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C
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en
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cs,
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Ma
s
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I
n
s
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T
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d
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ated
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t
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o
u
tp
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t
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alit
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y
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[
1
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.
T
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b
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ca
n
en
h
an
ce
lear
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s
’
wr
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s
k
ills
[
2
]
.
I
n
th
e
p
r
o
f
ess
io
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u
s
in
ess
wo
r
ld
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cu
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to
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ized
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als
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tial
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ls
f
o
r
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g
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ip
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ar
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ter
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th
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tex
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lear
n
in
g
to
u
s
e
ar
tific
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tellig
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(
AI
)
as a
n
im
p
o
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tan
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p
p
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t to
o
l is also
cr
u
cial.
Ma
n
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ch
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k
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e
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lan
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m
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el
s
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f
AI
o
n
s
k
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u
ch
as
wr
itin
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[
3
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,
wh
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tak
in
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in
to
ac
co
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th
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eth
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is
s
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d
p
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ac
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ch
allen
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es
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m
ay
b
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ac
ed
[
4
]
.
R
eg
ar
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in
g
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h
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a
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tio
n
o
f
C
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in
wr
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t
ea
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in
g
,
ca
n
it
im
p
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v
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s
tu
d
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ts
’
wr
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a
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?
So
m
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ch
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ar
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eliev
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at
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s
h
o
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ld
b
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r
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-
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x
am
in
ed
[
5
]
.
H
o
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,
th
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r
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also
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tu
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ies
th
at
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ts
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wr
itin
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m
o
tiv
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n
,
s
elf
-
ef
f
icac
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an
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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t
J
E
v
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&
R
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d
u
c
,
Vo
l
.
15
,
No
.
1
,
Feb
r
u
a
r
y
20
2
6
:
579
-
586
580
p
ar
ticip
atio
n
[
6
]
.
S
ch
o
lar
s
b
eliev
e
th
at
wh
en
C
h
atGPT
i
s
u
s
e
d
as
a
wr
itin
g
aid
,
m
eta
-
co
g
n
itiv
e
awa
r
en
ess
an
d
cr
itical
th
in
k
in
g
s
k
ills
s
h
o
u
ld
b
e
s
tr
en
g
th
en
e
d
[
7
]
.
I
n
ter
m
s
o
f
wr
itin
g
cr
ea
tiv
ity
,
s
o
m
e
s
tu
d
ies
h
av
e
s
h
o
wn
th
at
C
h
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n
in
s
p
ir
e
w
r
itin
g
i
n
s
p
ir
atio
n
an
d
e
n
h
an
ce
h
u
m
an
wr
itin
g
cr
ea
tiv
ity
[
8
]
.
H
o
we
v
er
,
th
e
ap
p
licatio
n
o
f
g
en
er
ativ
e
AI
(
Gen
AI
)
in
cr
ea
tiv
e
wr
itin
g
s
h
o
u
ld
r
ec
o
n
ce
p
t
u
alize
th
e
attr
ib
u
tio
n
o
f
cr
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tiv
ity
to
h
u
m
an
an
d
n
o
n
-
h
u
m
a
n
s
u
b
jects
[
9
]
.
Alth
o
u
g
h
in
th
e
f
iel
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o
f
liter
ar
y
cr
ea
ti
o
n
,
C
h
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n
n
o
t
r
e
p
lace
th
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au
t
h
o
r
’
s
p
er
s
o
n
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ex
p
er
ien
ce
,
k
n
o
wled
g
e,
in
tu
itio
n
,
an
d
r
ef
lectio
n
,
it
h
a
s
co
n
s
id
er
ab
le
ap
p
licatio
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p
o
t
en
tial
an
d
h
as
b
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o
m
e
a
v
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a
b
le
to
o
l
f
o
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wr
iter
s
to
p
r
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ce
p
t d
e
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m
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n
t,
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u
p
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o
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g
m
ater
ials
,
s
u
m
m
ar
ies an
d
cr
ea
tiv
e
wr
itin
g
[
1
0
]
.
Ho
w
to
ap
p
r
o
p
r
iately
i
n
teg
r
at
e
AI
in
to
th
e
e
d
u
ca
tio
n
al
p
r
o
ce
s
s
to
en
h
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teac
h
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g
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f
e
ctiv
en
ess
,
wh
ile
also
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r
o
m
o
tin
g
m
o
r
e
cr
ea
tiv
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ap
p
licatio
n
s
o
f
AI
i
n
in
s
tr
u
ctio
n
,
d
ee
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en
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n
in
g
,
an
d
f
o
s
ter
in
g
lear
n
er
s
’
g
r
o
wth
,
h
as
b
ec
o
m
e
an
im
p
o
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tan
t
to
p
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o
f
d
is
cu
s
s
io
n
.
Sch
o
lar
s
h
av
e
ex
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lo
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s
u
e
f
r
o
m
m
u
ltip
le
p
er
s
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ec
tiv
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c
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Ho
wev
er
,
in
co
r
p
o
r
atin
g
AI
ass
is
tan
ce
in
th
e
wr
itin
g
p
r
o
ce
s
s
h
as
s
h
o
wn
p
o
s
itiv
e
ef
f
ec
ts
o
n
asp
ec
ts
s
u
ch
as
tex
tu
al
o
r
g
an
i
za
tio
n
,
co
h
e
r
en
ce
,
g
r
am
m
ar
,
a
n
d
v
o
ca
b
u
lar
y
[
1
1
]
.
Ho
wev
er
,
d
is
cu
s
s
io
n
s
f
r
o
m
th
e
s
tu
d
en
ts
’
p
er
s
p
ec
tiv
e
h
ig
h
lig
h
t
b
o
th
ad
v
a
n
tag
es
an
d
d
is
ad
v
an
tag
es.
At
th
e
s
am
e
tim
e,
th
er
e
ar
e
c
o
n
ce
r
n
s
ab
o
u
t le
ar
n
e
r
s
b
ec
o
m
in
g
o
v
er
l
y
d
ep
e
n
d
en
t
o
n
AI
[
1
2
]
.
W
h
ile
AI
r
ep
r
esen
ted
b
y
C
h
atGPT
d
em
o
n
s
tr
ates
s
ig
n
if
ican
t
p
ed
ag
o
g
ical
p
o
ten
tial,
it
is
n
o
t
with
o
u
t
lim
itatio
n
s
[
1
3
]
.
