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lary
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e
v
e
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n
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h
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ly
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lso
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n
ti
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o
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s,
with
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d
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c
in
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th
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larg
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re
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se
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,
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p
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rn
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p
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e
s
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c
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n
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s
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d
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C
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Ad
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tech
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d
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p
ar
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d
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m
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ea
lity
(
AR
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p
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I
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J
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Vo
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15
,
No
.
4
,
Au
g
u
s
t
20
26
:
3
6
2
3
-
3
6
3
5
3624
p
latf
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s
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co
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[
1
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.
R
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s
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v
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b
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Me
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[
2
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[
3
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d
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o
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at
VR
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ig
n
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ican
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en
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p
p
o
r
t
d
ee
p
er
co
g
n
itiv
e
p
r
o
c
ess
in
g
d
u
r
in
g
E
n
g
lis
h
lear
n
in
g
task
s
[
4
]
.
AR
-
ass
is
ted
E
n
g
l
is
h
in
s
tr
u
ctio
n
h
as
also
b
ee
n
f
o
u
n
d
to
im
p
r
o
v
e
le
ar
n
er
s
’
attitu
d
es,
s
elf
-
ef
f
icac
y
,
an
d
m
o
tiv
atio
n
,
s
u
g
g
esti
n
g
s
tr
o
n
g
a
f
f
ec
tiv
e
a
n
d
b
eh
av
io
r
al
b
en
e
f
its
[
5
]
,
[
6
]
.
B
ey
o
n
d
co
g
n
itiv
e
g
ai
n
s
,
im
m
er
s
iv
e
tech
n
o
lo
g
ies
af
f
o
r
d
a
u
th
e
n
tic
co
m
m
u
n
icativ
e
ex
p
er
ien
ce
s
.
VR
h
as
b
ee
n
s
h
o
wn
to
p
r
o
v
id
e
em
o
tio
n
ally
en
g
ag
in
g
an
d
s
o
cially
in
ter
ac
tiv
e
en
v
ir
o
n
m
e
n
ts
f
o
r
p
r
ac
ticin
g
lan
g
u
ag
e
s
k
ills
,
allo
win
g
lear
n
e
r
s
to
ex
p
er
im
e
n
t
with
id
en
tity
,
n
eg
o
tiatio
n
,
an
d
i
n
ter
ac
tio
n
in
s
im
u
lated
r
ea
l
-
life
co
n
tex
ts
[
7
]
,
[
8
]
.
I
n
VR
-
s
u
p
p
o
r
ted
3
D
v
ir
tu
al
E
n
g
lis
h
lear
n
in
g
e
n
v
ir
o
n
m
en
ts
,
s
tu
d
en
ts
b
en
ef
it
f
r
o
m
a
v
atar
-
m
e
d
iated
in
ter
ac
tio
n
an
d
im
m
er
s
iv
e
s
p
ac
es
th
at
s
u
p
p
o
r
t
p
er
s
o
n
al
ized
lear
n
in
g
an
d
p
ar
ticip
ato
r
y
k
n
o
wled
g
e
co
n
s
tr
u
ctio
n
[
9
]
,
[
1
0
]
.
T
h
e
ap
p
licatio
n
s
o
f
im
m
e
r
s
iv
e
tech
n
o
lo
g
ies
in
E
n
g
lis
h
as
a
f
o
r
eig
n
lan
g
u
ag
e
(
E
FL
)
ed
u
ca
tio
n
ar
e
d
iv
er
s
e.
R
esear
ch
s
h
o
ws
th
at
VR
ca
n
s
u
p
p
o
r
t
d
o
m
ai
n
-
s
p
e
cif
ic
E
n
g
lis
h
lear
n
in
g
b
y
o
f
f
e
r
in
g
c
o
n
tex
tu
alize
d
an
d
in
ter
ac
tiv
e
en
v
i
r
o
n
m
e
n
ts
,
as
d
em
o
n
s
tr
ated
in
s
tu
d
ies
o
n
m
ed
ical
E
n
g
lis
h
[
1
1
]
.
AR
-
an
d
g
am
e
-
e
n
h
an
ce
d
ap
p
r
o
ac
h
es h
av
e
also
b
ee
n
s
h
o
wn
to
p
r
o
m
o
te
m
o
tiv
atio
n
,
c
o
llab
o
r
atio
n
,
a
n
d
v
o
ca
b
u
lar
y
d
ev
elo
p
m
en
t th
r
o
u
g
h
s
itu
ated
lan
g
u
ag
e
task
s
[
1
2
]
,
[
1
3
]
.
