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Assessing pupils’ progress in science at Key Stage 3: Assessment guidelines
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Assessing pupils’ progress in science at Key Stage 3: Assessment guidelines
Assessing pupils’ progress in science at Key Stage 3: Assessment guidelines
First published in 2009 Ref: 00067-2009BKT-EN
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SON
CO
LOU
R PR
INT
LTD
01-
2009
1The National Strategies | Secondary Assessing pupils’ progress in science at Key Stage 3: assessment guidelines
© Crown copyright 2009 00067-2009BKT-EN
APP
sci
ence
ass
essm
ent g
uide
lines
: lev
els 7
and
8N
ame…
……
……
……
......
......
......
......
......
......
......
......
AF1
– T
hink
ing
scie
ntif
ical
lyA
F2 –
Und
erst
andi
ng th
e ap
plic
atio
ns
and
impl
icat
ions
of s
cien
ceA
F3 –
Com
mun
icat
ing
and
colla
bora
ting
in
sci
ence
AF4
– U
sing
inve
stig
ativ
e ap
proa
ches
AF5
– W
orki
ng c
riti
cally
wit
h ev
iden
ce
Leve
l 8A
cros
s a ra
nge
of c
onte
xts a
nd p
ract
ical
si
tuat
ions
pup
ils:
Des
crib
e or
exp
lain
pro
cess
es o
r •
phen
omen
a, lo
gica
lly a
nd in
det
ail,
mak
ing
use
of a
bstr
act i
deas
and
m
odel
s fro
m d
iffer
ent a
reas
of s
cien
ceSe
lect
and
just
ify a
n ap
prop
riate
•
appr
oach
to e
valu
atin
g th
e re
lativ
e
impo
rtan
ce o
f a n
umbe
r of d
iffer
ent
fact
ors i
n ex
plan
atio
ns o
r arg
umen
tsA
naly
se th
e de
velo
pmen
t of s
cien
tific
•
theo
ries t
hrou
gh th
e em
erge
nce
of
new
, acc
epte
d id
eas a
nd e
vide
nce
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Des
crib
e w
ays i
n w
hich
the
valu
es o
f •
a so
ciet
y in
fluen
ce th
e na
ture
of t
he
scie
nce
deve
lope
d in
that
soc
iety
or
perio
d of
his
tory
Eval
uate
the
effe
cts o
f sci
entif
ic o
r •
tech
nolo
gica
l dev
elop
men
ts o
n so
ciet
y as
a w
hole
Expl
ain
the
unin
tend
ed c
onse
quen
ces
•th
at m
ay a
rise
from
sci
entif
ic a
nd
tech
nolo
gica
l dev
elop
men
tsM
ake
bala
nced
judg
emen
ts a
bout
•
part
icul
ar s
cien
tific
or t
echn
olog
ical
de
velo
pmen
ts b
y ev
alua
ting
the
econ
omic
, eth
ical
/mor
al, s
ocia
l or
cultu
ral i
mpl
icat
ions
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Criti
cally
eva
luat
e in
form
atio
n •
and
evid
ence
from
var
ious
so
urce
s, ex
plai
ning
lim
itatio
ns,
mis
repr
esen
tatio
n or
lack
of b
alan
cePr
esen
t rob
ust a
nd w
ell s
truc
ture
d •
expl
anat
ions
, arg
umen
ts o
r cou
nter
ar
gum
ents
in a
var
iety
of w
ays
Sugg
est t
he sp
ecia
lism
s and
skill
s •
that
wou
ld b
e ne
eded
to s
olve
pa
rtic
ular
sci
entif
ic p
robl
ems o
r to
gene
rate
par
ticul
ar n
ew s
cien
tific
or
tech
nolo
gica
l dev
elop
men
ts
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Just
ify th
eir c
hoic
e of
stra
tegi
es fo
r •
inve
stig
atin
g di
ffer
ent k
inds
of s
cien
tific
qu
estio
ns, u
sing
scie
ntifi
c kn
owle
dge
and
unde
rsta
ndin
gCh
oose
and
just
ify d
ata
colle
ctio
n •
met
hods
that
min
imis
e er
ror,
and
prod
uce
prec
ise
and
relia
ble
data
Adap
t the
ir ap
proa
ches
to p
ract
ical
wor
k •
to c
ontr
ol ri
sk b
y co
nsul
ting
appr
opria
te
reso
urce
s and
exp
ert a
dvic
e
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Prop
ose
scie
ntifi
c ex
plan
atio
ns
•fo
r une
xpec
ted
obse
rvat
ions
or
mea
sure
men
ts, m
akin
g al
low
ance
s for
an
omal
