Subject design and factors affecting achievement in mathematics for biomedical science
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Steven Carnie [1] ; Anthony Morphett [1]
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[1] University of Melbourne
University of Melbourne
Australia
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- Localización: International journal of mathematical education in science and technology, ISSN 0020-739X, Vol. 48, Nº. 1, 2017, págs. 31-47
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
Reports such as Bio2010 emphasize the importance of integrating mathematical modelling skills into undergraduate biology and life science programmes, to ensure students have the skills and knowledge needed for biological research in the twenty-first century. One way to do this is by developing a dedicated mathematics subject to teach modelling and mathematical concepts in biological contexts. We describe such a subject at a research-intensive Australian university, and discuss the considerations informing its design. We also present an investigation into the effect of mathematical and biological background, prior mathematical achievement, and gender, on student achievement in the subject. The investigation shows that several factors known to predict performance in standard calculus subjects apply also to specialized discipline-specific mathematics subjects, and give some insight into the relative importance of mathematical versus biological background for a biology-focused mathematics subject.