B
ef
o
r
e
ad
o
p
tin
g
C
h
atGPT
in
h
ig
h
er
ed
u
ca
tio
n
,
b
o
th
i
n
s
tr
u
cto
r
s
an
d
s
tu
d
en
ts
m
u
s
t
d
e
v
elo
p
th
e
ab
ilit
y
to
d
is
ce
r
n
p
o
ten
tia
l
b
iases
o
r
in
ap
p
r
o
p
r
iate
co
n
t
en
t
in
AI
-
g
en
er
ated
o
u
t
p
u
ts
[
1
4
]
.
C
o
n
s
eq
u
en
tly
,
AI
-
ass
is
ted
teac
h
in
g
n
ec
ess
itates
th
e
p
r
io
r
d
ev
el
o
p
m
en
t
an
d
im
p
lem
en
tatio
n
o
f
n
ew
p
ed
ag
o
g
ical
s
tr
ateg
ies
[
1
5
]
.
Fu
r
th
er
m
o
r
e,
s
ch
o
lar
s
m
ain
tain
th
at
AI
ca
n
n
o
t
r
ep
lace
th
e
r
o
le
o
f
ed
u
ca
to
r
s
in
th
e
te
ac
h
in
g
p
r
o
ce
s
s
n
o
r
alter
th
e
f
u
n
d
am
en
tal
n
at
u
r
e
o
f
ed
u
ca
tio
n
[
1
6
]
.
T
o
ad
d
r
ess
th
e
p
o
ten
tial
c
h
allen
g
es
o
f
d
im
in
is
h
ed
lear
n
in
g
ab
ilit
y
o
r
o
v
er
-
r
elian
ce
o
n
AI
in
h
u
m
an
-
c
o
m
p
u
ter
in
ter
ac
tio
n
,
th
is
s
tu
d
y
s
tr
ateg
ically
em
p
lo
y
ed
s
ca
f
f
o
ld
in
g
th
eo
r
y
to
co
n
s
tr
u
ct
a
wr
itin
g
f
o
u
n
d
atio
n
.
T
h
is
ap
p
r
o
ac
h
f
ac
ilit
ates
th
e
in
teg
r
atio
n
o
f
C
h
atGPT
as
a
h
u
m
an
-
co
m
p
u
ter
i
n
ter
ac
tio
n
to
o
l
in
to
u
n
iv
er
s
ity
-
lev
el
wr
itin
g
c
o
u
r
s
es,
th
er
eb
y
m
o
r
e
co
n
s
tr
u
ctiv
el
y
im
p
r
o
v
in
g
wr
itin
g
s
k
ills
.
Alth
o
u
g
h
r
esear
ch
o
n
th
e
co
llab
o
r
ativ
e
ap
p
licatio
n
o
f
s
ca
f
f
o
ld
i
n
g
th
e
o
r
y
a
n
d
C
h
atGPT
as
a
C
h
in
ese
wr
itin
g
s
u
p
p
o
r
t
to
o
l
r
e
m
ain
s
lim
ited
,
th
is
s
tu
d
y
aim
s
to
e
x
p
lo
r
e
h
o
w
Gen
AI
to
o
ls
ca
n
b
e
ap
p
r
o
p
r
iately
u
tili
ze
d
to
im
p
r
o
v
e
in
s
tr
u
ctio
n
a
n
d
s
u
p
p
o
r
t stu
d
e
n
ts
’
lear
n
in
g
o
f
p
o
ten
tial Ch
in
ese
wr
itin
g
in
s
tr
u
ctio
n
al
m
o
d
els.
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
2
.
1
.
B
a
s
ic
k
no
wledg
e
o
f
writ
ing
s
ho
uld
be
a
cq
uired bef
o
r
e
us
ing
AI t
o
a
s
s
is
t
writ
i
ng
Face
d
with
AI
-
g
en
er
ated
to
o
l
s
th
at
s
ig
n
if
ican
tly
im
p
r
o
v
e
wr
itin
g
ef
f
icien
cy
,
r
esear
ch
s
h
o
ws
th
at
u
n
iv
er
s
ity
teac
h
e
r
s
ar
e
i
n
cr
ea
s
in
g
ly
ex
p
ec
te
d
to
h
av
e
a
d
e
ep
u
n
d
er
s
tan
d
in
g
o
f
to
o
ls
s
u
ch
as
C
h
atGPT
an
d
ac
tiv
ely
p
r
o
m
o
te
th
eir
u
s
e
[
1
7
]
.
Ho
w
to
co
n
s
cio
u
s
ly
in
teg
r
ate
d
ig
ital
liter
ac
y
in
to
cu
r
r
i
cu
lu
m
d
esig
n
a
n
d
r
ed
ef
in
e
lear
n
in
g
o
b
jectiv
es
an
d
teac
h
in
g
p
r
o
ce
s
s
es
is
cr
u
ci
al
to
m
ee
tin
g
th
e
ev
er
-
ch
an
g
i
n
g
n
ee
d
s
o
f
lear
n
e
r
s
[
1
8
]
.
At
th
e
s
am
e
tim
e,
ac
ad
e
m
ic
r
esear
ch
em
p
h
asizes
th
at
teac
h
in
g
d
esig
n
m
u
s
t
h
elp
s
tu
d
en
ts
u
n
d
er
s
tan
d
th
e
b
asic
p
r
in
cip
les
an
d
tech
n
iq
u
es
o
f
tex
t
wr
itin
g
s
o
th
at
th
ey
ca
n
e
f
f
ec
tiv
ely
g
u
id
e
C
h
a
tGPT
to
co
m
p
lete
r
elev
an
t
task
s
[
1
9
]
.
I
n
a
d
d
itio
n
,
s
ch
o
lar
s
h
av
e
p
r
o
p
o
s
ed
th
at
th
e
in
teg
r
ity
o
f
AI
-
g
e
n
er
at
ed
co
n
ten
t
m
u
s
t
b
e
av
o
id
ed
,
s
u
ch
as
g
en
e
r
atin
g
r
ed
u
n
d
a
n
t
o
r
f
alse
in
f
o
r
m
atio
n
,
wh
ich
m
ay
h
in
d
e
r
th
e
d
ev
el
o
p
m
en
t
o
f
lear
n
in
g
ab
ilit
y
an
d
lead
to
s
u
p
er
f
icial
l
ea
r
n
in
g
[
2
0
]
.