I
n
h
ig
h
e
r
ed
u
ca
tio
n
,
V
R
h
as
f
u
r
th
e
r
b
ee
n
u
s
ed
to
e
n
h
an
ce
v
o
ca
b
u
lar
y
ac
q
u
is
itio
n
an
d
wr
itin
g
d
ev
elo
p
m
en
t,
illu
s
tr
atin
g
th
e
p
o
ten
tial
o
f
im
m
er
s
iv
e
to
o
ls
f
o
r
m
o
r
e
ad
v
a
n
ce
d
lan
g
u
ag
e
lear
n
in
g
o
u
tco
m
es [
1
4
]
–
[
1
6
]
.
Desp
ite
th
e
r
ap
id
g
r
o
wth
o
f
i
m
m
er
s
iv
e
lear
n
in
g
r
esear
ch
,
e
x
is
tin
g
s
tu
d
ies ar
e
h
ig
h
ly
d
is
p
er
s
ed
ac
r
o
s
s
v
ar
io
u
s
co
n
tex
ts
,
tech
n
o
l
o
g
ies,
s
k
ills
,
an
d
lear
n
er
g
r
o
u
p
s
.
A
lth
o
u
g
h
m
an
y
s
tu
d
ies
r
ep
o
r
t
p
o
s
itiv
e
o
u
tco
m
es,
th
er
e
is
n
o
co
n
s
o
lid
ated
u
n
d
e
r
s
tan
d
in
g
o
f
h
o
w
th
is
r
esear
ch
f
ield
h
as
ev
o
lv
ed
o
v
er
tim
e,
wh
o
th
e
lead
in
g
co
n
tr
ib
u
to
r
s
ar
e,
o
r
wh
ich
p
u
b
licatio
n
s
ex
er
t
th
e
g
r
ea
test
ac
ad
em
ic
in
f
lu
en
ce
.
As
th
e
b
o
d
y
o
f
r
esear
ch
co
n
tin
u
es
to
e
x
p
an
d
,
a
s
y
s
te
m
atic
o
v
er
v
iew
is
n
ee
d
ed
to
m
ap
th
e
f
ield
’
s
in
tellectu
al
s
tr
u
ctu
r
e
a
n
d
id
e
n
tify
em
er
g
in
g
tr
en
d
s
.
B
ib
lio
m
etr
ic
an
aly
s
is
p
r
o
v
id
es
an
o
b
jectiv
e
m
ea
n
s
to
tr
ac
e
r
esear
ch
d
ev
elo
p
m
en
t
an
d
r
ev
ea
l
u
n
d
er
ly
i
n
g
in
tellectu
al
p
atte
r
n
s
.
T
h
er
ef
o
r
e,
t
h
is
b
ib
lio
m
etr
ic
s
tu
d
y
aim
s
to
p
r
o
v
id
e
a
co
m
p
r
e
h
en
s
iv
e
p
er
f
o
r
m
an
ce
an
al
y
s
is
o
f
im
m
er
s
iv
e
tech
n
o
lo
g
y
r
esear
ch
in
E
n
g
lis
h
lan
g
u
ag
e
ed
u
ca
tio
n
.
Sp
ec
if
ically
,
it
ex
am
in
es
p
u
b
licatio
n
o
u
tp
u
t
s
,
citatio
n
im
p
ac
t,
lead
i
n
g
au
t
h
o
r
s
,
c
o
r
e
d
o
c
u
m
en
ts
,
a
n
d
in
f
l
u
en
tial
in
s
titu
tio
n
s
to
r
ev
ea
l th
e
f
ield
’
s
o
v
er
all
r
esear
ch
lan
d
s
ca
p
e.
T
h
e
s
tu
d
y
is
g
u
id
ed
b
y
th
e
f
o
llo
win
g
q
u
esti
o
n
s
:
−
W
h
at
ar
e
th
e
m
ain
tr
en
d
s
an
d
t
h
em
es o
f
im
m
er
s
iv
e
tec
h
n
o
lo
g
y
r
esear
ch
i
n
E
n
g
lis
h
lan
g
u
a
g
e
lear
n
in
g
?
−
W
h
o
an
d
wh
at
h
av
e
m
o
s
t sig
n
if
ican
tly
s
h
ap
ed
th
is
f
ield
?
