Typically, mathematics is regarded as a useful tool by biologists, and all undergraduate biologists will need to attend some sort of mathematics course in order to access and make the most of their science. However, study of this mathematics out of context tends to reduce mathematical activity to a series of clean, dry routines and procedures. Many students struggle with applying this quantitative knowledge in the complicated biological contexts they encounter.

For example, we have

Mathematics | Biological context |
---|---|

Ratios | Mixing solutions with certain molarities, making dilutions |

Areas of shapes | Analysis of cell cultures |

Algebra and graphs | Appropriate plots of real data to draw real conclusions for biological processes |

Calculus of functions | Predicting and measuring rates of reaction in measurable experiments |

Units of measurements | Making sense of real, complicated measurements |

Volumes of regular solids | Measuring the volumes of real, irregular objects |

Logarithms | Understanding pH |

Statistics | Drawing general conclusions from trials |

Suppose that a biologist achieved a good grade in GCSE mathematics or AS mathematics. Why would such students struggle with the mathematical aspects of biology? There are several possible reasons:

**Procedural thinking**- Mathematics exams can often be passed by learning the content
*procedurally.*This means that students can answer certain types of question by following a recipe. The problems in biology arise because even minor deviations from the precise recipe cause the student to fail to know what to do.

- Mathematics exams can often be passed by learning the content
**Inability to translate mathematical meaning to biological meaning**-
- Students who are very skilled at mathematics might have trouble seeing how to relate the mathematical process to a real-world context; this hampers the use of common sense, so valuable in quantitative science.

**Inability to make estimates or approximations**-
- Biological contexts are rarely simple. In order to apply mathematics predictively, approximations will need to be made. To make approximations requires the student to really understand the meaning and structure of the mathematics.

**Poor problem solving skills**-
- Biological mathematics problems are not usually clearly 'signposted' from a mathematical point of view. The biologist must assess the situation, decide how to represent it mathematically, decide what needs to be solved and then solve the problem. Students who are not well versed in solving 'multi-step' problems in mathematics are very likely to struggle with the application of their mathematical knowledge.

**Lack of practice**-
- There are two ways in which lack of practice can impact
mathematical activity in the sciences.
- First is a lack of skill at basic numerical manipulation. This leads to errors and hold-ups regardless of whether the student understands what they are trying to do.
- Second is a lack of practice at thinking mathematically in a biological context.

- There are two ways in which lack of practice can impact
mathematical activity in the sciences.
**Lack of confidence**-
- Lack of confidence builds with uncertainty and failure, leading to more problems. Students who freeze at the sight of numbers or equations will most certainly under perform.

**Lack of mathematical interest**- Students are hopefully strongly driven by their interest in science. If mathematics is studied in an environment independent of this then mathematics often never finds meaning and remains abstract, dull and difficult.