I
t c
an
b
e
s
ee
n
th
at
h
o
w
to
ap
p
r
o
p
r
iately
u
s
e
C
h
atGPT
as a
wr
itin
g
au
x
iliar
y
to
o
l
to
h
elp
s
tu
d
en
ts
co
n
s
o
lid
ate
n
ewly
lear
n
e
d
k
n
o
wled
g
e
an
d
th
u
s
im
p
r
o
v
e
wr
iti
n
g
r
esu
lts
is
a
k
ey
is
s
u
e.
2
.
2
.
Usi
ng
s
ca
f
f
o
ldi
ng
t
heo
r
y
a
s
a
f
r
a
m
ewo
r
k
f
o
r
writ
ing
ins
t
ruct
io
na
l desig
n
2
.
2
.
1
.
Usi
ng
s
ca
f
f
o
ldi
ng
t
heo
ry
t
o
s
t
re
ng
t
hen ba
s
ic
writ
ing
s
k
ills
Fo
r
lear
n
er
s
with
in
s
u
f
f
icie
n
t
lear
n
in
g
m
o
tiv
atio
n
o
r
lear
n
in
g
ab
ilit
y
,
t
h
is
s
tu
d
y
ad
o
p
ts
th
e
f
r
am
ewo
r
k
o
f
co
n
s
tr
u
ctiv
is
t
lear
n
in
g
th
e
o
r
y
to
h
elp
s
tu
d
en
ts
u
n
d
er
s
tan
d
th
e
b
asic
co
n
ce
p
ts
an
d
wr
itin
g
p
r
in
cip
les
o
f
ac
tiv
ity
p
la
n
n
i
n
g
th
r
o
u
g
h
a
d
y
n
am
ic
p
r
ac
t
ice
p
r
o
ce
s
s
to
s
h
ap
e
an
d
c
o
n
s
tr
u
ct
k
n
o
wled
g
e.
T
h
e
s
ca
f
f
o
ld
in
g
th
eo
r
y
was
p
r
o
p
o
s
ed
b
y
W
o
o
d
et
a
l
.
[
2
1
]
in
1
9
7
6
an
d
m
ain
ly
p
r
o
v
id
es
teac
h
in
g
s
tr
ateg
ies
to
g
u
id
e
s
tu
d
en
ts
’
lear
n
in
g
wh
e
n
th
ey
ac
q
u
ir
e
n
ew
s
k
ills
o
r
n
e
w
co
n
ce
p
ts
.
T
h
e
ch
ar
ac
ter
is
tics
o
f
th
is
m
eth
o
d
ar
e
th
at
af
ter
ass
ess
in
g
th
e
s
tu
d
en
ts
’
lear
n
in
g
s
tar
tin
g
p
o
i
n
t,
teac
h
er
s
b
r
ea
k
d
o
wn
o
r
s
im
p
lify
t
h
e
lear
n
in
g
c
o
n
ten
t
ac
co
r
d
in
g
to
th
e
tar
g
et
task
s
,
h
ig
h
lig
h
t
t
h
e
k
e
y
p
o
in
ts
,
an
d
g
u
id
e
s
tu
d
en
ts
th
r
o
u
g
h
d
em
o
n
s
tr
atio
n
s
o
r
ex
p
lan
atio
n
s
.
T
h
is
r
ed
u
ce
s
th
e
lear
n
in
g
b
u
r
d
en
(
r
ed
u
ce
s
th
e
d
eg
r
ee
o
f
f
r
ee
d
o
m
)
an
d
en
ab
l
es
s
tu
d
en
ts
to
f
o
cu
s
an
d
en
g
ag
e
i
n
lear
n
in
g
m
o
r
e
ef
f
ec
tiv
ely
[
2
2
]
.
L
ik
e
s
ca
f
f
o
ld
in
g
in
a
b
u
ild
in
g
,
th
e
th
e
o
r
y
p
r
o
v
id
es
s
y
s
tem
atic
an
d
s
tep
-
by
-
s
tep
s
u
p
p
o
r
t.
Af
t
er
s
tu
d
en
ts
m
aster
th
e
b
asic
s
k
ills
,
th
ey
ar
e
ex
p
ec
ted
to
u
s
e
wh
at
th
ey
h
av
e
lear
n
ed
to
in
d
ep
en
d
en
tly
e
x
p
a
n
d
th
eir
p
o
ten
tial a
n
d
co
m
p
lete
r
elate
d
task
s
[
2
3
]
,
[
2
4
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t
J
E
v
al
&
R
es E
d
u
c
I
SS
N:
2252
-
8
8
2
2
Timely
in
tr
o
d
u
ctio
n
o
f A
I
tea
c
h
in
g
p
r
a
ctice
s
:
a
n
a
u
xilia
r
y
to
o
l fo
r
C
h
in
ese
p
r
o
p
o
s
a
l
… (
Ts
u
i
-
F
en
g
Hu
a
n
g
)
581
2
.
2
.
2
.
Sca
f
f
o
ldi
ng
t
heo
r
y
pro
po
s
es e
x
pa
nd
i
ng
lea
rner
s
’
p
ro
x
im
a
l dev
el
o
pm
ent
zo
ne
T
h
e
s
ca
f
f
o
ld
in
g
th
eo
r
y
f
u
r
th
er
ex
p
an
d
s
th
e
lear
n
er
’
s
d
e
v
elo
p
m
en
t
p
o
ten
tial,
wh
ich
ec
h
o
es
th
e
co
n
ce
p
t
o
f
th
e
“
z
o
n
e
o
f
p
r
o
x
i
m
al
d
ev
elo
p
m
en
t
(
Z
PD)
”
p
r
o
p
o
s
ed
b
y
Vy
g
o
ts
k
y
[
2
5
]
.
T
h
e
Z
PD
r
ep
r
esen
ts
th
e
g
ap
b
etwe
en
th
e
lear
n
e
r
’
s
a
b
ilit
y
to
c
o
m
p
lete
task
s
in
d
ep
en
d
en
tly
an
d
th
e
lev
el
ac
h
iev
ed
with
f
u
r
th
er
g
u
id
an
ce
.
Ho
we
v
er
,
wh
eth
er
t
h
e
lear
n
er
ca
n
m
a
k
e
p
r
o
g
r
ess
d
ep
en
d
s
o
n
t
h
e
d
eg
r
ee
o
f
d
ev
elo
p
m
en
t
o
f
h
is
o
r
h
er
p
o
ten
tial
[
2
6
]
.
