Improving Mathematical Confidence in Biosciences Through Contextualised Support: A Two-Year Initiative

Authors

  • Anum Khalid Queen Mary University of London

DOI:

https://doi.org/10.21100/msor.v24i3.1688

Keywords:

education pedagogy maths support, contexualised support, mathematics confidence

Abstract

Many undergraduate biosciences students enter university with limited mathematical preparation, often having last studied mathematics at GCSE level and perceiving it as irrelevant to their discipline. This case study describes a two-year teaching initiative at Queen Mary University of London designed to improve mathematical confidence and competence among biochemistry, biology, zoology, and medical genetics students. Following diagnostic testing and collaboration with laboratory instructors, contextualised mathematics workshops were developed and aligned with laboratory experiments covering unit conversions, molarity, dilutions, and data interpretation. The programme evolved from bi-weekly sessions in Year 1 to weekly, lab-aligned workshops with scaffolded resources in Year 2. Results demonstrated improvements in diagnostic test performance and suggested improved confidence among workshop attendees, though attendance patterns revealed challenges with student engagement during assessment-heavy periods. The findings highlight both the benefits and challenges of voluntary contextualised mathematics support within biosciences education.

References

Ashcraft, M.H. and Kirk, E.P., 2001. The relationships among working memory, math anxiety and performance. Journal of Experimental Psychology: General, 130(2), pp.224-237.

Beswick, K., 2011. Putting context in context: An examination of the evidence for the benefits of contextualised tasks. International Journal of Science and Mathematics Education, 9, pp.367-390.

Bowyer, J. and Darlington, E., 2018. Mathematical struggles and ensuring success: post-compulsory mathematics as preparation for undergraduate bioscience. Journal of Biological Education, 52(1), pp.54-65.

Cai, J. and Hwang, S., 2019. Learning to teach through mathematical problem posing: Theoretical considerations, methodology, and directions for future research. International Journal of Educational Research, 102, 101391.

Croft, A.C., Harrison, M.C. and Robinson, C.L., 2009. Recruitment and retention of students – an integrated and holistic vision of mathematics support. International Journal of Mathematical Education in Science and Technology, 40(1), pp.109-125.

Durán, P.A. and Marshall, J.A., 2019. Mathematics for biological sciences undergraduates: a needs assessment. International Journal of Mathematical Education in Science and Technology, 50(6), pp.807-824.

Hester, S., Buxner, S., Elfring, L. and Nagy, L., 2014. Integrating quantitative thinking into an introductory biology course improves students' mathematical reasoning in biological contexts. CBE—Life Sciences Education, 13, pp.54-64.

Hillman, J., 2014. Mathematics After 16: The State of Play, Challenges & Ways Ahead. London: Nuffield Foundation.

Jackson, D.C. and Johnson, E.D., 2013. A hybrid model of mathematics support for science students emphasising basic skills and discipline relevance. International Journal of Mathematical Education in Science and Technology, 44(6), pp.846-864.

Jurdak, M.E., 2006. Contrasting perspectives and performance of high school students on problem solving in real world situated, and school contexts. Educational Studies in Mathematics, 63, pp.283-301.

Koenig, J., 2011. A Survey of the Mathematics Landscape Within Bioscience Undergraduate & Postgraduate UK Higher Education. Leeds: UK Centre for Bioscience, Higher Education Academy.

Lawson, D., Grove, M. and Croft, T., 2019. The Evolution of Mathematics Support: A Literature Review. International Journal of Mathematical Education in Science and Technology, 50(5), pp.1-31.

Li, X., Song, N., Hwang, S. and Cai, J., 2020. Learning to teach mathematics through problem posing: teachers' beliefs and performance on problem posing. Educational Studies in Mathematics, 105, pp.325-347.

Loch, B., Fitzmaurice, O. and Croft, A.C., 2012. Complementing mathematics support with online MathsCasts. ANZIAM Journal Electronic Supplement (EMAC 2011), 53, pp.C561-C575.

London Mathematical Society, Institute of Mathematics and Its Applications, and the Royal Statistical Society, 1995. Tackling the Mathematics Problem. London: LMS.

MacGillivray, H. and Croft, T., 2011. Understanding evaluation of learning support in mathematics and statistics. International Journal of Mathematical Education in Science and Technology, 42(2), pp.189-212.

Marshall, J.A. and Durán, P., 2018. Are biologists getting the mathematical training they need in college? Biochemistry and Molecular Biology Education, 46(6), pp.612-618.

National Audit Office, 2007. Staying the Course: The Retention of Students in Higher Education. Available at: https://www.nao.org.uk/reports/staying-the-course-the-retention-of-students-in-higher-education/ [Accessed 8 January 2024].

Park, E.J. and Choi, K., 2013. Analysis of Student Understanding of Science Concepts Including Mathematical Representations: pH Values and the Relative Differences of pH Values. International Journal of Science and Mathematics Education, 11(3), pp.683-706.

Patel, C. and Little, J., 2006. Measuring maths study support. Teaching Mathematics and Its Applications: International Journal of the IMA, 25(3), pp.131-138.

Quality Assurance Agency for Higher Education, 2023. Subject Benchmark Statement: Biosciences. Gloucester: QAA.

Smith, A., 2004. Making Mathematics Count. London: The Stationery Office. Available at: http://www.mathsinquiry.org.uk/report/MathsInquiryFinalReport.pdf [Accessed 8 January 2024].

Tariq, V.N., 2008. Defining the problem: mathematical errors and misconceptions exhibited by first-year bioscience undergraduates. International Journal of Mathematical Education in Science and Technology, 39(7), pp.889-904.

Tariq, V.N. and Jackson, V., 2008. Biomathtutor: evaluation of a new multimedia e-learning resource to support mathematics in the biosciences. International Journal of Mathematical Education in Science and Technology, 39(8), pp.1003-1021.

Wachsmuth, L.P., Runyon, C.R., Drake, J.M. and Dolan, E.L., 2017. Do Biology Students Really Hate Math? Empirical Insights into Undergraduate Life Science Majors' Emotions about Mathematics. CBE-Life Sciences Education, 16(3), ar49.

Watters, D.J., Johnston, P.R., Brown, C.L. and Loughlin, W.A., 2022. Undergraduate biochemistry student difficulties with topics requiring mathematical skills: use of an online maths skills support site. Journal of Biological Education, 56(2), pp.130-146.

Yusof, Y.b.M. and Tall, D., 1998. Changing Attitudes to University Mathematics Through Problem Solving. Educational Studies in Mathematics, 37, pp.67-82.

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Published

2026-10-26

How to Cite

Khalid, A. (2026). Improving Mathematical Confidence in Biosciences Through Contextualised Support: A Two-Year Initiative. MSOR Connections, 24(3). https://doi.org/10.21100/msor.v24i3.1688