senior team mathematics challenge - jurassic maths · what do you notice? nudge towards: •...
TRANSCRIPT
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Curriculum
update
A level Mathematics and
Further Mathematics
from September 2017
All A levels will be linear from September 2017
AS can be co-taught with A level, but will have a separate
exam which will not count towards the A level
Content is 100% specified for Mathematics and 50%
specified for Further Mathematics
Mathematics will now contain compulsory Mechanics and
Statistics
General points Specifications must encourage students to:
• reason logically and recognise incorrect reasoning
• generalise mathematically
• construct mathematical proofs…
• decide on the solution strategy
• …solve a problem in context
• …understand the relationship between problems in context
and mathematical models…to solve them
• read and comprehend mathematical arguments…
• read and comprehend mathematical articles…
• use technology such as calculators and computers
effectively…
Content – General (Maths and FM)
Calculators used must include the following features:
an iterative function
the ability to compute summary statistics and access
probabilities from standard statistical distributions
the ability to perform calculations with matrices up to at
least order 3 x 3 (FM only)
“The use of technology, in particular mathematical and
statistical graphing tools and spreadsheets, must
permeate the study of AS and A level mathematics”
Use of technology 50% content specified, all pure
Awarding organisations can decide on
the other 50% so there are significant
differences
All are producing a specification that can
run alongside Mathematics
This is designed to be a separate,
valuable qualification
It can be co-taught with the full A level in
Further Mathematics
20% of AS FM is specified
A level Further Mathematics
AS level Further Mathematics
Awarding bodies
choose,
may be
pure or
applied
Prescribed content, all
pure.
Awarding body
optional
prescribed
content
A level FM AS FM
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FMSP are offering:
A free one-day course ‘Planning for the new A level’
A programme of low-cost one-day courses looking at the
content of the new AS and A Level Maths and at the new
AS and A Level Further Maths.
LOPD courses in all aspects of the new courses
(including using technology)
Talk to your Area Coordinator about what the FMSP can
provide for you.
Professional development An example from the new specification
Binomial Interlude
Distinct arrangements
In your groups take your two colours of cubes and make
all the possible linear arrangements of 2, 3, 4 or 5 cubes
Choose one colour: sort your arrangements in order of
decreasing numbers of that colour
If you finish quickly, you can try to find all the
arrangements for another number of cubes
Linking to the binomial expansion This combination:
represents one of the possible
combinations where 2 of the cubes
are red and 2 are white.
Compare this with the expansion of
(a+b)4
(a+b) (a+b) (a+b) (a+b)
Selecting a from 2 brackets and b
from 2 brackets gives us the term in
a2b2.
How many ways are there of doing
this…?
Consider the 4-cube
combinations.
Before we make our selections,
the cube line could be considered
to look like this:
Each cube is ‘red-or-white’.
Compare this with the expansion
of (a+b)4
(a+b) (a+b) (a+b) (a+b)
Each term in the expansion
contains a different combination
of a and b.
Linking to the binomial expansion
(𝑎 + 𝑏)0 = 1
(𝑎 + 𝑏)1 = 1𝑎 + 1𝑏
(𝑎 + 𝑏)2 = 1𝑎2 + 2𝑎𝑏 + 1𝑎2
(𝑎 + 𝑏)3 = 1𝑎3 + 3𝑎2𝑏 + 3𝑎𝑏2 + 1𝑏3
(𝑎 + 𝑏)4 = 1𝑎4 + 4𝑎3𝑏 + 𝟔𝒂𝟐𝒃𝟐 + 4𝑎𝑏3 + 1𝑏4
(𝑎 + 𝑏)5 = 1𝑎5 + 5𝑎4𝑏 + 10𝑎3𝑏2 + 10𝑎2𝑏3 + 5𝑎𝑏4 + 1𝑏5
#6Concepts
Introducing
the project
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Background
• Huge increase in numbers of students
taking Maths post-16
• Class size increase
• Widening range of ability
• Hub project looking at raising Post-16
participation has gained limited traction
Contributing factors - students
Students are not always open about struggling, being stuck etc.
