Internati
o
nal
Journal of Ele
c
trical
and Computer
Engineering
(IJE
CE)
Vol
.
4
,
No
. 3,
J
une
2
0
1
4
,
pp
. 44
7~
45
5
I
S
SN
: 208
8-8
7
0
8
4
47
Jo
urn
a
l
h
o
me
pa
ge
: h
ttp
://iaesjo
u
r
na
l.com/
o
n
lin
e/ind
e
x.ph
p
/
IJECE
A Smart E-Learning System for Social Networking
M.
R.
M. Veer
am
ani
c
k
a
m*
, N. R
a
dhi
k
a
**
*Departm
ent
of
Com
puter S
c
ien
ces
and
Eng
i
nee
r
ing, Ka
rpagam
Univers
i
t
y
**Departm
ent
of
Com
puter S
c
i
e
n
ces
and
Eng
i
nee
r
ing, Am
rit
a
Vis
h
wa Vid
y
ape
e
th
am
Article Info
A
B
STRAC
T
Article histo
r
y:
Received Feb 7, 2014
Rev
i
sed
Ap
r 3, 20
14
Accepted Apr 24, 2014
With the dev
e
lo
pment of Cloud
Computi
ng, the
popularity
of E learning
, th
e
increasing of so
cial network
i
ng
services
, Smart Cloud E-Learn
i
ng S
y
stem
with S
o
cia
l
Net
w
orking has
bec
o
m
e
a res
ear
ch t
opic.
The
char
ac
teris
t
i
c
s
of
E
learn
i
ng and
requirements of S
o
cial ne
tworkin
g
services in
environments
rais
e a ch
all
e
ng
e on building
an Ar
chitectur
e and Implementation quite
strong. In
this
paper, we
elabo
r
at
e a Smart Cloud E-Learning
S
y
stem with
Social Networking based on architectur
e level o
f
social network
i
ng and E
learn
i
ng cloud s
y
stem to supp
ort E l
earning
inter
actions in worldwide
environments.
A prototy
p
e o
f
Cloud
E-Learning S
y
stem
with Social
Networking is develop
e
d on cloud, and
sever
a
l applications
featur
es are
described b
a
sed
on the proposed
architectu
re to
d
e
monstrate
th
e effectiveness
of the
ar
chit
ec
tu
re.
Keyword:
E-Learning
Social Interacti
o
n
Social Lea
r
ni
ng
Social Net
w
orking
Copyright ©
201
4 Institut
e
o
f
Ad
vanced
Engin
eer
ing and S
c
i
e
nce.
All rights re
se
rve
d
.
Co
rresp
ond
i
ng
Autho
r
:
N. Ra
d
h
ika,
Depa
rt
m
e
nt
of
C
o
m
put
er Sci
e
nces a
n
d E
ngi
n
eeri
n
g,
Am
rita Vishwa
Vidy
a
p
eetham
,
Etti
m
a
d
a
i, Co
im
b
a
to
re, INDIA.
Em
a
il: n
_
r
ad
h
i
k
a
@cb
.
am
rita.ed
u
1.
INTRODUCTION
The
devel
o
pm
ent
o
f
C
l
o
u
d
C
o
m
put
i
ng a
n
d E l
e
a
r
ni
ng t
echn
o
l
o
gy
, sm
art
l
earni
ng
sy
st
em
can be
b
u
ild to
b
e
n
e
fi
t th
e stud
en
ts an
d facu
lty, b
y
u
s
ing
th
e uni
v
ersity and coll
ege
re
sources
and enha
nce le
arni
ng
syste
m
with proactive se
rvice
s
.
A
sm
art classroom
benefits
the teachi
n
g
proces
s equippe
d
with c
o
m
puter a
nd
audi
ovis
u
al de
vices (PC with internet acces
s) to a sm
art cam
pus; to crea
te a social relations am
ong friends
an
d p
e
op
le fo
r
sh
ari
n
g our in
t
e
rests, activ
ities. Basically
its u
s
e creatio
n
o
f
u
s
er
p
r
o
f
ile and
p
r
ov
id
es a v
a
riety
of
ser
v
i
ces.
Al
l
soci
al
net
w
o
r
ks a
r
e
web
-
bas
e
d
ap
p
lication
s
it u
s
es i
n
tern
et fo
r i
n
teraction.