At
th
is
s
tag
e,
th
e
in
s
tr
u
cto
r
m
u
s
t
ad
o
p
t
ap
p
r
o
p
r
iate
teac
h
in
g
s
tr
ateg
ies
an
d
p
r
o
v
i
d
e
ef
f
ec
tiv
e
lear
n
in
g
r
eso
u
r
ce
s
[
2
7
]
.
Gr
ad
u
ally
tr
an
s
f
er
th
e
r
es
p
o
n
s
ib
ilit
y
o
f
lear
n
in
g
to
th
e
lear
n
er
,
h
elp
i
n
g
th
e
lear
n
er
to
en
te
r
th
e
Z
PD
,
d
ev
elo
p
a
ce
r
tain
d
eg
r
ee
o
f
a
u
to
n
o
m
y
,
an
d
cu
ltiv
ate
ad
ap
tab
ilit
y
an
d
id
ea
l
wr
itin
g
s
k
ills
.
Sch
o
lar
s
p
o
in
t
o
u
t
th
at
d
ig
ital
tech
n
o
lo
g
y
ca
n
en
h
an
c
e
s
tu
d
en
ts
’
th
in
k
in
g
an
d
p
r
o
b
l
em
-
s
o
lv
in
g
ab
ilit
ies
[
2
8
]
an
d
im
p
r
o
v
e
th
e
q
u
ality
an
d
ef
f
icien
cy
o
f
c
o
p
y
wr
itin
g
[
2
9
]
.
Ho
wev
e
r
,
lear
n
er
s
m
u
s
t
f
ir
s
t
p
r
ep
a
r
e
b
asic
wr
itin
g
s
k
ills
to
h
elp
th
em
ju
d
g
e
wh
eth
er
th
e
c
o
n
ten
t g
en
er
a
ted
b
y
C
h
atGPT
is
ac
cu
r
ate,
th
er
eb
y
a
v
o
id
in
g
th
e
p
r
o
b
lem
o
f
am
b
i
g
u
o
u
s
in
f
o
r
m
atio
n
b
ein
g
m
is
u
n
d
er
s
to
o
d
o
r
p
lag
iar
ized
[
3
0
]
,
[
3
1
]
.
T
h
is
s
tu
d
y
in
tr
o
d
u
ce
d
an
AI
-
ass
is
ted
o
p
tim
izatio
n
s
tep
af
ter
th
e
lear
n
er
s
co
m
p
leted
t
h
e
in
itial
wr
itin
g
r
esu
lts
,
wh
i
ch
is
an
attem
p
t
to
ex
p
an
d
th
e
p
r
o
x
im
al
d
e
v
elo
p
m
en
t z
o
n
e.
3.
M
E
T
H
O
D
T
h
is
s
tu
d
y
aim
ed
to
a
n
s
wer
th
e
f
o
llo
win
g
q
u
esti
o
n
s
:
i)
D
o
es
a
s
ca
f
f
o
ld
i
n
g
a
p
p
r
o
ac
h
h
elp
s
tu
d
en
ts
b
u
ild
f
u
n
d
a
m
en
tal
co
g
n
itiv
e
u
n
d
er
s
tan
d
in
g
b
ased
o
n
t
h
e
ac
tiv
ity
p
lan
,
th
e
r
eb
y
ac
h
iev
in
g
a
ce
r
tain
lev
el
o
f
wr
itin
g
p
r
o
f
icien
cy
?
ii)
C
an
s
tu
d
en
ts
p
r
o
v
id
e
a
p
p
r
o
p
r
iate
in
s
tr
u
ctio
n
s
to
th
e
AI
,
s
p
ec
if
ically
d
em
o
n
s
tr
atin
g
its
ef
f
ec
tiv
en
ess
in
f
u
r
th
er
o
p
tim
izin
g
t
h
eir
wr
itin
g
o
u
tco
m
es?
3.
1
.
Resea
rc
h su
bje
ct
s
T
h
e
r
esear
ch
s
u
b
jects
wer
e
f
ir
s
t
-
y
ea
r
s
tu
d
en
ts
at
a
p
r
iv
ate
u
n
iv
er
s
ity
in
C
en
tr
al
T
aiwa
n
.
T
h
e
s
tu
d
y
in
clu
d
ed
6
8
s
tu
d
e
n
ts
f
r
o
m
th
e
Dep
ar
tm
en
t
o
f
Ar
c
h
itectu
r
e,
6
2
f
r
o
m
th
e
Dep
a
r
tm
en
t
o
f
Ma
r
k
etin
g
,
a
n
d
3
9
f
r
o
m
th
e
Dep
ar
tm
en
t
o
f
Ai
r
T
r
an
s
p
o
r
tatio
n
,
f
o
r
a
to
tal
o
f
1
6
9
s
tu
d
en
ts
.
Du
e
to
f
ac
to
r
s
s
u
ch
as
ab
s
en
teeism
an
d
in
co
m
p
lete
d
ata,
th
e
f
in
a
l
v
alid
s
am
p
le
co
n
s
is
ted
o
f
5
6
s
tu
d
en
ts
f
r
o
m
th
e
Dep
ar
tm
en
t
o
f
Ar
ch
itectu
r
e,
4
8
f
r
o
m
th
e
Dep
ar
tm
en
t
o
f
Ma
r
k
etin
g
,
an
d
3
5
f
r
o
m
th
e
Dep
ar
tm
en
t
o
f
Air
T
r
a
n
s
p
o
r
t
atio
n
,
f
o
r
a
to
tal
o
f
1
3
9
s
tu
d
en
ts
.
Stu
d
e
n
ts
in
th
e
Dep
ar
tm
en
t
o
f
Ar
ch
itectu
r
e
s
h
o
wed
th
e
h
ig
h
est
le
v
el
o
f
l
ea
r
n
in
g
m
o
tiv
atio
n
,
f
o
llo
wed
b
y
th
o
s
e
in
th
e
Dep
a
r
tm
en
t
o
f
Ma
r
k
etin
g
.
Stu
d
en
ts
in
t
h
e
Dep
a
r
tm
en
t
o
f
Air
T
r
a
n
s
p
o
r
tatio
n
s
h
o
wed
th
e
lo
west lev
el
o
f
lear
n
in
g
m
o
tiv
atio
n
,
o
f
ten
ex
p
er
ien
cin
g
m
en
tal
f
atig
u
e
a
n
d
a
lack
o
f
p
ar
ticip
atio
n
.
3.
2
.