ies
Proc
ess d
ata,
incl
udin
g us
ing
mul
ti-st
ep
•ca
lcul
atio
ns a
nd c
ompo
und
mea
sure
s,
to id
entif
y co
mpl
ex re
latio
nshi
ps
betw
een
varia
bles
Criti
cally
inte
rpre
t, ev
alua
te a
nd
•sy
nthe
sise
con
flict
ing
evid
ence
Sugg
est a
nd ju
stify
impr
ovem
ents
•
to e
xper
imen
tal p
roce
dure
s usi
ng
deta
iled
scie
ntifi
c kn
owle
dge
and
unde
rsta
ndin
g an
d su
gges
t co
here
nt s
trat
egie
s to
take
par
ticul
ar
inve
stig
atio
ns fu
rthe
r
Le
vel 7
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Mak
e ex
plic
it co
nnec
tions
bet
wee
n •
abst
ract
idea
s and
/or m
odel
s in
expl
aini
ng p
roce
sses
or p
heno
men
aEm
ploy
a s
yste
mat
ic a
ppro
ach
in
•de
cidi
ng th
e re
lativ
e im
port
ance
of
a nu
mbe
r of s
cien
tific
fact
ors w
hen
expl
aini
ng p
roce
sses
or p
heno
men
aEx
plai
n ho
w d
iffer
ent p
iece
s of
•ev
iden
ce su
ppor
t acc
epte
d sc
ient
ific
idea
s or c
ontr
ibut
e to
que
stio
ns th
at
scie
nce
cann
ot fu
lly a
nsw
erEx
plai
n th
e pr
oces
ses b
y w
hich
idea
s •
and
evid
ence
are
acc
epte
d or
reje
cted
by
the
scie
ntifi
c co
mm
unity
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Sugg
est w
ays i
n w
hich
sci
entif
ic a
nd
•te
chno
logi
cal d
evel
opm
ents
may
be
influ
ence
d Ex
plai
n ho
w s
cien
tific
dis
cove
ries c
an
•ch
ange
wor
ldvi
ews
Sugg
est e
cono
mic
, eth
ical
/mor
al,
•so
cial
or c
ultu
ral a
rgum
ents
for a
nd
agai
nst s
cien
tific
or t
echn
olog
ical
de
velo
pmen
tsEx
plai
n ho
w c
reat
ive
thin
king
in s
cien
ce
•an
d te
chno
logy
gen
erat
es id
eas f
or
futu
re re
sear
ch a
nd d
evel
opm
ent
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Expl
ain
how
info
rmat
ion
or e
vide
nce
•fr
om v
ario
us s
ourc
es m
ay h
ave
been
m
anip
ulat
ed in
ord
er to
influ
ence
in
terp
reta
tion
Effe
ctiv
ely
repr
esen
t abs
trac
t ide
as
•us
ing
appr
opria
te s
ymbo
ls, f
low
di
agra
ms a
nd d
iffer
ent k
inds
of
grap
hs in
pre
sent
ing
expl
anat
ions
and
ar
gum
ents
Ex
plai
n ho
w s
cien
tists
with
diff
eren
t •
spec
ialis
ms a
nd sk
ills h
ave
cont
ribut
ed
to p
artic
ular
sci
entif
ic o
r tec
hnol
ogic
al
deve
lopm
ents
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Form
ulat
e qu
estio
ns o
r ide
as th
at
•ca
n be
inve
stig
ated
by
synt
hesi
sing
in
form
atio
n fr
om a
rang
e of
sou
rces
Iden
tify
key
varia
bles
in c
ompl
ex
•co
ntex
ts, e
xpla
inin
g w
hy so
me
cann
ot re
adily
be
cont
rolle
d an
d pl
anni
ng a
ppro
pria
te a
ppro
ache
s to
inve
stig
atio
ns to
take
acc
ount
of t
his
Expl
ain
how
to ta
ke a
ccou
nt o
f sou
rces
•
of e
rror
in o
rder
to c
olle
ct re
liabl
e da
ta
Reco
gnis
e th
e ne
ed fo
r ris
k as
sess
men
ts
•an
d co
nsul
t, an
d ac
t on,
app
ropr
iate
so
urce
s of i
nfor
mat
ion
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Expl
ain
how
dat
a ca
n be
inte
rpre
ted
•in
diff
eren
t way
s and
how
une
xpec
ted
outc
omes
cou
ld b
e si
gnifi
cant
Iden
tify
quan
titat
ive
rela
tions
hips
•
betw
een
varia
bles
, usi
ng th
em to
in
form
con
clus
ions
and
mak
e fu
rthe
r pr
edic
tions
Ass
ess t
he s
tren
gth
of e
vide
nce,
•
deci
ding
whe
ther
it is
suff
icie
nt to
su
ppor
t a c
oncl
usio
nEx
plai
n w
ays o
f mod
ifyin
g w
orki
ng
•m
etho
ds to
impr
ove
relia
bilit
y
BL
IE
Ke
y:
BL
-Bel
ow L
evel
IE
-Insu
ffic
ient
Evi
denc
e
Ove
rall
asse
ssm
ent (
tick
one
box
only
)Lo
w 7
Se
cure
7
Hig
h 7