2.
M
E
T
H
O
D
2
.
1
.
B
ibl
io
m
et
ric
a
pp
ro
a
ch
B
ib
lio
m
etr
ic
an
aly
s
is
o
f
f
e
r
s
a
s
y
s
tem
atic
an
d
r
eliab
le
wa
y
to
ass
ess
s
cien
tific
o
u
tp
u
t
a
n
d
r
esear
ch
in
f
lu
en
ce
u
s
in
g
q
u
an
titativ
e
i
n
d
icato
r
s
[
1
7
]
,
[
1
8
]
.
B
y
ap
p
l
y
in
g
p
er
f
o
r
m
an
ce
-
b
ased
m
etr
i
cs,
it
h
elp
s
id
en
tif
y
p
u
b
licatio
n
tr
en
d
s
,
p
r
o
m
in
e
n
t
au
th
o
r
s
,
co
r
e
jo
u
r
n
als,
an
d
lead
in
g
in
s
titu
tio
n
s
an
d
co
u
n
tr
ies,
th
u
s
clar
if
y
in
g
h
o
w
a
r
esear
ch
f
ield
h
as
d
ev
e
lo
p
ed
[
1
9
]
.
I
n
co
m
p
a
r
is
o
n
to
o
th
er
n
ar
r
ativ
e
r
ev
iews,
b
ib
lio
m
etr
ic
an
aly
s
is
ca
n
p
r
o
v
id
e
an
o
b
jectiv
e
an
d
tr
an
s
p
ar
en
t o
v
er
v
iew
o
f
s
ch
o
lar
ly
p
atter
n
s
an
d
th
eir
e
v
o
lu
tio
n
[
2
0
]
,
[
2
1
]
.
I
n
th
is
s
tu
d
y
,
b
ib
lio
m
etr
ic
m
eth
o
d
s
wer
e
u
s
ed
to
e
x
a
m
in
e
th
e
d
ev
elo
p
m
en
t
o
f
i
m
m
er
s
iv
e
tech
n
o
lo
g
ies,
p
a
r
ticu
lar
ly
V
R
an
d
AR
,
in
E
n
g
lis
h
lan
g
u
ag
e
ed
u
ca
tio
n
[
2
2
]
.
T
h
e
p
er
f
o
r
m
a
n
ce
an
aly
s
is
co
n
s
id
er
ed
p
u
b
licatio
n
o
u
tp
u
t,
citatio
n
p
atter
n
s
,
an
n
u
al
tr
en
d
s
,
in
f
lu
en
tial
au
th
o
r
s
,
m
ajo
r
jo
u
r
n
als,
an
d
co
n
tr
ib
u
tin
g
co
u
n
tr
ies
an
d
in
s
titu
tio
n
s
.
T
h
ese
in
d
icato
r
s
o
f
f
er
a
clea
r
e
r
p
ictu
r
e
o
f
th
e
f
ield
’
s
k
n
o
wled
g
e
s
tr
u
ctu
r
e
an
d
s
h
o
w
h
o
w
im
m
er
s
iv
e
tech
n
o
lo
g
ies
h
av
e
ev
o
l
v
ed
in
E
n
g
lis
h
lan
g
u
a
g
e
teac
h
in
g
an
d
lear
n
i
n
g
,
wh
ile
h
ig
h
lig
h
tin
g
p
o
te
n
tial
d
ir
ec
tio
n
s
f
o
r
f
u
tu
r
e
r
esear
ch
.
R
elev
an
t
p
ee
r
-
r
ev
iewe
d
jo
u
r
n
al
ar
ticles
wer
e
d
elib
er
ately
s
elec
ted
ac
co
r
d
in
g
to
p
r
ed
ef
i
n
ed
in
clu
s
io
n
cr
iter
ia.
T
h
e
an
al
y
s
is
r
elies
o
n
s
ec
o
n
d
a
r
y
d
ata
r
etr
iev
ed
f
r
o
m
th
e
W
eb
o
f
Sci
en
ce
(
W
o
S)
co
r
e
c
o
lle
ctio
n
,
w
ith
o
u
t in
v
o
lv
in
g
p
r
im
ar
y
d
ata
co
llectio
n
.
2
.
2
.
St
a
g
e
1
:
da
t
a
co
llect
io
n
T
h
e
cr
iter
ia
f
o
r
d
ata
co
llectio
n
ar
e
s
u
m
m
ar
ized
i
n
T
ab
le
1
.