Da
t
a
c
o
llect
io
n
T
h
is
m
eth
o
d
o
lo
g
y
o
u
tlin
es
a
s
tr
u
ctu
r
ed
,
s
ca
f
f
o
l
d
ed
p
r
o
ce
s
s
f
o
r
d
ev
el
o
p
in
g
p
r
ac
tical
wr
itin
g
s
k
ills
,
in
teg
r
atin
g
d
ir
ec
t
in
s
tr
u
ctio
n
,
co
llab
o
r
ativ
e
lear
n
in
g
,
an
d
i
ter
ativ
e
r
ef
in
em
en
t
with
AI
to
o
ls
.
As
s
h
o
wn
in
T
ab
le
1
,
t
ea
ch
er
s
will
g
r
ad
e
th
e
ess
ay
twice,
u
s
in
g
a
th
r
ee
-
d
im
en
s
io
n
al
s
co
r
in
g
s
y
s
tem
(
5
-
6
p
o
in
ts
f
o
r
ex
ce
llen
t,
3
-
4
p
o
in
ts
f
o
r
av
e
r
a
g
e,
an
d
1
-
2
p
o
in
ts
f
o
r
f
ailin
g
)
.
Stu
d
en
ts
will
b
e
g
r
ad
ed
b
ased
o
n
th
e
o
r
ig
i
n
ality
o
f
th
eir
to
p
ic
(
wh
eth
er
it
is
en
g
ag
in
g
)
,
th
e
co
m
p
leten
ess
o
f
th
eir
s
tr
u
ctu
r
e
(
s
p
ec
if
icity
an
d
f
ea
s
ib
ilit
y
)
,
an
d
th
e
clar
ity
an
d
co
n
cisen
ess
o
f
th
ei
r
lan
g
u
a
g
e.
Fig
u
r
e
1
p
r
esen
ts
th
e
d
ata
co
llectio
n
p
r
o
ce
s
s
.
T
ab
le
1
.
A
th
r
ee
-
wee
k
f
r
am
ew
o
r
k
f
o
r
AI
-
ass
is
ted
wr
itin
g
d
e
v
elo
p
m
en
t
S
t
e
p
O
b
j
e
c
t
i
v
e
A
c
t
i
v
i
t
i
e
s
I
l
l
u
st
r
a
t
e
P
h
a
se
1
:
f
o
u
n
d
a
t
i
o
n
a
l
I
n
st
r
u
c
t
i
o
n
a
n
d
S
c
a
f
f
o
l
d
e
d
I
n
i
t
i
a
t
i
o
n
(
w
e
e
k
1
)
Est
a
b
l
i
s
h
c
o
r
e
w
r
i
t
i
n
g
p
r
i
n
c
i
p
l
e
s
a
n
d
i
n
i
t
i
a
t
e
t
h
e
w
r
i
t
i
n
g
t
a
sk
w
i
t
h
g
u
i
d
e
d
su
p
p
o
r
t
.
D
i
r
e
c
t
i
n
s
t
r
u
c
t
i
o
n
Th
e
i
n
s
t
r
u
c
t
o
r
e
x
p
l
i
c
a
t
e
s
k
e
y
w
r
i
t
i
n
g
t
e
c
h
n
i
q
u
e
s
a
n
d
c
o
n
v
e
n
t
i
o
n
s
u
si
n
g
e
x
e
mp
l
a
r
t
e
x
t
s
.
C
o
l
l
a
b
o
r
a
t
i
v
e
v
e
r
i
f
i
c
a
t
i
o
n
Le
a
r
n
e
r
s
e
n
g
a
g
e
i
n
sma
l
l
-
g
r
o
u
p
d
i
s
c
u
ss
i
o
n
s
t
o
r
e
i
n
f
o
r
c
e
c
o
m
p
r
e
h
e
n
si
o
n
o
f
t
h
e
i
n
st
r
u
c
t
i
o
n
a
l
c
o
n
t
e
n
t
.
G
u
i
d
e
d
a
p
p
l
i
c
a
t
i
o
n
W
i
t
h
i
n
s
t
r
u
c
t
o
r
sc
a
f
f
o
l
d
i
n
g
,
l
e
a
r
n
e
r
s
se
q
u
e
n
t
i
a
l
l
y
b
e
g
i
n
t
h
e
w
r
i
t
i
n
g
t
a
sk
,
st
a
r
t
i
n
g
w
i
t
h
a
ma
n
a
g
e
a
b
l
e
c
o
m
p
o
n
e
n
t
(
e
.
g
.
,
t
h
e
t
i
t
l
e
se
c
t
i
o
n
)
.
P
h
a
se
2
:
d
r
a
f
t
c
o
m
p
l
e
t
i
o
n
a
n
d
A
I
t
o
o
l
e
x
p
l
o
r
a
t
i
o
n
(
w
e
e
k
2
)
C
r
i
t
i
c
a
l
l
y
r
e
v
i
s
e
t
h
e
d
r
a
f
t
b
a
s
e
d
o
n
f
e
e
d
b
a
c
k
a
n
d
A
I
-
g
e
n
e
r
a
t
e
d
i
n
p
u
t
t
o
e
n
h
a
n
c
e
q
u
a
l
i
t
y
,
f
e
a
si
b
i
l
i
t
y
,
a
n
d
p
r
o
f
e
ss
i
o
n
a
l
i
sm.
D
r
a
f
t
f
i
n
a
l
i
z
a
t
i
o
n
Le
a
r
n
e
r
s
c
o
m
p
l
e
t
e
t
h
e
i
r
i
n
i
t
i
a
l
d
r
a
f
t
s
b
a
se
d
o
n
t
h
e
p
r
e
v
i
o
u
s
w
e
e
k
’
s
w
o
r
k
.
A
I
i
n
t
e
g
r
a
t
i
o
n
t
r
a
i
n
i
n
g
Th
e
i
n
st
r
u
c
t
o
r
p
r
o
v
i
d
e
s
g
u
i
d
e
d
p
r
a
c
t
i
c
e
i
n
f
o
r
m
u
l
a
t
i
n
g
p
r
o
mp
t
s
f
o
r
t
h
e
A
I
t
o
o
l
.
A
p
p
l
i
c
a
t
i
o
n
s
i
n
c
l
u
d
e
b
r
a
i
n
s
t
o
r
mi
n
g
a
c
t
i
v
i
t
y
t
h
e
mes,
r
e
s
e
a
r
c
h
i
n
g
p
r
a
c
t
i
c
a
l
d
e
t
a
i
l
s
(
e
.
g
.