Low
8
Sec
ure
8
Hig
h 8
2 The National Strategies | Secondary Assessing pupils’ progress in science at Key Stage 3: assessment guidelines
00067-2009BKT-EN © Crown copyright 2009
APP
sci
ence
ass
essm
ent g
uide
lines
: lev
els 6
and
7N
ame…
……
……
……
......
......
......
......
......
......
......
......
AF1
– T
hink
ing
scie
ntif
ical
lyA
F2 –
Und
erst
andi
ng th
e ap
plic
atio
ns
and
impl
icat
ions
of s
cien
ceA
F3 –
Com
mun
icat
ing
and
colla
bora
ting
in
sci
ence
AF4
– U
sing
inve
stig
ativ
e ap
proa
ches
AF5
– W
orki
ng c
riti
cally
wit
h ev
iden
ce
Leve
l 7A
cros
s a ra
nge
of c
onte
xts a
nd p
ract
ical
si
tuat
ions
pup
ils:
Mak
e ex
plic
it co
nnec
tions
bet
wee
n •
abst
ract
idea
s and
/or m
odel
s in
expl
aini
ng p
roce
sses
or p
heno
men
aEm
ploy
a s
yste
mat
ic a
ppro
ach
in
•de
cidi
ng th
e re
lativ
e im
port
ance
of
a nu
mbe
r of s
cien
tific
fact
ors w
hen
expl
aini
ng p
roce
sses
or p
heno
men
aEx
plai
n ho
w d
iffer
ent p
iece
s of
•ev
iden
ce su
ppor
t acc
epte
d sc
ient
ific
idea
s or c
ontr
ibut
e to
que
stio
ns th
at
scie
nce
cann
ot fu
lly a
nsw
erEx
plai
n th
e pr
oces
ses b
y w
hich
idea
s •
and
evid
ence
are
acc
epte
d or
reje
cted
by
the
scie
ntifi
c co
mm
unity
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Sugg
est w
ays i
n w
hich
sci
entif
ic a
nd
•te
chno
logi
cal d
evel
opm
ents
may
be
influ
ence
d Ex
plai
n ho
w s
cien
tific
dis
cove
ries c
an
•ch
ange
wor
ldvi
ews
Sugg
est e
cono
mic
, eth
ical
/mor
al,
•so
cial
or c
ultu
ral a
rgum
ents
for a
nd
agai
nst s
cien
tific
or t
echn
olog
ical
de
velo
pmen
tsEx
plai
n ho
w c
reat
ive
thin
king
in s
cien
ce
•an
d te
chno
logy
gen
erat
es id
eas f
or
futu
re re
sear
ch a
nd d
evel
opm
ent
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Expl
ain
how
info
rmat
ion
or e
vide
nce
•fr
om v
ario
us s
ourc
es m
ay b
een
man
ipul
ated
in o
rder
to in
fluen
ce
inte
rpre
tatio
nEf
fect
ivel
y re
pres
ent a
bstr
act i
deas
•
usin
g ap
prop
riate
sym
bols
, flo
w
diag
ram
s and
diff
eren
t kin
ds o
f gr
aphs
in p
rese
ntin
g ex
plan
atio
ns a
nd
argu
men
ts
Expl
ain
how
sci
entis
ts w
ith d
iffer
ent
•sp
ecia
lism
s and
skill
s hav
e co
ntrib
uted
to
par
ticul
ar s
cien
tific
or t
echn
olog
ical
de
velo
pmen
ts
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Form
ulat
e qu
estio
ns o
r ide
as th
at c
an b
e •
inve
stig
ated
by
synt
hesi
sing
info
rmat
ion
from
a ra
nge
of so
urce
sId
entif
y ke
y va
riabl
es in
com
plex
•
cont
exts
, exp
lain
ing
why
som
e ca
nnot
re
adily
be
cont
rolle
d an
d pl
anni
ng
appr
opria
te a
ppro
ache
s to
inve
stig
atio
ns
to ta
ke a
ccou
nt o
f thi
s Ex
plai
n ho
w to
take
acc
ount
of s
ourc
es o
f •
erro
r in
orde
r to
colle
ct re
liabl
e da
ta
Reco
gnis
e th
e ne
ed fo
r ris
k as
sess
men
ts
•an
d co
nsul
t, an
d ac
t on,
app
ropr
iate
so
urce
s of i
nfor
mat
ion
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Expl
ain
how
dat
a ca
n be
inte
rpre
ted
•in
diff
eren
t way
s and
how
une
xpec
ted
outc
omes
cou
ld b
e si
gnifi
cant
Iden
tify
quan
titat
ive
rela
tions
hips
•
betw
een
varia
bles
, usi
ng th
em to
in
form
con
clus
ions
and
mak
e fu
rthe
r pr
edic
tions
Ass
ess t
he s
tren
gth
of e
vide
nce,
•
deci
ding
whe
ther
it is
suff
icie
nt to
su
ppor
t a c
oncl
usio
nEx
plai
n w
ays o
f mod
ifyin
g w
orki
ng
•m
etho
ds to
impr
ove
relia
bilit
y
Le
vel 6