A
ll
r
ec
o
r
d
s
wer
e
r
etr
ie
v
ed
f
r
o
m
th
e
W
o
S
co
r
e
c
o
llectio
n
,
s
elec
ted
f
o
r
its
b
r
o
a
d
d
is
cip
lin
ar
y
c
o
v
e
r
ag
e,
r
ig
o
r
o
u
s
in
d
ex
in
g
s
tan
d
ar
d
s
,
a
n
d
r
eliab
le
m
etad
ata
f
o
r
b
i
b
lio
m
etr
ic
r
esear
ch
[
1
7
]
.
T
h
e
s
ea
r
ch
f
o
c
u
s
ed
o
n
p
u
b
licatio
n
s
f
r
o
m
2
0
2
1
to
2
0
2
5
a
n
d
was
lim
ited
to
p
ee
r
-
r
ev
iewe
d
jo
u
r
n
al
ar
ticles
in
d
ex
ed
in
s
o
cial
s
cien
ce
s
citatio
n
in
d
ex
(
SS
C
I
)
,
s
cien
ce
citatio
n
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
I
mme
r
s
ive
tech
n
o
lo
g
y
in
E
n
g
lis
h
la
n
g
u
a
g
e
lea
r
n
in
g
:
a
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ib
lio
metric a
n
a
lysi
s
(
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o
u
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o
)
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in
d
ex
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p
an
d
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d
(
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I
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,
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e
m
er
g
in
g
s
o
u
r
ce
s
citatio
n
in
d
e
x
(
E
SC
I
)
.
Sear
ch
es
wer
e
co
n
d
u
cted
in
th
e
t
o
p
ic
f
ield
(
T
S),
wh
ich
in
cl
u
d
es
titl
es,
ab
s
tr
ac
ts
,
au
th
o
r
k
ey
wo
r
d
s
,
an
d
k
e
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r
d
s
p
lu
s
.
T
h
e
s
ea
r
ch
s
tr
in
g
u
s
ed
was:
T
S=(
(
“
im
m
er
s
iv
e
tech
n
o
lo
g
*
”
OR
“
v
ir
tu
al
r
ea
lity
”
O
R
“
VR
”
O
R
“
au
g
m
en
ted
r
ea
lity
”
OR
“
AR
”
)
AND
(
“
E
n
g
lis
h
ed
u
ca
tio
n
”
OR
“
E
n
g
lis
h
lear
n
in
g
”
OR
“
E
n
g
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ased
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3.
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1
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2
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e
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ib
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m
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M
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t
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24
Fig
u
r
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2
s
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5
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u
r
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2
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s
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2252
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(
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)
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f
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1
.
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d
b
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L
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n
an
d
W
a
n
g
[
2
5
]
,
w
h
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c
h
h
as
1
1
0
ci
tat
io
n
s
a
n
d
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s
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ch
as
Gu
o
an
d
Gao
[
2
6
]
an
d
Yo
r
k
et
a
l
.
[
2
8
]
,
f
u
r
th
er
ex
te
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th
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d
is
cu
s
s
io
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T
o
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m
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t
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r
Ti
t
l
e
s
C
i
t
e
s
TLS
C
h
e
n
e
t
a
l
.
[
2
4
]
V
i
r
t
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a
l
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a
l
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t
y
i
n
p
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Li
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[
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5
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o
[
2
6
]
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met
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a
[
2
7
]
A
n
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l
.
[
2
8
]
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f
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[
2
9
]
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.
[
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.
[
3
2
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3
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J
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Acc
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T
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,
E
d
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tio
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d
I
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m
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T
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h
n
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s
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t a
s
th
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f
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licatio
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v
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with
1
9
d
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m
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3
0
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citatio
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s
,
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n
d
th
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h
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est T
L
S o
f
2
,
4
7
8
.
T
h
is
jo
u
r
n
al
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as
th
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p
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tlet
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E
n
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lan
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lear
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,
p
ar
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tio
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p
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C
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n
ter
ac
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L
ea
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n
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E
n
v
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also
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p
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to
p
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h
s
u
b
s
tan
tial w
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r
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n
VR
-
,
AR
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,
an
d
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im
u
latio
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-
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ased
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lear
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in
g
.
T
ab
le
4
.