,
b
u
d
g
e
t
)
,
a
n
d
i
d
e
n
t
i
f
y
i
n
g
p
o
t
e
n
t
i
a
l
a
c
t
i
v
i
t
y
b
e
n
e
f
i
t
s.
P
h
a
se
3
:
i
t
e
r
a
t
i
v
e
r
e
f
i
n
e
me
n
t
a
n
d
AI
-
a
ssi
st
e
d
r
e
v
i
s
i
o
n
(
w
e
e
k
3
)
C
r
i
t
i
c
a
l
l
y
r
e
v
i
s
e
t
h
e
d
r
a
f
t
b
a
s
e
d
o
n
f
e
e
d
b
a
c
k
a
n
d
A
I
-
g
e
n
e
r
a
t
e
d
i
n
p
u
t
t
o
e
n
h
a
n
c
e
q
u
a
l
i
t
y
,
f
e
a
si
b
i
l
i
t
y
,
a
n
d
p
r
o
f
e
ss
i
o
n
a
l
i
sm.
F
o
r
mat
i
v
e
f
e
e
d
b
a
c
k
Th
e
i
n
st
r
u
c
t
o
r
e
v
a
l
u
a
t
e
s
t
h
e
f
i
r
s
t
d
r
a
f
t
,
p
r
o
v
i
d
i
n
g
t
a
r
g
e
t
e
d
f
e
e
d
b
a
c
k
o
n
c
o
n
t
e
n
t
,
g
r
a
mm
a
r
,
a
n
d
st
r
u
c
t
u
r
e
.
AI
-
a
u
g
m
e
n
t
e
d
r
e
v
i
s
i
o
n
Le
a
r
n
e
r
s i
n
d
e
p
e
n
d
e
n
t
l
y
u
s
e
t
h
e
A
I
t
o
o
l
t
o
s
u
p
p
l
e
me
n
t
a
n
d
r
e
f
i
n
e
t
h
e
i
r
d
r
a
f
t
s.
R
e
v
i
s
i
o
n
s
a
r
e
e
x
p
l
i
c
i
t
l
y
d
o
c
u
m
e
n
t
e
d
(
e
.
g
.
,
u
s
i
n
g
c
o
l
o
r
e
d
a
n
n
o
t
a
t
i
o
n
s)
t
o
t
r
a
c
k
c
h
a
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I
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2
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15
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Fig
u
r
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1
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Relia
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izatio
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3
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.
B
iv
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ly
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As
s
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wn
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T
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le
3
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a
p
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itiv
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elatio
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(
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+
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o
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s
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d
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in
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icatin
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a
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tr
o
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g
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s
itiv
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ca
f
f
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ld
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s
in
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AI
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ass
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.
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ly
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in
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ests
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tech
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to
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h
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d
q
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ality
.
3.
3
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.
Reg
re
s
s
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n m
o
del su
m
m
a
ry
As
s
h
o
wn
in
T
ab
le
4
,
th
e
o
v
er
all
m
o
d
el
was
s
tatis
ti
ca
lly
s
ig
n
if
ican
t
(
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=
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,
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ch
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m
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f
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l
lev
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.
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h
e
co
r
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d
in
g
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test
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e
(
2
,
1
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=
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r
t
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er
s
u
p
p
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r
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is
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ig
n
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ican
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,
t
h
e
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f
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t
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²=
0
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s
f
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)
,
with
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d
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Evaluation Warning : The document was created with Spire.PDF for Python.
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s
f
r
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m
“
s
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in
s
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”
to
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AI
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ass
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ted
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p
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s
till
h
as so
m
e
in
f
lu
en
ce
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n
lear
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s
’
c
o
p
y
w
r
itin
g
o
u
tc
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m
es.
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ab
le
3
.
C
o
r
r
elatio
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an
aly
s
is
C
o
r
r
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l
a
t
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n
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f
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T
ab
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4.
Mo
d
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s
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m
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ar
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M
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l
R
R
s
q
u
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A
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d
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s
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4.
DIS
CU
SS
I
O
N
4
.
1
.
Sca
f
f
o
ldi
ng
t
ea
ching
helps
im
pro
v
e
writ
ing
s
k
ills
Fo
r
s
tu
d
en
ts
with
lo
w
wr
itin
g
m
o
tiv
atio
n
,
s
ca
f
f
o
ld
in
g
teac
h
i
n
g
s
tr
ateg
ies f
o
cu
s
o
n
d
etailed
g
u
id
an
ce
,
wh
ich
h
elp
s
lear
n
er
s
u
n
d
er
s
tan
d
an
d
p
r
o
g
r
ess
,
an
d
en
s
u
r
es
th
at
th
e
f
ir
s
t
d
r
af
t
d
em
o
n
s
tr
a
tes
ce
r
tain
wr
itin
g
s
k
ills
[
3
2
]
,
th
er
eb
y
m
ak
i
n
g
th
e
av
er
ag
e
s
co
r
e
h
ig
h
e
r
th
an
th
e
m
ed
ian
.
4
.
2
.
Cha
t
G
P
T
dem
o
ns
t
ra
t
es e
f
f
ec
t
iv
eness
in o
ptim
izing
writ
ing
o
utc
o
m
es
Sch
o
lar
s
h
av
e
p
o
in
ted
o
u
t
th
at
AI
to
o
ls
ca
n
in
d
ee
d
p
r
o
v
i
d
e
p
er
s
o
n
alize
d
s
u
p
p
o
r
t
a
n
d
in
ter
ac
tiv
e
lear
n
in
g
ex
p
er
ien
ce
s
[
3
3
]
,
wh
i
ch
ca
n
en
h
a
n
ce
ac
tiv
e
lear
n
in
g
an
d
en
a
b
le
s
tu
d
en
ts
to
m
o
r
e
ef
f
ec
tiv
ely
id
en
tify
ar
ea
s
th
at
n
ee
d
r
ev
is
io
n
.
T
h
is
ca
n
s
tr
en
g
th
en
m
etac
o
g
n
itiv
e
wr
itin
g
s
k
ills
an
d
tr
an
s
f
o
r
m
AI
in
to
a
v
alu
ab
le
p
ar
tn
er
in
th
e
wr
itin
g
p
r
o
ce
s
s
[
1
7
]
.
T
h
er
ef
o
r
e,
th
is
s
tu
d
y
s
h
o
ws
th
at
C
h
atGPT
is
ef
f
ec
tiv
e
in
o
p
tim
izin
g
wr
itin
g
o
u
tc
o
m
es.