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Use
abs
trac
t ide
as o
r mod
els o
r •
mul
tiple
fact
ors w
hen
expl
aini
ng
proc
esse
s or p
heno
men
aId
entif
y th
e st
reng
ths a
nd w
eakn
esse
s •
of p
artic
ular
mod
els
Des
crib
e so
me
scie
ntifi
c ev
iden
ce
•th
at su
ppor
ts o
r ref
utes
par
ticul
ar
idea
s or a
rgum
ents
, inc
ludi
ng th
ose
in
deve
lopm
ent
Expl
ain
how
new
sci
entif
ic e
vide
nce
•is
dis
cuss
ed a
nd in
terp
rete
d by
the
scie
ntifi
c co
mm
unity
and
how
this
may
le
ad to
cha
nges
in s
cien
tific
idea
s
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Des
crib
e ho
w d
iffer
ent d
ecis
ions
on
•th
e us
es o
f sci
entif
ic a
nd te
chno
logi
cal
deve
lopm
ents
may
be
mad
e in
di
ffer
ent e
cono
mic
, soc
ial o
r cul
tura
l co
ntex
tsEx
plai
n ho
w s
ocie
ties a
re a
ffec
ted
by
•pa
rtic
ular
sci
entif
ic a
pplic
atio
ns o
r id
eas
Des
crib
e ho
w p
artic
ular
sci
entif
ic o
r •
tech
nolo
gica
l dev
elop
men
ts h
ave
prov
ided
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denc
e to
hel
p sc
ient
ists
po
se a
nd a
nsw
er fu
rthe
r que
stio
nsD
escr
ibe
how
asp
ects
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cien
ce a
re
•ap
plie
d in
par
ticul
ar jo
bs o
r rol
es
Acr
oss a
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e of
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text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Iden
tify
lack
of b
alan
ce in
the
•pr
esen
tatio
n of
info
rmat
ion
or e
vide
nce
Choo
se fo
rms t
o co
mm
unic
ate
•qu
alita
tive
or q
uant
itativ
e da
ta
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opria
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data
and
the
purp
ose
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e co
mm
unic
atio
nD
istin
guis
h be
twee
n da
ta a
nd
•in
form
atio
n fr
om p
rimar
y so
urce
s,
seco
ndar
y so
urce
s and
sim
ulat
ions
, and
pr
esen
t the
m in
the
mos
t app
ropr
iate
fo
rm
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
App
ly s
cien
tific
kno
wle
dge
and
•un
ders
tand
ing
in th
e pl
anni
ng o
f in
vest
igat
ions
, ide
ntify
ing
sign
ifica
nt
varia
bles
and
reco
gnis
ing
whi
ch a
re
inde
pend
ent a
nd w
hich
are
dep
ende
ntJu
stify
thei
r cho
ices
of d
ata
colle
ctio
n •
met
hod
and
prop
osed
num
ber o
f ob
serv
atio
ns a
nd m
easu
rem
ents
Colle
ct d
ata
choo
sing
app
ropr
iate
•
rang
es, n
umbe
rs a
nd v
alue
s for
m
easu
rem
ents
and
obs
erva
tions
Inde
pend
ently
reco
gnis
e a
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e of
•
fam
iliar
risk
s and
take
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to c
ontr
ol
them
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Sugg
est r
easo
ns b
ased
on
scie
ntifi
c •
know
ledg
e an
d un
ders
tand
ing
for
any
limita
tions
or i
ncon
sist
enci
es in
ev
iden
ce c
olle
cted
Se
lect
and
man
ipul
ate
data
and
•
info
rmat
ion
and
use
them
to c
ontr
ibut
e to
con
clus
ions
Dra
w c
oncl
usio
ns th
at a
re c
onsi
sten
t •
with
the
evid
ence
they
hav
e co
llect
ed
and
expl
ain
them
usi
ng s
cien
tific
kn
owle
dge
and
unde
rsta
ndin
g M
ake
valid
com
men
ts o
n th
e qu
ality
of
•th
eir d
ata
BL
IE
Ke
y:
BL
-Bel
ow L
evel
IE
-Insu
ffic
ient
Evi
denc
e
Ove
rall
asse
ssm
ent (
tick
one
box
only
)Lo
w 6
Se
cure
6
Hig
h 6
Low
7
Sec
ure
7
Hig
h 7