T
o
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1
0
m
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t c
ited
jo
u
r
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Jo
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D
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C
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TLS
Ed
u
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T
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Le
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32
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C
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M
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Fig
u
r
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3
f
u
r
th
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tr
ates
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e
co
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e
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I
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Fig
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Asi
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ies
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ely
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ased
E
n
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E
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o
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ap
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s
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ated
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s
ter
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o
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d
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llab
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ap
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icate
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E
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ip
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.
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I
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J
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&
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d
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N:
2252
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4.
DIS
CU
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T
h
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f
in
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ate
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g
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est
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A
R
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ased
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ly
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i
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g
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o
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ir
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ly
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e
d
d
ed
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in
m
ain
s
tr
ea
m
lan
g
u
ag
e
ed
u
ca
tio
n
r
esear
ch
.
T
h
is
tr
ajec
to
r
y
alig
n
s
with
em
p
ir
ic
al
wo
r
k
s
h
o
win
g
th
at
im
m
er
s
i
v
e
en
v
ir
o
n
m
en
ts
ca
n
s
u
p
p
o
r
t
k
ey
co
m
p
o
n
en
ts
o
f
lan
g
u
ag
e
lear
n
in
g
,
in
clu
d
i
n
g
r
ea
d
in
g
co
m
p
r
eh
e
n
s
io
n
an
d
v
o
ca
b
u
lar
y
d
ev
elo
p
m
en
t
[
3
4
]
,
[
3
5
]
.
A
co
n
s
is
ten
t
p
atter
n
am
o
n
g
th
e
m
o
s
t
in
f
lu
en
tial
p
u
b
licatio
n
s
is
th
e
em
p
h
asis
o
n
m
o
tiv
atio
n
,
em
o
tio
n
al
en
g
ag
e
m
en
t,
an
d
willin
g
n
ess
to
co
m
m
u
n
icate
.
AR
-
s
u
p
p
o
r
ted
v
o
ca
b
u
lar
y
an
d
g
am
e
-
b
ased
task
s
h
av
e
b
ee
n
f
o
u
n
d
to
h
eig
h
ten
cu
r
io
s
ity
an
d
s
elf
-
ef
f
icac
y
[
3
6
]
,
[
3
7
]
,
wh
ile
h
ig
h
-
im
m
er
s
io
n
VR
en
v
ir
o
n
m
en
ts
h
elp
r
ed
u
ce
f
o
r
eig
n
lan
g
u
ag
e
an
x
iety
an
d
e
n
h
an
ce
c
o
n
f
i
d
en
ce
in
co
m
m
u
n
icativ
e
p
er
f
o
r
m
an
ce
[
3
8
]
,
[
3
9
]
.
T
h
ese
r
ec
u
r
r
in
g
th
e
m
es
in
d
icate
th
at
af
f
ec
tiv
e
o
u
tco
m
es,
tr
ad
itio
n
ally
d
if
f
icu
lt
to
ad
d
r
ess
th
r
o
u
g
h
co
n
v
en
tio
n
al
class
r
o
o
m
in
s
tr
u
ctio
n
,
ar
e
b
ec
o
m
in
g
ce
n
t
r
a
l
to
im
m
er
s
iv
e
tech
n
o
lo
g
y
–
en
h
an
ce
d
lan
g
u
ag
e
lear
n
in
g
.
T
h
e
p
er
f
o
r
m
an
ce
a
n
aly
s
is
also
r
ev
ea
ls
u
n
ev
en
g
e
o
g
r
a
p
h
ical
d
is
tr
ib
u
tio
n
s
.
R
esear
ch
o
u
tp
u
t
is
co
n
ce
n
tr
ated
in
T
aiwa
n
,
m
ain
l
an
d
C
h
in
a,
an
d
th
e
Un
ited
States
,
wh
er
e
in
s
titu
tio
n
al
s
u
p
p
o
r
t
an
d
tec
h
n
o
lo
g
ical
in
f
r
astru
ctu
r
e
ar
e
co
m
p
a
r
ativ
ely
s
tr
o
n
g
.
W
h
ile
th
is
c
o
n
ce
n
tr
atio
n
r
e
f
lects
r
o
b
u
s
t
r
eg
io
n
al
r
esear
c
h
ec
o
s
y
s
tem
s
,
it
al
s
o
h
ig
h
lig
h
ts
d
is
p
ar
ities
in
ac
ce
s
s
to
im
m
er
s
iv
e
to
o
ls
.