Students not ready to work hard, not expecting larger amount of
practice work.
Students used to spiral curriculum.
Not all students have a sound understanding of fundamentals from
GCSE.
Presentation of extended responses is often poor.
Students may be becoming more independently responsible for their
own work, resulting in parents being more ‘hands off’ when we need
them to be particularly engaged.
Many students take Maths at A level because they need it for their
chosen career, not because they enjoy it!
Contributing factors - school
Setting from KS3&4 replaced with mixed ability
Large AS sets make assessment for learning, marking
etc difficult and lengthy.
Students from lower sets may not have been taught
material in a way which supports progression to A level;
more concentrating on GCSE results.
Teachers’ varying approaches to key topics at KS4
results in inconsistent experience of fundament
Trigger case 1
Basic Differentiation:
𝑦 =1
5 𝑥3=1
5𝑥−3
2
𝑑𝑦
𝑑𝑥=−3
2×1
5𝑥−5
2
Trigger case 2
Solving pairs of non-linear simultaneous equations:
Requires use of rearrangement, algebraic fractions,
factorising, substitution, zero products, method selection,
multi-stage working, multiple solutions etc…
4𝑥 + 3𝑦 = 8
𝟑𝒚 = 𝟒𝒙 − 𝟖
…because ‘change the side, change the sign’.
BIG Expectations! We EXPECT:
Y12 students to work in a large mixed ability set
All students who take A level Maths, want to do A level Maths
Students to be independent but that parents will still support and
guide them
Much more homework
Sound and consistent understanding of topics which previously
required repeated revision
Students to know which topics from GCSE will be assumed
knowledge for AS Maths
Students are able to identify their areas of misunderstanding so that
they can be tackled
Students to realise that there is not enough time in Year 12 to keep
reviewing topics over and over as they have in the past.
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Some strategies:
Use GCSE Suitability assessments to help students
make sensible decisions about AS Maths.
Extension courses to bridge the perceived gap between
GCSE and A Level (e.g. AQA L2 FM).
Summer tasks for Y11 students who plan to take A level.
Assessment close to the start of Y12; followed up with
support sessions where students can (must?) come
along and address problem areas.
Keep parents fully informed about issues arising.
… these are all administrative measures.
Departmental development – the plan:
In discussion between all AS Maths teachers, select
our big ‘6 Concepts’.
Plan together for the teaching of these topics
throughout KS3&4, all sets, to ensure consistency.
Produce/gather/collate shared materials for teaching
these topics.
Plan assessment which assures students’ confidence
in these methods.
Departmental development – the approach:
For each concept, we need to strive for consistency in:
Vocabulary – teachers and students
Layout of work – model it and expect it
Methods taught – if there are multiple approaches,
select one for all to use
Assessment and feedback
Understanding of why this concept is important –
clearly explain that is a foundation for other topics
Departmental development – the outcome?
We hope:
The result would be that students starting AS Maths
courses would all have been taught these crucial
foundational topics in the same way.
This will mean that teachers taking a Y12 class will
know exactly what the experience of their students has
been to date and will be able to build on it efficiently in
the first crucial months of the course.
Discussion: What would you choose for your 6Concepts?
Think about teaching AS Maths – where are the weak points?
What do you need to revise before you can move on?
Developing one of the 6Concepts:
Vocabulary – teachers and students
Layout of work – model it and expect it
Methods taught – if there are multiple approaches, select
one for all to use
Good resources to share
Assessment and feedback
Understanding of why this concept is important – clearly
explain that is a foundation for other topics
A level sample
lesson
MaxBox!
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The task:
A piece of paper which measures 18cm28cm
A square is cut from each corner and the edges folded up to form an
open tray as shown in the picture:
What’s the maximum possible volume of the box?
Ideas to start: Questions:
• Why does the cut-out have to be square?