3The National Strategies | Secondary Assessing pupils’ progress in science at Key Stage 3: assessment guidelines
© Crown copyright 2009 00067-2009BKT-EN
APP
sci
ence
ass
essm
ent g
uide
lines
: lev
els 5
and
6
Nam
e……
……
……
…...
......
......
......
......
......
......
......
...
AF1
– T
hink
ing
scie
ntif
ical
lyA
F2 –
Und
erst
andi
ng th
e ap
plic
atio
ns
and
impl
icat
ions
of s
cien
ceA
F3 –
Com
mun
icat
ing
and
colla
bora
ting
in
sci
ence
AF4
– U
sing
inve
stig
ativ
e ap
proa
ches
AF5
– W
orki
ng c
riti
cally
wit
h ev
iden
ce
Leve
l 6A
cros
s a ra
nge
of c
onte
xts a
nd p
ract
ical
si
tuat
ions
pup
ils:
Use
abs
trac
t ide
as o
r mod
els o
r •
mul
tiple
fact
ors w
hen
expl
aini
ng
proc
esse
s or p
heno
men
aId
entif
y th
e st
reng
ths a
nd w
eakn
esse
s •
of p
artic
ular
mod
els
Des
crib
e so
me
scie
ntifi
c ev
iden
ce
•th
at su
ppor
ts o
r ref
utes
par
ticul
ar
idea
s or a
rgum
ents
, inc
ludi
ng th
ose
in
deve
lopm
ent
Expl
ain
how
new
sci
entif
ic e
vide
nce
•is
dis
cuss
ed a
nd in
terp
rete
d by
the
scie
ntifi
c co
mm
unity
and
how
this
may
le
ad to
cha
nges
in s
cien
tific
idea
s
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Des
crib
e ho
w d
iffer
ent d
ecis
ions
on
•th
e us
es o
f sci
entif
ic a
nd te
chno
logi
cal
deve
lopm
ents
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mad
e in
di
ffer
ent e
cono
mic
, soc
ial o
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tura
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ntex
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plai
n ho
w s
ocie
ties a
re a
ffec
ted
by
•pa
rtic
ular
sci
entif
ic a
pplic
atio
ns o
r id
eas
Des
crib
e ho
w p
artic
ular
sci
entif
ic o
r •
tech
nolo
gica
l dev
elop
men
ts h
ave
prov
ided
evi
denc
e to
hel
p sc
ient
ists
po
se a
nd a
nsw
er fu
rthe
r que
stio
nsD
escr
ibe
how
asp
ects
of s
cien
ce a
re
•ap
plie
d in
par
ticul
ar jo
bs o
r rol
es
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Iden
tify
lack
of b
alan
ce in
the
•pr
esen
tatio
n of
info
rmat
ion
or e
vide
nce
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se fo
rms t
o co
mm
unic
ate
•qu
alita
tive
or q
uant
itativ
e da
ta
appr
opria
te to
the
data
and
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purp
ose
of th
e co
mm
unic
atio
nD
istin
guis
h be
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n da
ta a
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•in
form
atio
n fr
om p
rimar
y so
urce
s,
seco
ndar
y so
urce
s and
sim
ulat
ions
, and
pr
esen
t the
m in
the
mos
t app
ropr
iate
fo
rm
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
App
ly s
cien
tific
kno
wle
dge
and
•un
ders
tand
ing
in th
e pl
anni
ng o
f in
vest
igat
ions
, ide
ntify
ing
sign
ifica
nt
varia
bles
and
reco
gnis
ing
whi
ch a
re
inde
pend
ent a
nd w
hich
are
dep
ende
ntJu
stify
thei
r cho
ices
of d
ata
colle
ctio
n •
met
hod
and
prop
osed
num
ber o
f ob
serv
atio
ns a
nd m
easu
rem
ents
Colle
ct d
ata
choo
sing
app
ropr
iate
•
rang
es, n
umbe
rs a
nd v
alue
s for
m
easu
rem
ents
and
obs
erva
tions
Inde
pend
ently
reco
gnis
e a
rang
e of
•
fam
iliar
risk
s and
take
act
ion
to c
ontr
ol
them
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Sugg
est r
easo
ns b
ased
on
scie
ntifi
c •
know
ledg
e an
d un
ders
tand
ing
for
any
limita
tions
or i
ncon
sist
enci
es in
ev
iden
ce c
olle
cted
Se
lect
and
man
ipul
ate
data
and
•
info
