Maths for Biology

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Maths for Biology January 9 th 2016 ASE Carys Hughes Christian Bokhove Hilary Otter Rebecca D’Silva Nicky Miller

Transcript of Maths for Biology

Maths for Biology

January 9th 2016 ASE

Carys HughesChristian Bokhove

Hilary OtterRebecca D’Silva

Nicky Miller

Introductions

• Carys Hughes• Christian Bokhove• Hilary Otter• Rebecca D’Silva• Nicky Miller

This study

• Design a CPD course on Maths for A level Biology

• Involve teachers in its design• Implement the day• Evaluate impact of the two groups of

teachers.

Why this day

• Changes in the A level Biology curriculum• More maths• Maths used interdisciplinary• Principles– Instruction but also hands-on tasks– Collaborative, doing it together, ask questions– Want to customise the course to where you

need support

Part I: designing the day (process)• Communities of Interest and Boundary Objects• Involve three Biology teachers, and two researchers, one Maths,

one Biology• Two development sessions of 2 hours• All the teachers’ contributions will be recorded through notes

and audio.• After delivery of the day teachers interviewed in a group

interview/focus group.

Research questions:• In what way can these teachers contribute to the design of the

delivered session?• What impact does the involvement in the design process have

on their own professional development.

Part 2: delivery of the CPD day (product)• 20-30 teachers• Whole day, free• Focus on exponentials/logarithms and statistics

(came from the design part with teachers)• Data collection: maths confidence, evaluation,

impact

Research question:• What impact does a CPD day on maths for the new

Biology A-level curriculum have on participant’s maths confidence and teaching practice?

• Update and strengthen knowledge on some topics for the new Biology A level curriculum;– Exponential growth and decay, logarithms– Statistical tests

• Hear and discuss ideas for teaching them;• Want to hear your opinions for

improvements;• You leave with:– Ideas, knowledge and some resources

Example of data collectionFocus group questions• What, in your view, did you manage to contribute to the design of

the CPD session?• What impact, in your opinion, did the involvement in the design

process have on their own professional development. – Did have an impact on your confidence in teaching Biology?– And the maths component in particular? (engagement,

confidence, liking, valuing)• What impact, in your opinion, did the participation in the whole

project (including the actual CPD day) have on their own professional development.– Did have an impact on your confidence in teaching Biology?– And the maths component in particular? (engagement,

confidence, liking, valuing)• Did you feel the whole process has had an impact on students?

– Engagement with maths? Confidence in maths? Liking maths? – Valuing maths?

Example of data collectionmodified Fennema-Sherman Attitude Scales

Tentative findings: process

• Usefulness of the Community of Interest• Knowledge acquisition• Improved confidence in teaching the

maths in A level biology• Better understanding of the processes

involved in the calculations

Tentative findings: product/day• Valued content exponentials/logarithms• More confident statistics but worthwhile to

compare and discuss pedagogy• On confidence:– They think they can learn maths– They think it's important and worthwhile– They need maths for their work– But it's hard!– So need support.

Challenges

• Getting teachers away from school for CPD– Design phase twilight– Day was free– After A-level exams

• Data collection• Culture clash– Research v Practice– Maths v Science

Taster from the CPD day

Powers and exponential

Slide exam curriculum

From (i) A.0 - arithmetic and numerical computation

A.0.5 Use calculators to find and use power, exponential and logarithmic functions Candidates may be tested on their ability to: estimate the number of bacteria grown over a certain length of time

From (ii) A.2 – algebra A.2.5 Use logarithms in relation to quantities that range over several orders of magnitude Candidates may be tested on their ability to: use a logarithmic scale in the context of microbiology, e.g. growth rate of a microorganism such as yeast

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ACTIVITY

Exponentials

Take an A4 sheet of paper.

How many times can you fold it in half?

MYTHBUSTERS

Movie on youtube

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How many layers do you produce? HANDOUT

Number of folds

(x)

Number of layers

(y)

Mult Power Height

(cm)0 1 0.011 2 22 2*23 2*2*24 2*2*2*2 24

5

Table of results

H

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Plot your values on graph paper:

- 3 - 2 - 1 1 2 3 4 5 6 7 8

- 100

100

200

300

x

y

- 3 - 2 - 1 1 2 3 4 5 6 7 8

- 100

100

200

300

x

y

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Exponential growth

Imagine you contracted a virus (such as SARS) where you infected the first five people that you met, and they each infected the first five people that they met and so on…. There are 186,701 people living in Southampton. How many interactions would it take until everyone was infected?

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How many infections?

Number of interactions (x)

Number of infected people (y)

0 11 52 25345

Table of results

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General form:

y=bt

where b is the base and x is the power (or exponent)

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The exponential graph

- 2 2 4 6 8

- 200

200

400

x

y

ACTIVITY: Use Desmos or Geogebra online to graph

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How many layers do you produce?

Number of folds

(x)

Number of layers

(y)

Height

(cm)0 1 0.011 2 22 2*23 2*2*24 2*2*2*2 24

5

Table of results

y=2x

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Common features of y=bx

all curves pass through (0,1)exponential growth (and decay) takes place very rapidlyb > 0b 0b 1b > 1 has a positive gradient (PLOT THIS!)0 < b < 1 has a negative gradient (PLOT THIS!)

https://www.desmos.com/calculator/auubsaje fh

Number of interactions (x)

Number of people with the disease (y)

0 11 52 253 1254 6255 3,1256 15,6257 78,1258 390,625

Statistics

Slide exam curriculumFrom (i) A.1 - handling data A.1.9 Select and use a statistical test Candidates may be tested on their ability to select and use: • the Chi squared test to test the significance of the

difference between observed and expected results • the Students t-test • the correlation coefficient A.1.11 Identify uncertainties in measurements and use simple techniques to determine uncertainty when data are combined Candidates may be tested on their ability to: • calculate percentage error where there are uncertainties

in measurement

Statistical tests

• Type of data collected– Measurements– Frequencies

• What are you looking for?– Associations– Differences

(Source: TES site)

(Source: TES site)

Conclusion

• CPD day designed by Community of Interest for Biology teachers

• Improvement maths confidence• Now writing up the study• Questions?• Thank you for your

attention.

http://is.gd/maths4bio