A ser
v
i
ce i
s
b
a
sed o
n
i
n
di
vi
dual
as wel
l
a
s
gr
ou
p ce
nt
er
ed. C
o
m
m
uni
t
y
a servi
ce i
s
com
e
s unde
r
g
r
ou
p-cen
tered serv
ices. Basically i
t
’s allo
win
g
u
s
ers t
o
share th
eir
p
i
ctu
r
es, activ
ities, id
ea, ev
en
ts, and
po
st
am
ong i
n
terest
ed pe
ople in t
h
eir
network a
s
well as
com
m
unity. Face book like
are
very popular
a
m
ong
stu
d
e
n
t
s. Millio
n
s
of stud
en
ts sp
en
d
t
h
eir ti
mes in
lo
gg
ing th
ese sites, to
sh
are
and
co
mm
u
n
i
catin
g
with
th
eir
friends
. Nowa
days our lear
ning system la
ggi
ng in
usin
g social networks for ef
fect
ive teaching learni
ng
pr
ocesses
.
S
o
we nee
d
t
o
o
v
e
rcom
e pr
obl
e
m
s rel
a
t
e
d t
o
new a
r
c
h
i
t
ect
ure m
odel
,
way
of c
o
m
m
uni
cat
i
on,
shari
n
g
res
o
urc
e
s, a
n
d
ap
pl
i
cat
i
on set
u
p
i
n
cl
ou
d e
n
vi
r
onm
ent
s
Impor
t
ance
of Soci
al Ne
twork in E-Le
arn
i
ng
Soci
al
net
w
o
r
k
i
ng
wi
t
h
e l
ear
ni
n
g
w
h
i
c
h ca
n b
e
us
ed t
o
prom
otes the e
m
ergence
of E
-
learni
ng in
C
l
ou
d sy
st
em
. Di
ffe
rent
f
r
o
m
t
h
e norm
a
l
web
base
d e l
earni
ng sy
st
em
, Soci
al
l
earni
ng (
S
L
)
i
s
capabl
e
of
continuous, se
a
m
less accessing, allows
us
to obtain e learni
ng text
note
s
fr
om
the
millions of user i
n
real
world. “So
c
ial co
m
p
eten
ce i
n
th
e classroom
h
a
s b
een lin
k
e
d
with po
sitiv
e in
tellectu
a
l o
u
t
co
m
e
s. So
cial
e
m
otional learning com
p
etencies incl
ude s
e
lf aware
n
ess
,
social aware
n
ess, self m
a
nagem
e
nt, relations
hi
p
sk
ills, and
resp
on
si
b
l
e d
ecisio
n
m
a
k
i
n
g
.”[1] Th
ese ch
aracteristics sh
ow i
m
p
o
r
tan
ce
of em
o
tio
n
a
l le
arn
i
n
g
o
u
t
co
m
e
s. E learn
i
n
g
is essential in
sm
art le
arn
i
n
g
en
vironment, where
the Cloud sy
stem
with social
network
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
088
-87
08
IJEC
E V
o
l
.
4, No
. 3,
J
u
ne 2
0
1
4
:
44
7 – 4
5
5
44
8
E learning application plays a
n
im
porta
nt rol
e
in reaching m
o
re num
ber of st
ude
n
ts use
r
to actively ta
ke part
in learning a course. T
h
e emerge
nce
of
th
e so
cial n
e
tw
orkin
g
supp
or
t e l
earni
ng system effectively to
make
pos
si
bl
e i
n
t
e
ra
ct
i
ons am
on
g
m
u
lt
i
p
l
e
st
ude
nt
s
user
i
n
net
w
o
r
k
.
A
pr
ot
ot
y
p
e sy
st
em
can
be
pr
o
pose
d
on
t
h
i
s
e
learning cl
oud
with s
o
cial net
w
ork to m
a
ke user ex
pe
rienc
e
the learning
pro
cess
in t
h
e
virtual
world.
Now d
a
y's so
cial n
e
twork
s
p
l
ay v
ital ro
le in
ev
ery
o
n
e
life. It will b
eco
m
e
u
n
a
vo
id
ab
le in n
ear fu
ture
l
i
k
e
m
obi
l
e
ph
one
.
W
e
ca
n i
n
t
e
grat
e t
h
i
s
s
o
c
i
al
net
w
o
r
k
wi
t
h
e
l
e
a
r
ni
ng e
n
vi
r
onm
ent
s
fo
r
bet
t
e
r l
earni
ng
an
d
teaching. So,
we nee
d
LMS
m
e
thodolog
y to integrate s
o
cial
m
e
dia with
e
lea
r
ni
ng. Doing so its inc
r
eases
l
earner c
ont
i
n
uo
us by
l
ear
ni
n
g
wi
t
h
ret
e
nt
i
on
of s
u
b
j
ect
kn
o
w
l
e
d
g
e
i
n
l
earni
n
g
appl
i
cat
i
on
usi
n
g
co
llab
o
ration
t
o
o
l
s. Still we are lagg
ing
i
n
p
r
o
v
i
d
i
ng
e
fficien
t SNS
b
a
sed
E- Learn
i
n
g
sy
ste
m
to
learn
e
r.