rmat
ion
and
use
them
to c
ontr
ibut
e to
con
clus
ions
Dra
w c
oncl
usio
ns th
at a
re c
onsi
sten
t •
with
the
evid
ence
they
hav
e co
llect
ed
and
expl
ain
them
usi
ng s
cien
tific
kn
owle
dge
and
unde
rsta
ndin
g M
ake
valid
com
men
ts o
n th
e qu
ality
of
•th
eir d
ata
Le
vel 5
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Use
abs
trac
t ide
as o
r mod
els o
r •
mor
e th
an o
ne s
tep
whe
n de
scrib
ing
proc
esse
s or p
heno
men
aEx
plai
n pr
oces
ses o
r phe
nom
ena,
•
sugg
est s
olut
ions
to p
robl
ems o
r an
swer
que
stio
ns b
y dr
awin
g on
ab
stra
ct id
eas o
r mod
els
Reco
gnis
e sc
ient
ific
ques
tions
that
do
•no
t yet
hav
e de
finiti
ve a
nsw
ers
Iden
tify
the
use
of e
vide
nce
and
•cr
eativ
e th
inki
ng b
y sc
ient
ists
in th
e de
velo
pmen
t of s
cien
tific
idea
s
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Des
crib
e di
ffer
ent v
iew
poin
ts a
rang
e •
of p
eopl
e m
ay h
ave
abou
t sci
entif
ic o
r te
chno
logi
cal d
evel
opm
ents
Indi
cate
how
sci
entif
ic o
r tec
hnol
ogic
al
•de
velo
pmen
ts m
ay a
ffec
t diff
eren
t gr
oups
of p
eopl
e in
diff
eren
t way
sId
entif
y et
hica
l or m
oral
issu
es
•lin
ked
to s
cien
tific
or t
echn
olog
ical
de
velo
pmen
tsLi
nk a
pplic
atio
ns o
f sci
ence
or
•te
chno
logy
to th
eir u
nder
pinn
ing
scie
ntifi
c id
eas
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Dis
tingu
ish
betw
een
opin
ion
and
•sc
ient
ific
evid
ence
in c
onte
xts r
elat
ed
to s
cien
ce, a
nd u
se e
vide
nce
rath
er
than
opi
nion
to su
ppor
t or c
halle
nge
scie
ntifi
c ar
gum
ents
Dec
ide
on th
e m
ost a
ppro
pria
te
•fo
rmat
s to
pres
ent s
ets o
f sci
entif
ic
data
, suc
h as
usi
ng li
ne g
raph
s for
co
ntin
uous
var
iabl
esU
se a
ppro
pria
te s
cien
tific
and
•
mat
hem
atic
al c
onve
ntio
ns a
nd
term
inol
ogy
to c
omm
unic
ate
abst
ract
id
eas
Sugg
est h
ow c
olla
bora
tive
•ap
proa
ches
to sp
ecifi
c ex
perim
ents
or
inve
stig
atio
ns m
ay im
prov
e th
e ev
iden
ce c
olle
cted
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Reco
gnis
e si
gnifi
cant
var
iabl
es in
•
inve
stig
atio
ns, s
elec
ting
the
mos
t su
itabl
e to
inve
stig
ate
Expl
ain
why
par
ticul
ar p
iece
s of
•eq
uipm
ent o
r inf
orm
atio
n so
urce
s are
ap
prop
riate
for t
he q
uest
ions
or i
deas
un
der i
nves
tigat
ion
Repe
at s
ets o
f obs
erva
tions
or
•m
easu
rem
ents
whe
re a
ppro
pria
te,
sele
ctin
g su
itabl
e ra
nges
and
inte
rval
sM
ake,
and
act
on,
sugg
estio
ns to
•
cont
rol o
bvio
us ri
sks t
o th
emse
lves
an
d ot
hers
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Inte
rpre
t dat
a in
a v
arie
ty o
f for
mat
s,
•re
cogn
isin
g ob
viou
s inc
onsi
sten
cies
Prov
ide
stra
ight
forw
ard
expl
anat
ions
•
for d
iffer
ence
s in
repe
ated
obs
erva
tions
or
mea
sure
men
tsD
raw
val
id c
oncl
usio
ns th
at u
tilis
e •
mor
e th
an o
ne p
iece
of s
uppo
rtin
g ev
iden
ce, i
nclu
ding
num
eric
al d
ata
and
line
grap
hsEv
alua
te th
e ef
fect
iven
ess o
f the
ir •
wor
king
met
hods
, mak
ing
prac
tical
su
gges
tions
for i
mpr
ovin
g th
em
BL
IE
Ke
y:
BL
-Bel
ow L
evel
IE
-Insu
ffic
ient
Evi
denc
e
Ove
rall
asse
ssm
ent (
tick
one
box
only
)Lo
w 5
S
ecur
e 5
Hig
h 5
Low
6
Sec
ure
6
Hig
h 6
4 The National Strategies | Secondary Assessing pupils’ progress in science at Key Stage 3: assessment guidelines
00067-2009BKT-EN © Crown copyright 2009
