculums need to understand the common components of knowledge that students need to be able to employ. A common concern is being able to predict when transfer should happen. We describe a methodology first used by Koedinger that uses empirical data and cognitively principled task analysis to evaluate the fit of cognitive models. This methodology seems particularly useful when you are trying to find evidence for“hidden" knowledge components, which are hard to assess because they are confounded with accessing other knowledge components. We present this methodology as well as an illustration showing how we are trying to use this method to answer an important cognitive science issue.
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