Alth
o
u
g
h
in
th
e
s
ec
o
n
d
r
o
u
n
d
o
f
ev
alu
atio
n
,
it
was
f
o
u
n
d
th
at
s
tu
d
en
ts
with
a
lo
w
-
to
-
m
e
d
iu
m
lev
el
(
s
co
r
e
≤
4
p
o
in
ts
)
wer
e
less
p
er
s
is
t
en
t
in
ask
in
g
q
u
esti
o
n
s
r
ep
ea
ted
ly
,
an
d
s
tu
d
en
ts
with
a
m
ed
iu
m
o
r
h
ig
h
er
lev
el
wer
e
m
o
r
e
ac
tiv
e
,
o
v
e
r
all,
it st
ill d
em
o
n
s
tr
ated
ef
f
ec
tiv
e
n
ess
.
4
.
3
.
AI
-
a
s
s
is
t
ed
writ
ing
ca
n help r
educe
wr
it
ing
f
rus
t
ra
t
io
n
T
h
is
s
tu
d
y
also
f
o
u
n
d
th
at
AI
-
ass
is
ted
wr
itin
g
ca
n
r
ed
u
ce
t
h
e
f
r
u
s
tr
atio
n
lear
n
e
r
s
ex
p
e
r
ien
ce
wh
en
th
ey
h
av
e
v
ag
u
e
co
n
ce
p
ts
,
lim
ited
v
o
ca
b
u
lar
y
,
o
r
lac
k
i
n
s
p
ir
atio
n
[
3
4
]
.
T
h
is
allo
ws
th
em
to
co
m
p
lete
c
o
n
ten
t
with
o
u
t
b
lan
k
,
r
o
u
g
h
,
in
c
o
m
p
l
ete,
o
r
m
is
s
p
elled
co
n
ten
t.
H
o
wev
er
,
ef
f
o
r
ts
s
h
o
u
l
d
also
b
e
m
ad
e
to
s
tu
d
y
h
o
w
to
av
o
id
t
h
e
p
r
o
b
lem
th
at
AI
to
o
ls
m
ay
ca
u
s
e
lear
n
e
r
s
to
s
to
p
lear
n
in
g
o
r
wea
k
en
th
eir
i
n
tellig
en
ce
[
3
5
]
.
4
.
4
.
AI
-
a
s
s
is
t
ed
writ
ing
s
ho
uld
im
pro
v
e
a
pp
lica
t
io
n lit
er
a
cy
Ma
n
y
s
tu
d
ies
h
av
e
s
h
o
wn
th
at
AI
to
o
ls
ca
n
b
e
a
v
alu
ab
le
r
eso
u
r
ce
f
o
r
im
p
r
o
v
in
g
wr
itin
g
i
n
s
tr
u
ctio
n
[
3
6
]
.
T
h
is
s
tu
d
y
f
o
u
n
d
t
h
at
it
is
im
p
o
r
tan
t
to
cu
ltiv
ate
s
tu
d
e
n
ts
’
r
elev
an
t
ap
p
licatio
n
liter
ac
y
.
T
h
is
is
b
ec
au
s
e
d
ev
elo
p
in
g
wr
itin
g
e
d
u
ca
tio
n
th
at
m
ee
ts
s
tu
d
en
ts
’
co
n
tem
p
o
r
ar
y
n
ee
d
s
[
2
9
]
ca
n
in
d
ee
d
m
ak
e
th
e
ac
q
u
is
itio
n
o
f
wr
itin
g
s
k
ills
ea
s
ier
an
d
f
a
s
ter
[
3
7
]
;
an
d
im
p
r
o
v
e
lan
g
u
a
g
e
ac
cu
r
ac
y
,
co
n
ten
t
s
u
m
m
ar
i
za
tio
n
,
an
d
cr
ea
tiv
e
wr
itin
g
ab
ilit
y
[
3
8
]
.
Ho
wev
er
,
th
er
e
ar
e
s
till
p
o
ten
tial
d
if
f
er
en
ce
s
an
d
co
n
tr
ad
ictio
n
s
i
n
th
e
ap
p
licatio
n
o
f
A
I
to
o
ls
in
wr
itin
g
[
3
9
]
.
Fu
r
th
e
r
r
esear
ch
is
n
ee
d
e
d
in
r
elat
ed
ar
ea
s
s
u
ch
as
s
k
ills
,
co
g
n
itiv
e
d
ev
elo
p
m
en
t,
k
n
o
wled
g
e
ac
q
u
is
itio
n
,
an
d
le
ar
n
in
g
m
o
tiv
atio
n
[
4
0
]
,
as
we
ll
as
ex
p
lo
r
i
n
g
p
o
ten
tial
et
h
ical
is
s
u
es
th
at
m
ay
ar
is
e
[
1
9
]
a
n
d
p
o
s
s
ib
le
s
o
lu
tio
n
s
s
u
ch
as in
teg
r
ity
is
s
u
es
[
4
1
]
.
4
.
5
.
Writ
ing
ins
t
ruct
io
n sh
o
uld
s
t
ill f
o
cus
o
n ba
s
ic
co
g
nitio
n
T
h
e
co
r
e
in
ten
tio
n
o
f
th
is
te
ac
h
in
g
r
esear
c
h
is
th
at
b
ef
o
r
e
in
tr
o
d
u
cin
g
AI
as
a
wr
itin
g
aid
,
it
is
n
ec
ess
ar
y
to
estab
lis
h
b
asic
ac
ad
em
ic
co
g
n
itio
n
s
o
th
at
lear
n
er
s
ca
n
m
ain
tain
a
d
o
m
in
an
t
p
o
s
itio
n
in
h
u
m
an
-
c
o
m
p
u
ter
in
ter
ac
tio
n
an
d
ac
h
iev
e
p
eo
p
le
-
o
r
ien
ted
wr
itin
g
g
o
als.
I
n
a
d
d
itio
n
to
f
o
cu
s
in
g
o
n
h
o
w
t
o
co
m
b
in
e
AI
f
u
n
ctio
n
s
with
s
p
ec
if
ic
lear
n
in
g
n
ee
d
s
[
4
2
]
,
it
i
s
ac
tu
ally
m
o
r
e
im
p
o
r
tan
t
to
e
m
p
h
asize
p
er
s
o
n
al
p
ar
ticip
atio
n
an
d
in
d
ep
e
n
d
en
t
th
in
k
in
g
in
t
h
e
p
r
o
ce
s
s
o
f
h
u
m
an
-
co
m
p
u
ter
i
n
ter
ac
tio
n
[
4
3
]
;
h
o
w
to
d
ev
elo
p
ef
f
ec
tiv
e
teac
h
in
g
s
tr
ateg
ies
to
co
p
e
with
th
e
ch
allen
g
es
b
r
o
u
g
h
t
b
y
AI
[
4
4
]
.