APP
sci
ence
ass
essm
ent g
uide
lines
: lev
els 4
and
5
Nam
e……
……
……
…...
......
......
......
......
......
......
......
...
AF1
– T
hink
ing
scie
ntif
ical
lyA
F2 –
Und
erst
andi
ng th
e ap
plic
atio
ns
and
impl
icat
ions
of s
cien
ceA
F3 –
Com
mun
icat
ing
and
colla
bora
ting
in
sci
ence
AF4
– U
sing
inve
stig
ativ
e ap
proa
ches
AF5
– W
orki
ng c
riti
cally
wit
h ev
iden
ce
Leve
l 5A
cros
s a ra
nge
of c
onte
xts a
nd p
ract
ical
si
tuat
ions
pup
ils:
Use
abs
trac
t ide
as o
r mod
els o
r •
mor
e th
an o
ne s
tep
whe
n de
scrib
ing
proc
esse
s or p
heno
men
aEx
plai
n pr
oces
ses o
r phe
nom
ena,
•
sugg
est s
olut
ions
to p
robl
ems o
r an
swer
que
stio
ns b
y dr
awin
g on
ab
stra
ct id
eas o
r mod
els
Reco
gnis
e sc
ient
ific
ques
tions
that
do
•no
t yet
hav
e de
finiti
ve a
nsw
ers
Iden
tify
the
use
of e
vide
nce
and
•cr
eativ
e th
inki
ng b
y sc
ient
ists
in th
e de
velo
pmen
t of s
cien
tific
idea
s
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Des
crib
e di
ffer
ent v
iew
poin
ts a
rang
e •
of p
eopl
e m
ay h
ave
abou
t sci
entif
ic o
r te
chno
logi
cal d
evel
opm
ents
Indi
cate
how
sci
entif
ic o
r tec
hnol
ogic
al
•de
velo
pmen
ts m
ay a
ffec
t diff
eren
t gr
oups
of p
eopl
e in
diff
eren
t way
sId
entif
y et
hica
l or m
oral
issu
es
•lin
ked
to s
cien
tific
or t
echn
olog
ical
de
velo
pmen
tsLi
nk a
pplic
atio
ns o
f sci
ence
or
•te
chno
logy
to th
eir u
nder
pinn
ing
scie
ntifi
c id
eas
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Dis
tingu
ish
betw
een
opin
ion
and
•sc
ient
ific
evid
ence
in c
onte
xts r
elat
ed
to s
cien
ce, a
nd u
se e
vide
nce
rath
er
than
opi
nion
to su
ppor
t or c
halle
nge
scie
ntifi
c ar
gum
ents
Dec
ide
on th
e m
ost a
ppro
pria
te
•fo
rmat
s to
pres
ent s
ets o
f sci
entif
ic
data
, suc
h as
usi
ng li
ne g
raph
s for
co
ntin
uous
var
iabl
esU
se a
ppro
pria
te s
cien
tific
and
•
mat
hem
atic
al c
onve
ntio
ns a
nd
term
inol
ogy
to c
omm
unic
ate
abst
ract
id
eas
Sugg
est h
ow c
olla
bora
tive
•ap
proa
ches
to sp
ecifi
c ex
perim
ents
or
inve
stig
atio
ns m
ay im
prov
e th
e ev
iden
ce c
olle
cted
Acr
oss a
rang
e of
con
text
s and
pra
ctic
al
situ
atio
ns p
upils
:
Reco
gnis
e si
gnifi
cant
var
iabl
es in
•
inve
stig
atio
ns, s
elec
ting
the
mos
t su
itabl
e to
inve
stig
ate
Expl
ain
why
par
ticul
ar p
iece
s of
•eq
uipm
ent o
r inf
orm
atio
n so
urce
s are
ap
prop
riate
for t
he q
uest
ions
or i
deas
un
der i
nves
tigat
ion
Repe
at s
ets o
f obs
erva
tions
or
•m
easu
rem
ents
whe
re a
ppro
pria
te,
sele
ctin
g su
itabl
e ra
nges
and
inte
rval
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ata
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•
vario
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rmat
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str
aigh
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war
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nclu
sion
s fro
m
•da
ta p
rese
nted
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ario
us fo
rmat
sId
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evid
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used
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raw
ing
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est i
mpr
ovem
ents
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•m
etho