“An a
d
a
p
t
i
v
e s
y
st
em
m
odi
fi
es i
t
s
sol
u
t
i
o
ns
t
o
a p
r
o
b
l
e
m
based
on
vari
ou
s fact
o
r
s, f
o
r i
n
st
ance t
h
e
learn
e
rs’ prev
io
u
s
exp
e
rien
ce with
th
e syste
m
. Ad
ap
tiv
e an
d
In
tellig
en
t
W
e
b-Based Ed
u
cation
a
l Syste
m
(AIW
BES) is
a m
i
x
t
u
r
e of ad
ap
tiv
e
h
y
p
e
rmed
ia tech
no
l
o
g
i
es and
i
n
tellig
en
t tu
t
o
ri
n
g
techn
o
l
o
g
i
es.
It also
co
n
t
ains ad
ap
tiv
e in
fo
rm
atio
n filterin
g
,
in
tellig
en
t m
o
n
ito
rin
g
an
d
i
n
tellig
en
t co
llabo
rati
v
e
learn
i
n
g
.”[2] Th
is
clearly status that im
portant
of
teachi
ng a
n
d learni
ng
using ne
w ada
p
tiv
e
m
odern technol
ogy es
pecially
like
E-Learning syste
m
.
E-Learnin
g
to Soci
al Ne
tworks
Naturally shari
n
g using-post
takes
places in the
re
gular ac
tivity of social
m
e
dia user. This
will be
adde
d a
dva
nt
a
g
e o
f
sha
r
i
n
g o
u
r c
o
u
r
se wi
t
h
ot
he
r st
u
d
ent
'
s user
usi
n
g-
p
o
st
l
i
nk. S
o
, we c
a
n creat
e l
i
k
e t
h
i
s
t
o
pr
om
ot
e l
earne
r
pl
at
fo
rm
usi
ng s
o
ci
al
m
e
di
a.
Soci
al
Ne
tw
or
ks t
o
E
-
L
e
ar
n
i
ng
Th
is will allo
w u
s
to
po
st front-p
ag
e n
e
ws inform
at
io
n
relat
e
d
to
our el earn
i
ng
cou
r
se and
co
m
p
an
y
bra
n
d pr
om
ot
ions
usi
n
g soci
al
m
e
di
a pl
at
f
o
rm
s. B
a
si
c pur
p
o
se of t
h
i
s
t
o
keep o
u
r
user t
o
kn
ow
abo
u
t
com
p
any brand a
n
d updating of ne
w c
o
urse
continuously. “The recent e
m
er
gence
of
online s
o
cial ne
tworks
enable
d by social networki
ng software
, such as Face book
or Google
Plus, res
u
lted
in rene
we
d interest in
social net
w
orks in e
-
learning
researc
h
.”
[3]
L
e
arni
n
g
O
u
t
c
omes
usi
n
g S
o
ci
al
L
e
arni
n
g
Fi
gu
re
1.
S
o
ci
al
Learni
ng
E
ffe
ct
s o
n
Lea
r
ni
n
g
Out
c
om
es
Th
is
d
i
agram
su
gg
ests th
at i
m
p
o
r
tan
ce an
d u
s
e of
so
cial
n
e
twork
i
n
g
fo
r E-learn
i
n
g
resu
lting
t
o
prom
ote teaching a
nd
learni
ng
for learner to increase l
earni
ng
outcomes and effe
cts. Social ne
twork
part
i
c
i
p
at
i
o
n enci
rcl
e
fact
o
r
f
r
am
ework
l
i
k
e aut
h
ori
ng t
o
ol
s
,
st
ude
nt
s asses
s
m
e
nt
,
t
i
m
e
durat
i
o
n
,
fre
q
u
en
cy
of
v
i
sit. Stud
en
ts u
s
er
g
e
n
e
ratio
n u
s
ed in
p
r
o
f
ile settin
g
s
an
d custo
m
ize
,
stru
cture
o
f
so
cial
n
e
twork by
com
m
uni
t
y
grou
ps a
n
d net
w
or
k si
ze.
Gam
i
fi
cat
i
on st
u
d
i
e
s
hel
p
us l
ear
n t
h
r
o
ug
h si
m
u
l
a
ti
on a
nd
pl
ay
,
m
obi
l
e
appl
i
cat
i
o
n
gi
v
e
s i
m
port
a
nce
of
usi
n
g
m
obi
l
e
use
r
t
o
de
pl
o
y
ou
r a
p
pl
i
cat
ion
t
o
l
e
a
r
n
.