I
n
th
is
p
r
o
ce
s
s
,
th
e
r
o
le
o
f
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
8
2
2
I
n
t
J
E
v
al
&
R
es E
d
u
c
,
Vo
l
.
15
,
No
.
1
,
Feb
r
u
a
r
y
20
2
6
:
579
-
586
584
teac
h
er
s
s
h
o
u
ld
b
e
r
ed
ef
in
e
d
an
d
teac
h
er
s
’
p
r
o
f
ess
io
n
al
d
ev
elo
p
m
en
t
s
h
o
u
ld
b
e
co
n
tin
u
o
u
s
ly
p
r
o
m
o
ted
to
o
v
er
co
m
e
cu
r
r
e
n
t o
b
s
tacle
s
[
4
5
]
.
5.
CO
NCLU
SI
O
N
Ma
n
y
s
tu
d
ies
h
av
e
ex
p
l
o
r
ed
t
h
e
ap
p
licatio
n
o
f
AI
in
wr
iti
n
g
,
b
u
t
f
ew
h
av
e
co
m
b
in
ed
s
ca
f
f
o
ld
in
g
with
AI
f
o
r
C
h
in
ese
co
p
y
wr
it
in
g
.
T
h
is
s
tu
d
y
’
s
r
esu
lts
s
u
g
g
est
th
at
s
ca
f
f
o
ld
in
g
ca
n
in
d
e
e
d
im
p
r
o
v
e
s
tu
d
en
ts
’
wr
itin
g
s
k
ills
,
an
d
f
o
s
ter
in
g
th
eir
u
s
e
o
f
t
h
e
C
h
atGPT
to
o
l
also
o
f
f
er
s
r
o
o
m
f
o
r
f
u
r
th
er
o
p
tim
izatio
n
.
Ho
wev
er
,
th
is
s
tu
d
y
also
id
en
tifie
d
s
o
m
e
lim
itatio
n
s
.
Fo
r
lear
n
er
s
with
s
tr
o
n
g
er
wr
itin
g
s
k
ills
,
m
o
r
e
tar
g
eted
h
u
m
an
-
c
o
m
p
u
ter
in
ter
ac
tio
n
g
u
id
an
ce
s
h
o
u
ld
b
e
p
r
o
v
i
d
ed
t
o
m
ee
t
th
eir
n
ee
d
s
,
h
elp
in
g
th
em
f
u
r
th
er
d
e
v
elo
p
th
eir
cr
ea
tiv
e
th
in
k
in
g
a
n
d
cr
ea
te
m
o
r
e
d
is
tin
ctiv
e
an
d
en
g
ag
in
g
ac
tiv
ity
p
r
o
p
o
s
als.
Fu
r
th
er
m
o
r
e
,
to
p
r
ev
en
t
s
tu
d
en
ts
f
r
o
m
th
e
o
v
er
-
r
elian
c
e
o
n
AI
,
teac
h
er
s
r
ec
o
m
m
e
n
d
tr
ain
in
g
t
h
em
o
n
ef
f
ec
tiv
e
p
r
o
m
p
ts
an
d
r
eq
u
ir
in
g
th
em
to
r
ec
o
r
d
t
h
eir
r
e
v
is
io
n
s
an
d
r
ef
lectio
n
s
to
m
o
n
ito
r
th
eir
lear
n
in
g
tr
ajec
to
r
y
.
Fu
r
t
h
er
m
o
r
e
,
s
tu
d
en
ts
s
h
o
u
ld
lear
n
to
id
en
tify
p
o
te
n
tial
er
r
o
r
s
an
d
d
is
to
r
tio
n
s
in
AI
-
g
en
er
ated
c
o
n
ten
t.
Dev
elo
p
in
g
m
u
ltimo
d
al
ass
ig
n
m
en
ts
th
at
allo
w
s
tu
d
en
ts
to
in
teg
r
ate
d
ig
ital
o
r
m
u
lti
m
ed
ia
s
k
ills
in
th
eir
cr
ea
tio
n
s
ca
n
f
u
r
th
er
r
ed
u
ce
th
e
r
is
k
o
f
p
lag
iar
is
m
.
T
h
e
im
p
ac
t
o
f
AI
o
n
s
tu
d
en
t
wr
itin
g
s
k
ills
war
r
an
ts
lo
n
g
-
ter
m
ex
p
lo
r
atio
n
.
T
h
is
will
allo
w
f
o
r
m
o
r
e
p
r
ec
is
e
o
b
s
er
v
atio
n
o
f
t
h
e
d
e
v
elo
p
m
en
t
o
f
s
tu
d
en
ts
’
in
d
ep
en
d
en
t
wr
itin
g
s
k
ills
,
cr
itical
th
i
n
k
in
g
,
an
d
in
-
d
ep
th
cr
ea
tiv
e
ex
p
r
ess
io
n
af
ter
u
s
in
g
AI
-
ass
is
ted
wr
itin
g
.
Fu
tu
r
e
r
esear
ch
co
u
l
d
also
test
AI
co
llab
o
r
atio
n
m
o
d
els
ac
r
o
s
s
a
wid
er
r
a
n
g
e
o
f
wr
itin
g
s
ty
les
to
u
n
d
er
s
tan
d
b
o
t
h
th
e
v
er
s
atility
an
d
lim
itatio
n
s
o
f
AI
-
ass
is
ted
wr
itin
g
,
th
er
eb
y
ex
p
lo
r
in
g
p
o
ten
tial
teac
h
in
g
s
tr
ateg
ies
f
o
r
d
iv
e
r
s
e
g
en
r
es.
Fu
r
th
er
m
o
r
e,
th
e
ef
f
ec
tiv
en
ess
o
f
in
teg
r
atin
g
AI
c
o
llab
o
r
atio
n
w
ith
o
th
er
teac
h
in
g
m
eth
o
d
s
co
u
ld
b
e
e
x
p
lo
r
e
d
.
F
UNDING
I
NF
O
R
M
A
T
I
O
N
T
h
e
au
th
o
r
s
g
r
atef
u
lly
a
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