Similar
co
n
ce
r
n
s
ab
o
u
t
u
n
e
q
u
al
d
ig
ital
ac
ce
s
s
h
av
e
b
ee
n
r
aised
at
th
e
g
lo
b
al
p
o
licy
le
v
el
[
4
0
]
,
wh
ich
alig
n
s
with
th
e
Un
ited
Natio
n
s
Su
s
tain
ab
le
Dev
elo
p
m
en
t
Go
al
s
(
SDG)
,
p
ar
ticu
lar
ly
SDG
4
(
q
u
ality
ed
u
ca
tio
n
)
an
d
SDG
1
0
(
r
e
d
u
ce
d
in
eq
u
alities
)
.
E
m
er
g
in
g
s
tu
d
ies in
r
u
r
al
o
r
r
e
s
o
u
r
ce
-
lim
ited
s
ettin
g
s
s
u
g
g
est th
at
m
o
b
ile
AR
ap
p
licatio
n
s
m
ay
m
itig
ate
s
o
m
e
o
f
th
ese
in
eq
u
alities
b
y
o
f
f
er
in
g
m
o
r
e
ac
ce
s
s
ib
le
p
ath
way
s
to
en
g
ag
em
en
t
[
4
1
]
,
[
4
2
]
.
Ho
wev
er
,
th
e
lim
ited
n
u
m
b
er
o
f
s
u
ch
s
tu
d
ies
s
u
g
g
ests
th
at
i
s
s
u
es
o
f
eq
u
ity
an
d
in
clu
s
io
n
r
em
ain
u
n
d
er
e
x
p
lo
r
ed
in
th
e
b
r
o
ad
e
r
r
esear
ch
lan
d
s
ca
p
e.
I
n
ad
d
itio
n
to
af
f
ec
tiv
e
b
en
e
f
its
,
im
m
er
s
iv
e
tech
n
o
l
o
g
ies
d
em
o
n
s
tr
ate
p
e
d
ag
o
g
ical
v
al
u
e
ac
r
o
s
s
m
u
ltip
le
lan
g
u
a
g
e
d
o
m
ain
s
.
VR
-
an
d
AR
-
m
ed
iated
t
ask
s
h
av
e
b
ee
n
s
h
o
w
n
to
s
u
p
p
o
r
t
lis
ten
in
g
co
m
p
r
eh
e
n
s
io
n
,
i
n
ter
cu
ltu
r
al
co
m
p
eten
ce
,
an
d
co
llab
o
r
ativ
e
p
r
o
b
lem
-
s
o
lv
in
g
[
4
3
]
,
[
4
4
]
.
VR
’
s
ab
ilit
y
to
s
itu
ate
lear
n
er
s
with
in
a
u
th
en
tic
co
m
m
u
n
icativ
e
s
ce
n
ar
io
s
ap
p
ea
r
s
p
a
r
ticu
lar
ly
im
p
o
r
ta
n
t
f
o
r
s
tr
en
g
th
e
n
in
g
p
r
ag
m
atic
awa
r
en
ess
an
d
f
lu
en
cy
.
T
h
ese
f
in
d
in
g
s
u
n
d
e
r
s
co
r
e
th
e
v
er
s
atility
o
f
im
m
e
r
s
iv
e
tech
n
o
lo
g
ies,
b
u
t th
ey
also
r
aise q
u
esti
o
n
s
ab
o
u
t w
h
en
an
d
f
o
r
w
h
o
m
th
es
e
to
o
ls
p
r
o
v
i
d
e
th
e
g
r
ea
test
b
e
n
ef
its
.
Desp
ite
d
em
o
n
s
tr
ated
ad
v
an
t
ag
es,
s
ev
er
al
ch
allen
g
es
lim
it
th
e
b
r
o
ad
er
ad
o
p
ti
o
n
o
f
i
m
m
er
s
iv
e
tech
n
o
lo
g
ies.
Hig
h
-
im
m
er
s
io
n
en
v
ir
o
n
m
e
n
ts
ca
n
g
en
er
ate
co
g
n
itiv
e
o
v
er
l
o
ad
,
p
ar
ticu
l
ar
ly
wh
en
lea
r
n
er
s
m
u
s
t
p
r
o
ce
s
s
d
en
s
e
m
u
lti
m
o
d
al
in
f
o
r
m
atio
n
[
4
5
]
.
