Category Archives: Uncategorized

Transition issues

Mathematical transitions: a report on the mathematical and statistical needs of students undertaking undergraduate studies in various disciplines. Jeremy Hodgen, Mary McAlinden, Anthony Tomei. June 2014.  Further information and detailed results of the project are available at the HEA website.

This report covers issues relating to maths in a range of subjects including Business and Management, Chemistry, Economics, Geography, Sociology and Psychology but there is also some interesting data relating to Biology and many of the themes that have emerged are common to all. A few things caught my eye:

1- In 2013 the proportion of students doing biology degrees who had A level maths was 38%, an increase from 26% in 2006 and 35% in 2009 (sourced from UCAS data). In 2013 a further 12% took AS Maths giving a total of 50% of biology students taking some form of post-GCSE maths. It will be interesting to see what effect the decoupling of AS levels from A levels and the introduction of Core Maths will have on these figures.

2- The report recommends the use of diagnostic testing of incoming students. This worries me because, in my experience, if it’s not done well diagnostic testing can be very destructive of confidence and it can reinforce anxiety levels even if it is followed up with targetted support. Research needs to be done on this before it’s implemented.

3- Expectations of both students and academic staff are important and the report highlights the fact that more needs to be done, possibly through outreach.

At the heart of this recommendation, as indeed of this report, is a desire that pre-university students should have a better understanding of what is expected of them and that higher education should have a better understanding of what their new undergraduates can do.

Given that many academics fear reducing student recruitment if they emphasise the maths too much I’m not sure how this is going to come about in practice.

 

Pooling maths resources in Sydney

It appears there are similar issues in Australia to the ones in the UK. Students are not choosing the best school subjects to prepare themselves well for science, engineering and maths at University. Part of the solution is for academics to get together and share ideas and strategies:

http://sydney.edu.au/news/84.html?newsstoryid=8640

The main reason why students are not choosing maths is attributed to not having enough maths teachers but I wonder what other factors might be considered. Is it a matter of an uninspiring curriculum? Or perhaps poor communication between maths and science teachers so that connections between the subjects are not emphasised? It would be interesting to find out.

On a more inspiring note:

The forum will allow academics from around Australia from at least 15 different universities to share current practice and openly and frankly discuss problems and common issues.

Just what we need in the UK!

 

It’s NOT remedial!

There has been some discussion going around on various blogs/twitter following two recent publications: Michael Gove’s speech at the Royal Society about maths teaching and Stephen Curry’s article in the Times Higher about maths in bioscience degrees.

One particular comment struck a raw nerve with me and referred to “remedial teaching” of maths at university. Yes all of the maths I teach at first and second year university level for biological scientists and medics and vets is essentially GCSE and AS-level maths so let me explain why I don’t consider what I teach to be “remedial”.

The short answer is that I’m teaching the maths in a biological context, something which is clearly not done at school. In doing that I’m reinforcing what they have already learned and helping them to understand it at a deeper level (I hope!) I’m helping them to see its relevance and usefulness, again something that I’m not convinced is done at school.

All of my students will typically have three A’s at A level though not necessarily in A level maths: they are academically talented and pretty motivated in their studies. I find that some students have done maths A level and done pretty well but will quite openly admit that they didn’t really understand it properly.  Others say that they’ve never been “good at maths” and didn’t dare to take it at A level because they’d have a better chance of getting their three A’s in other subjects.

There are some things university teachers take for granted that students have not covered at school. For example units (eg mg, min, ml)  and how to use them in calculations. I guess some people might consider this akin to dimensional analysis. Students don’t typically include units in their calculations until I force them to. If they don’t then they end up with the wrong answer, usually by a factor of 1000 because they have forgotten a prefix or by 60 if they’ve mixed up seconds, minutes and hours.  This isn’t “remedial” because it was never taught in the first place. Like most maths, it’s really obvious once you know it but completely obscure if you don’t.

A consequence of this is that it looks like they’re rubbish at maths, and they feel like they are, but they just need to be pushed into writing out their working and answers in a logical way that includes the units and most, if not all, of the steps. I guess this is also a symptom of rushing to get an answer instead of reflecting on what you’ve done and estimating whether the final answer is likely to be in the right ballpark.

Having worked with a number of dyslexics and dyspraxics now the importance of getting the maths onto the paper in a sensible, logical manner is often a stumbling block. I wonder how many non-dyslexics/dyspraxics this applies to too. For a multi-step problem it is essential to get the working out onto the page to relieve working memory but for many people it is hard to write in the mathematical language. They can often talk it through but not write it down. They clearly understand it but have difficulty communicating it. What I’m not sure about is how well the writing of mathematical working is taught at school. From where I sit it seems patchy, some students can do it ok whilst others don’t know where to begin.

Many mathematicians are so used to the language of maths that they cannot begin to understand how others cannot see what they see. I have seen lecturers in pharmacology present pharmacokinetics or receptor theory as a set of equations and expect students to look at the equation and see what the lecturer sees. If you put an equation on the board, even a simple one, students will typically not see or make sense of it in the way that the lecturer will.