• What are the extremes?
• Can we get some sample values?
• How can we record that?
• Can we predict anything about the next result?
• How do we make greater improvements?
More depth:
Nudge towards:
• Using a single variable (maybe x?
maybe something else?)
• Spreadsheet to gather data
• Graphing – plot results and extend
• How do we optimise the volume?
• Can you find a formula for the volume?
Generalising:
Generalising:
• What happens near the maximum?
(nudge towards changing gradient)
Steep here
What happens at the top? Shallower here
Two paths:
GCSE:
Think about tangents
to graph, consider
where gradient is
horizontal.
Extending to A level:
Think about tangents to graph,
consider where gradient was
horizontal. We can estimate this
from the graph but how can we do
this accurately?
A level path:
The graph of 𝑦 = 2 − 𝑥2 is on the work sheet.
Draw a series of tangents to the curve.
Measure the gradient g of the tangent at (x, y) and then plot
the point (x, g) on the same axes.
What do you notice? Nudge towards:
• straight line
• 𝑦 = −2𝑥
• crosses x-axis at (0, 0)
Thinkers:
𝑦 = 4 − 𝑥2?
𝑦 = 4 − 2𝑥2?
A level path:
The graph of 𝑦 = 3𝑥 − 𝑥3 is on the work sheet.
Draw a series of tangents to the curve.
Measure the gradient g of the tangent at (x, y) and then plot
the point (x, g) on the same axes.
What do you notice? Nudge towards:
• parabola
• 𝑦 = 3 − 3𝑥2
• crosses x-axis at (1, 0)
and (-1, 0)
Thinkers:
𝑦 = 5 + 3𝑥 − 𝑥3 ?
𝑦 = 2 3𝑥 − 𝑥3 ?
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A level path:
Can you predict what will happen with the OpenBox graph?
𝑦 = 𝑥 28 − 2𝑥 18 − 2𝑥
= 4𝑥(14 − 𝑥)(9 − 𝑥)
= 4𝑥(126 − 23𝑥 + 𝑥2)
= 504𝑥 − 176𝑥2 + 4𝑥3
Extension:
An open cylindrical water tank
has surface area 6m2. What is
the optimal radius of the tank
to give the greatest volume?
Using
technology in
the classroom to
support
transition from
KS4 to KS5
Planning a
Linear Scheme
of Work:
Tracking Bivariate
Data from GCSE to A
level
drawing a scatter diagram
independent and dependent variables,
explanatory and response variables
non-linear relationships in bivariate
data
using a line of best fit to estimate
results
using a regression equation to estimate
results
hypothesis testing
interpolation and extrapolation
Think about these ideas: Pearson/PMCC
Rank correlation
drawing a line of best fit by
eye
significance levels
sample size
calculating the equation of a
line of regression
sampling methods
correlation causation
Requirements from DfE document
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Requirements from DfE document Requirements from DfE document
All bold
AS level
Requirements from DfE document
All bold
AS level
Requirements from DfE document
All bold
AS level
Requirements from DfE document
Non-bold
text A
level only
Scatter diagrams
Mayfield High Age and Height
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Hypothesis testing The ideal hypothesis test (from MEI Statistics 1 textbook):
1. Establish the null and alternative hypothesis.
2. Decide on the significance level [and whether test is
one- or two-tailed].
3. Collect suitable data using a random sampling
procedure that ensures the items are independent.
4. Conduct the test, doing the necessary calculations.
5. Interpret the result in terms of the original claim,
theory or problem.
Hypotheses and significance Null hypothesis, H0: nothing interesting here. This result
could be obtained randomly.
Alternative hypothesis, H1: the result is interesting,
unlikely* to have been attained accidentally.
Level of significance: how unlikely do you want the result
to be in order to consider it interesting?
Hypothesis testing for correlation
“We think there will be correlation”= 2-tailed test
“We think there will be a positive correlation”= 1-tailed test
“We think there will be a negative correlation”= 1-tailed test
The critical value is determined based on sample size
and significance level.