T
ec
h
n
ical
co
n
s
tr
ain
ts
,
in
clu
d
in
g
d
e
v
ice
q
u
ality
,
co
n
n
ec
tiv
ity
,
an
d
u
s
ab
ilit
y
,
f
u
r
th
er
s
h
a
p
e
th
e
lear
n
in
g
ex
p
er
ien
ce
a
n
d
m
a
y
e
x
ac
er
b
ate
in
eq
u
ities
b
etwe
e
n
lear
n
er
s
with
d
if
f
er
in
g
le
v
els
o
f
ac
ce
s
s
[
4
6
]
,
[
4
7
]
.
T
h
ese
lim
itatio
n
s
p
o
in
t
t
o
th
e
n
ee
d
f
o
r
m
o
r
e
n
u
a
n
ce
d
in
s
tr
u
ctio
n
al
d
esig
n
t
h
at
alig
n
s
tech
n
o
lo
g
ical
af
f
o
r
d
an
ce
s
w
ith
lear
n
er
s
’
r
ea
d
in
ess
,
co
g
n
itiv
e
ca
p
ac
ities
,
an
d
p
ed
ag
o
g
ical
g
o
als.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
8
2
2
I
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t
J
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v
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&
R
es E
d
u
c
,
Vo
l
.
15
,
No
.
4
,
Au
g
u
s
t
20
26
:
3
6
2
3
-
3
6
3
5
3632
Fu
tu
r
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r
esear
ch
s
h
o
u
ld
th
er
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f
o
r
e
ex
p
l
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h
o
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lear
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p
r
o
c
ess
v
is
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al,
au
d
ito
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y
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an
d
in
ter
ac
tiv
e
cu
es
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im
m
er
s
iv
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e
n
v
ir
o
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m
en
ts
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with
p
ar
ticu
la
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atten
tio
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to
co
g
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itiv
e
ab
s
o
r
p
tio
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d
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tten
tio
n
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ca
tio
n
[
4
8
]
,
[
4
9
]
.
Mo
r
e
in
clu
s
iv
e
r
es
ea
r
ch
d
esig
n
s
ar
e
n
ee
d
e
d
t
o
a
d
d
r
ess
ac
ce
s
s
ib
ilit
y
f
o
r
y
o
u
n
g
er
lear
n
e
r
s
,
s
tu
d
en
ts
with
d
is
ab
ilit
ie
s
,
an
d
th
o
s
e
i
n
lo
wer
-
r
eso
u
r
ce
co
n
tex
ts
.
T
ea
ch
er
p
r
ep
a
r
atio
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r
ep
r
esen
ts
an
o
th
er
cr
itical
b
u
t
u
n
d
er
e
x
am
in
ed
a
r
ea
,
as
ef
f
e
ctiv
e
u
s
e
o
f
VR
an
d
AR
r
eq
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ir
es
p
ed
a
g
o
g
ical,
tech
n
ic
al,
an
d
class
r
o
o
m
-
m
an
ag
em
en
t
c
o
m
p
ete
n
cies
th
at
ar
e
n
o
t
y
et
well
in
teg
r
ate
d
in
to
p
r
o
f
ess
io
n
al
d
e
v
elo
p
m
en
t
p
r
o
g
r
am
s
[
5
0
]
.
Fin
ally
,
ass
ess
m
en
t
f
r
am
ewo
r
k
s
m
u
s
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ev
o
lv
e
t
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p
tu
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ex
p
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tial
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lear
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s
es
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at
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al
ass
ess
m
en
t to
o
ls
ca
n
n
o
t a
d
eq
u
ately
r
ef
lect.
5.
CO
NCLU
SI
O
N
T
h
e
b
ib
lio
m
et
r
ic
ev
id
e
n
ce
c
o
n
f
ir
m
s
th
at
im
m
er
s
iv
e
tech
n
o
lo
g
ies
h
a
v
e
em
er
g
ed
as
a
s
tead
ily
g
r
o
win
g
an
d
in
cr
ea
s
in
g
l
y
in
f
l
u
en
tial
ar
ea
with
in
E
n
g
lis
h
la
n
g
u
ag
e
ed
u
ca
ti
o
n
.