At university we bemoan the difficulty students have with logarithms. However only those who have done AS level maths will have been taught about logarithms so it is wrong to call a course at university that covers logs a “remedial” course is wrong if they haven’t done it in the first place.

The most difficult part of maths within the life sciences is relating the maths to the biology. The number of times as a student myself I’ve been taken through the derivation of an equation and lost the plot is probably unmentionable. I have even fallen into the trap myself of thinking that if I just go through the algebra of deriving an equation (say the Michaelis Menton or the Schild equation) then students will understand the equation itself. It’s what you say as you do the derivation that’s important. It’s how you help them get an intuitive feel for the equation that makes the difference.

So how do you really get an intuitive feel for how an equation is used? My attitude at the moment is to abandon the lecture format and start with students solving problems themselves. My experience is that they really do know the maths but that they need time to absorb and develop the skills to be able to use it. There some nice initiatives going on: eg the TEAL project at MIT see also commentaries on pseudoteaching but as the article about the TEAL project points out, this sort of teaching is really very difficult, it takes time and resource to help the teachers develop the appropriate skills and it will often means that the teacher needs to change their own mindset.

Is there a mathematical skills shortage amongst bioscience graduates?

Take part in the new survey at  https://www.surveymonkey.com/s/KG26RJB

This survey aims to gather opinions and thoughts of UK academic bioscience researchers on the question “is there a mathematical skills shortage amongst bioscience graduates”? This question divides into two main aspects:

(1) to what extent are bioscience graduates equipped with the basic toolkit of mathematical and statistical techniques needed for the least quantitative of the biological sciences?

(2) to what extent do bioscience graduates have sufficient maths to understand and participate in research in systems biology and computational biology working in interdisciplinary teams and communicating effectively with engineers, physicists and mathematicians?

Following on from these questions: if there is a lack of supply of mathematically-skilled bioscientists what training provision exists to correct this?

Background:

The driving force for this survey has been an increasing number of reports and remarks regarding problems in the mathematical skills of bioscience graduates. In the current BBSRC Strategic Plan[1] “BBSRC will …. encourage interdisciplinary research and training…  as bioscience becomes increasingly quantitative there is also an urgent need to raise the mathematical and computational skills of biologists at all levels. “ The Association of the British Pharmaceutical Industry reported[2] in 2008 that lack of mathematical skill was an issue both for basic bioscientists working in predominantly “wet” lab environments as well as lack of bioscientists with sufficient mathematical aptitude and expertise to work well with interdisciplinary groups using systems biology approaches.

This survey:

The results of the survey will be compiled into a report to be prepared for the UK Centre for Bioscience and made available on its website.  There are four short sections and many of the questions are optional. There are spaces for free text responses so that you can qualify or explain your answers. The survey may be completed anonymously though it would be helpful to know your institution to assess the range of types of institution who have responded. It should take about 10 minutes to complete.

Thank you in advance for your assistance and participation.



[2] Skills Needs for Biomedical Research: Creating the Pools of Talent to Win the Innovation, Association of the British Pharmaceutical Industry, http://www.abpi.org.uk/publications/pdfs/2008-10STEMSkillsReviewReportFINALamended2.pdf accessed 8-3-2011.

What do school maths qualifications mean for university study?

“What’s this “ln” button on my calculator mean?”

The stories you hear from colleagues bemoaning the mathematical literacy, or lack of, amongst undergraduates. And graduate students too, actually.

This begs the question which I will try to answer with this post:

“What can students with a particular grade at GCSE Maths actually be expected to be able to do and does this have an impact on studying bioscience at University?”

First a little background. All students in state schools in England (Wales, Scotland and Northern Ireland have different systems) will follow the National Curriculum and GCSE Maths assesses students at the end of their compulsory education (age 16).

GCSE Maths can either be studied at Foundation Tier (which allows grades to be awarded between C through to G)  and Higher Tier (which allows grades to be awarded between A* through to C). If a student has studied Foundation Tier they will not have covered as much maths as those who’ve studied Higher Tier.

The report “Understanding the UK Mathematics Curriculum Pre-Higher Education” by Stephen Lee, Richard Browne, Stella Dudzic and Charlie Stripp of the MEI (launched by the Engineering Subject Centre and available on their website as well as at http://www.bioscience.heacademy.ac.uk/ftp/resources/pre-university-maths-guide.pdf ) has a rather sobering list of the knowledge and skills which are NOT covered by Foundation Tier students.

  • negative and fractional powers,
  • scientific notation,
  • solution of linear simultaneous equations,
  • reverse percentage calculations
  • plotting graphs of exponential functions
  • working with quantities which vary in direct or inverse proportion
  •  trigonometry,
  • cumulative frequency diagrams and histograms,
  • probability calculations

This list drew a sharp intake of breath and a communal sigh at the meeting “Mathematical Challenges for Biologists” organised by the Centre for Bioscience, The Higher Education Academy and held at the University of Reading Nov 2010. Many of the participants, mainly those teaching maths at first year university bioscience courses, recognised this description and had their suspicions confirmed.