Hypothesis testing for correlation
We’ll look at the boys’ data only.
We suspect that the boys’ heights increase with age i.e.
that there is a positive correlation between the two
variables.
This is a 1-tailed test; we’ll use a significance level of 5%
and a sample size of 60.
H0: there is no correlation between age and height; r=0.
H1: there is positive correlation between age and height; r>0.
Hypothesis testing for correlation
We suspect there is a positive correlation between age
and height.
1-tailed test; significance level of 5%; sample size 60.
H0: there is no correlation between age and height; r=0.
H1: there is positive correlation between age and height; r>0.
Critical value = 0.2144
Only 5% of randomly generate results would exceed this
value.
Hypothesis testing for correlation
H0: there is no correlation between age and height; r=0.
H1: there is positive correlation between age and height; r>0.
Critical value = 0.2144 (would be given in the question)
PMCC = 0.4038 (calculated by spreadsheet)
The calculated statistic is above the critical value. This
suggests that there is positive correlation between height
and age at the 5% level of significance.
Mayfield High Age and Height
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Planning a
Linear Scheme
of Work:
Tracking Kinematics
from GCSE to A level
Kinematics and motion graphs
Gradient/tangent questions
Constant acceleration (suvat) formulae
Deriving the suvat formulae
Applications of calculus to displacement, velocity,
acceleration
Extended to 2D and 3D with use of vectors
Gravity, friction, resistance forces, projectile motion
Think about these ideas:
Graphs of motion
More realistic Graphs
Interpreting kinematics graphs Understand, use and interpret graphs in kinematics for
motion in a straight line:
– displacement against time and interpretation of
gradient;
– velocity against time and interpretation of gradient
and
– area under the graph
Mathematics AS and A level content
Department for Education, December 2014
(m/s)
u
v
t
v - u
The suvat equations:
𝑣 = 𝑢 + 𝑎𝑡
𝑠 = 𝑢𝑡 +1
2𝑎𝑡2
𝑣2 = 𝑢2 + 2𝑎𝑠
𝑠 =1
2(𝑢 + 𝑣)𝑡
𝑠 = 𝑣𝑡 −1
2𝑎𝑡2
What if the acceleration is not
constant?
We can still use gradient
and area …
time (s)
velocity (m/s)
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Kinematics at A level with calculus (where acceleration can be variable)
Displacement (or position vector)
Velocity
Acceleration
Differentiate
w.r.t. time
Integrate
w.r.t. time (use constant or
definite
integration)
r (position vector)
v (velocity vector)
a (acceleration)
Differentiate
w.r.t. time
Integrate
w.r.t. time (use constant or
definite
integration)
xr
y
dxdt
dy
dt
v
2
2
2
2
d x
dt
d y
dt
a
jyixr
The vector can
be written using
i, j notation
z
y
x
r
A third
component is
needed to
work in three
dimensions
Using vectors
Projectile motion Kinematics in GCSE
Gradient/tangent questions in GCSE and M1
Constant acceleration formulae in GCSE Physics
Deriving suvat in AS Mathematics (M1)
Applications of calculus to displacement, velocity,
acceleration in A level Mathematics (M2)
Extended to 2D with use of vectors at A level (M2)
Projectiles (M1 or M2)
Where are these topics taught?
In future, the integrated nature of the course and the linear
structure of the exam will mean that kinematics topics will
be in:
GCSE Mathematics
A Level Mathematics
Schemes of work can adopt a thematic rather than modular
approach and examiners will be able to set synoptic
questions which test both pure and applied mathematics.
Where will these topics be taught? The Further Mathematics
Support Programme Our aim is to increase the uptake of
AS and A level Further Mathematics
to ensure that more students reach
their potential in mathematics.
To find out more please visit
www.furthermaths.org.uk
The FMSP works closely with
school/college maths departments to
provide professional development
opportunities for teachers and maths
promotion events for students.