O
v
er
all,
th
e
f
in
d
in
g
s
ad
d
r
ess
th
e
r
esear
ch
o
b
jectiv
es
b
y
r
ev
ea
lin
g
th
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m
ajo
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p
u
b
licatio
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tr
e
n
d
s
,
d
o
m
in
an
t
r
esear
c
h
th
em
es,
a
n
d
k
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co
n
tr
ib
u
to
r
s
s
h
ap
in
g
im
m
er
s
iv
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tech
n
o
lo
g
y
r
esear
ch
in
E
n
g
lis
h
lan
g
u
ag
e
lear
n
in
g
.
T
h
eir
ca
p
ac
ity
to
en
h
an
ce
lear
n
er
s
’
m
o
tiv
atio
n
,
em
o
tio
n
al
en
g
a
g
em
en
t,
an
d
k
ey
lan
g
u
ag
e
s
k
ills
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well
s
u
p
p
o
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ted
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y
et
p
e
r
s
is
ten
t
d
is
p
ar
ities
in
ac
ce
s
s
,
tech
n
o
lo
g
ical
r
ea
d
in
ess
,
an
d
in
s
tr
u
ctio
n
al
in
teg
r
atio
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r
em
ain
e
v
id
en
t.
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v
in
g
f
o
r
war
d
,
r
esear
c
h
an
d
p
r
ac
tice
m
u
s
t
p
r
io
r
itize
in
clu
s
iv
e
d
esig
n
,
s
u
s
tain
ab
le
im
p
lem
en
tatio
n
s
tr
ateg
ies,
an
d
teac
h
er
-
o
r
ien
te
d
s
u
p
p
o
r
t to
en
s
u
r
e
th
at
VR
-
an
d
AR
-
b
ased
ap
p
r
o
ac
h
es c
o
n
t
r
ib
u
te
ef
f
ec
tiv
ely
to
d
iv
er
s
e
lear
n
in
g
en
v
ir
o
n
m
e
n
ts
.
As
im
m
er
s
iv
e
tech
n
o
lo
g
ies
ad
v
an
ce
,
th
eir
in
s
tr
u
ctio
n
al
f
u
n
ctio
n
s
ar
e
lik
ely
to
b
r
o
ad
e
n
,
o
f
f
er
in
g
n
ew
p
o
s
s
ib
ilit
ies
f
o
r
in
n
o
v
atio
n
i
n
lan
g
u
ag
e
teac
h
in
g
a
n
d
le
ar
n
in
g
.
Desp
ite
its
co
n
tr
ib
u
tio
n
s
,
s
ev
er
al
lim
itatio
n
s
s
h
o
u
ld
b
e
n
o
ted
.
First,
th
e
an
aly
s
is
was
co
n
d
u
cted
s
o
lely
u
s
in
g
p
u
b
licatio
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s
in
d
ex
ed
i
n
th
e
W
o
S
co
r
e
c
o
lle
ctio
n
,
wh
ich
m
a
y
h
a
v
e
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esu
lte
d
in
th
e
o
m
is
s
io
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o
m
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elev
an
t stu
d
ies.
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n
d
,
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e
s
ea
r
ch
s
tr
ateg
y
an
d
s
elec
ted
tim
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p
an
m
ay
h
av
e
ex
clu
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s
o
m
e
r
elate
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s
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ies.
I
n
a
d
d
itio
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,
th
is
s
tu
d
y
r
elied
e
x
clu
s
iv
ely
o
n
b
ib
lio
m
etr
ic
m
et
h
o
d
s
a
n
d
d
id
n
o
t
in
clu
d
e
em
p
i
r
ical
in
v
esti
g
atio
n
s
o
f
lear
n
in
g
o
u
tco
m
es.
Fu
tu
r
e
s
tu
d
ies
m
ay
ad
d
r
ess
th
ese
is
s
u
es
b
y
d
r
awin
g
o
n
m
u
ltip
le
d
atab
ases
,
im
p
r
o
v
in
g
s
ea
r
ch
s
tr
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an
d
in
teg
r
at
in
g
b
ib
lio
m
etr
ic
m
eth
o
d
s
wit
h
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ir
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o
r
q
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ap
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r
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m
p
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en
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u
n
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er
s
tan
d
in
g
o
f
im
m
e
r
s
iv
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tech
n
o
lo
g
ies in
E
n
g
lis
h
lan
g
u
ag
e
lear
n
in
g
.
ACK
NO
WL
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DG
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f
I
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n
ter
n
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Un
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ity
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Ma
lay
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r
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s
s
in
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ch
ar
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f
t
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u
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.
F
UNDING
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f
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AUTHO
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Evaluation Warning : The document was created with Spire.PDF for Python.