It’s also worth noting, as Lee et al point out, that students with a B or C at GCSE Maths who have studied the Higher Tier will have an incomplete understanding of many of these topics.

What this means in effect is that someone with a B at GCSE maths may have limited ability to manipulate numbers commonly used in biology such as measurements made in microscopy in micrometres or concentrations in nanograms per litre. They are also unlikely to be able to recognise an equation for a straight line and may not be able to rearrange it. If they begin study of statistics at University level, they are unlikely to have a grasp of the basics of probability. This is fundamental stuff.

Logarithms and exponential decay are just not covered at all at GCSE level and this has important implications for the study of biochemistry, pharmacology and physiology where logarithmic scales are commonly used.

Another aspect worth noting is that much of the assessment of this knowledge is fairly formulaic with questions being relatively short and staged, leading the student almost by the hand. Changes to GCSE’s in Mathematics coming up in 2012 may help with this as there will be more emphasis on problem solving and hopefully some more challenging, longer questions.

So what does this mean for students studying bioscience at University? It means that either Universities require  AS Maths for entry to Bioscience degrees OR for students with GCSE Maths there must be some provision for learning these essential tools and concepts. They must know about logarithms and be able to use them. They must be able to recognise equations for straight lines, hyperbolae, exponential growth and decay and they must be able to rearrange these equations to get out the information they’re looking for.  They must be able to manipulate very small numbers in scientific notation and calculate concentrations and dilutions. Without this level of mathematical skill, I believe, students should not graduate as scientists.

Why is it important? Why do mathematics education within life sciences courses?

The developments in technology to increase the throughput of experiments in the biosciences has led to an explosion in data generation and a pressing need to find ways to make sense of that data. The advent of “Systems Biology” and “Computational Biology” has shone a spotlight on mathematical approaches and revealed some weakening cracks in the ability of biologists to understand the mathematics and the ability of those with mathematical skill and insight to communicate their ideas and results.

 The importance of mathematical approaches is expressed very elegantly in Joel Cohen’s essay title:

 Mathematics Is Biology’s Next Microscope, Only Better; Biology Is Mathematics’ Next Physics, Only Better.

 Joel E. Cohen, PLoS Biol. 2004 December; 2(12): e439

 The analogy is very powerful as Cohen comments:

 The discovery of the microscope in the late 17th century caused a revolution in  biology by revealing otherwise invisible and previously unsuspected worlds.

 And it is backed up with an array of fascinating examples where mathematics has had an impact upon biology from William Harvey’s analysis of blood circulation in 1628, through the Logistic equation for limited population growth (Verhulst in 1838), Pearson’s correlation coefficient, Markov’s chains, Fisher’s ANOVA, to the effect of dogs on the transmission of Chagas’ disease in Argentina (2001).

 Cohen’s argument is that those with some experience of, and insight into, mathematics can see things differently and with greater clarity.

 Charles Darwin was right when he wrote that people with an understanding “of the great leading principles of mathematics… seem to have an extra sense” (F. Darwin 1905).

 It is these principles of mathematics, rather than just the algebra-crunching and number-crunching that matter. It is like putting on a special pair of glasses to watch a 3D movie:

Those who understand the calculus, ordinary and partial differential equations, and probability theory have a way of seeing and understanding the world, including the biological world, that is unavailable to those who do not.

 This is a compelling argument for ensuring that all biological sciences students undertake some study of mathematics (not only statistics) within a biological context. The main advances in mathematics education within bioscience degree programmes, in the UK at least, has been the realisation of the importance of context. The mathematics needs to be presented within the biological context and assessed to sufficient depth. Relying upon school mathematics, even to A level standard, is usually not enough, but more of that another time.

 Cohen’s argument rests the responsibility of understanding the mathematical approaches largely upon the biologist and bioscience education and this is where I beg to differ. How many times have I attended a mathematical biology seminar (as a biologist not a mathematician) and found people speaking in another language. It seems once a mathematician learns the mathematical language they forget how to speak in English. I suggest that we need to spend considerable effort thinking about how to communicate the output of mathematical biology / systems biology / computational biology. Perhaps we need to work from both ends of the spectrum.

What’s this about?

I’ve started this blog to keep track of things I’ve been working on in relation to teaching mathematics within biological sciences in Higher Education. I wanted to pull together articles, information and comments on some of the following points:

1- It seems like everyone is saying there is a decline in the mathematical skills of new undergraduates. What is the evidence for this?

2- Does it really matter if biological sciences graduates can’t do much maths? What do employers think?

3- What is being done at University level to try to address this issue?

4- Does it really matter for the graduates going into biological sciences research?

5- How can we improve biomaths education in HE?

6 – Can we get mathematicians to speak in english rather than mathglish?