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ivin
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ason
s
BL
IE
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y:
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-Bel
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evel
IE
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Evi
denc
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Ove
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tick
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w 4
S
ecur
e 4
Hig
h 4
Low
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ure
5
Hig
h 5
5The National Strategies | Secondary Assessing pupils’ progress in science at Key Stage 3: assessment guidelines
© Crown copyright 2009 00067-2009BKT-EN
APP
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ass
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F2 –
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F3 –
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bora
ting
in
sci
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AF4
– U
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inve
stig
ativ
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proa
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AF5
– W
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ng c
riti
cally
wit
h ev
iden
ce
Leve
l 4A
cros
s a ra
nge
of c
onte
xts a
nd p
ract
ical
si
tuat
ions
pup
ils:
Use
sci
entif
ic id
eas w
hen
desc
ribin
g •
sim
ple
proc
esse
s or p
heno
men
a U
se si
mpl
e m
odel
s to
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ribe
scie
ntifi
c •
idea
sId
entif
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ient
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ence
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used
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eas o
r ar
gum
ents
Acr
oss a
rang
e of
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text
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pra
ctic
al
situ
atio
ns p
upils
:
Des
crib
e so
me
sim
ple
posi
tive
and
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gativ
e co
nseq
uenc
es o
f sci
entif
ic a
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tech
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gica
l dev
elop
men
tsRe
cogn
ise
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icat
ions
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peci
fic
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ient
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text
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ctic
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ata
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data
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hey
have
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t in
•ex
perim
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king
ca
use
and
effe
ctSu
gges
t im
prov
emen
ts to
thei
r wor
king
•
met
hods
BL
IE
Ke
y:
BL
-Bel
ow L
evel
IE
-Insu
ffic
ient
Evi
denc
e
Ove
rall
asse
ssm
ent (
tick
one
box
only
)Lo
w 3
S
ecur
e 3
Hig
h 3
Low
4
Sec
ure
4
Hig
h 4
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Audience: Secondary science subject leaders Date of issue: 01-2009 Ref: 00067-2009BKT-EN
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