Learni
ng
o
u
t
c
o
m
es gi
ve
way
of e
nga
gi
n
g
l
e
arne
r use
r
an
d
im
port
a
nce
of
pu
bl
i
s
h t
h
ei
r st
udy
n
o
t
e
s t
o
othe
r'
s learning proces
ses, perseve
r
a
n
ce of learning
ob
j
e
ctiv
es. Con
n
e
ctiv
ity o
f
m
u
lti
p
l
e u
s
ers to
mak
e
learning environm
ent live cla
ssroom
e
ffects. “Asia has the
highest growth
rate for eLearning in the
world at
1
7
.3%. Rev
e
nu
es reach
e
d
$5.2
b
illio
n
in
201
1
and
will
mo
re th
an
d
oub
le to
$1
1.5
b
illio
n
b
y
20
16
.
Asia will
be the top buying re
gion thro
ughout the forecast period.”
[4] This rese
a
r
c
h
re
ports show us re
venues growth
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
ECE
I
S
SN
:
208
8-8
7
0
8
A S
m
art
E-
Lea
r
ni
n
g
Syst
em
f
o
r
So
ci
al
N
e
t
w
orki
n
g
(
N
. R
a
d
h
i
k
a)
44
9
o
f
E learn
i
ng
ex
p
ected
do
uble o
f
ex
istin
g
fig
u
re in
20
11
.
Th
is will reflect in
d
e
v
e
lop
i
ng
e learn
i
ng
pro
d
u
c
t
esp
ecially if it
’s b
a
sed
on
SNS st
ructure.
“Vietnam
and Malaysia have
t
h
e t
op hi
gh
est
gro
w
t
h
rat
e
s fo
r
eLearni
ng
pr
o
duct
s
i
n
t
h
e w
o
rl
d at
44.
3%
and 3
9
.
4
%, r
e
spect
i
v
el
y
.
T
h
ai
l
a
nd, t
h
e P
h
i
l
i
ppi
nes
,
C
h
i
n
a, an
d
In
di
a are al
so
i
n
t
h
e t
op t
e
n
cou
n
t
r
i
e
s wi
t
h
t
h
e hi
g
h
est
gr
o
w
t
h
rat
e
s o
n
t
h
e pl
anet
.
”
[
4
]
Am
ong Asi
a
n
regi
on
In
di
a al
so i
n
l
eadi
n
g t
op
10 c
o
u
n
t
r
i
e
s. It
s re
fl
ect
im
port
a
nc
e of E l
earni
n
g
appl
i
cat
i
on f
o
r fut
u
re. C
o
m
p
ari
n
g
ot
he
r co
unt
ri
es Vi
et
nam
and M
a
l
a
y
s
i
a
grow
t
h
rat
e
i
s
abn
o
r
m
a
l arou
n
d
4
0
% by
ot
her c
o
u
n
t
r
i
e
s rat
e
r
e
l
a
t
i
v
e
v
e
ry l
o
w with th
is fi
g
u
re.
Smart
Classr
oom
:
Im
portan
ce
The sm
art clas
sroom
takes a
key step in the
deve
lopm
ent of sm
art e lear
ning syste
m
. Teaching is
m
o
st i
m
portant activities in traditional learni
ng proce
ss fo
r
colleges
and
uni
versities. So this ca
n
be re
placed
w
ith
sm
ar
t e lear
n
i
n
g
system
in
so
cial n
e
t
w
or
k
i
n
g
.
I
n
th
e syste
m
ev
er
yone is eq
u
i
p
p
e
d
w
ith
d
e
v
i
ces lik
e PC
,
PDA, m
obile phone or table
t
to
access E
learning social network.
By
enabling access for m
u
ltiple users
naturally it create huge
network. On
ce network is huge then sha
r
ing of
res
o
urces
will take places. This
pr
ot
ot
y
p
e
can
be
use
d
t
o
m
a
ke avai
l
a
bl
e m
o
re
num
ber
of
s
u
b
j
ect
not
es
,
vi
deo
-
a
udi
o l
ect
ure
,
ppt
sl
i
d
e
s
..
.Et
c
.
E lea
r
ning
- SNS A
p
p
lica
tion app
ea
ra
nce
b
a
s
ed o
n
fo
llowing
ca
tego
ries lik
e
E l
e
ar
ni
n
g
Res
our
ces
Resource ca
n
be s
h
are
d
am
ong us
er like
ppt slides, audi
o-vide
o lecture, Im
ages,
f
ile to s
p
ecific
us
ers
or
with
in
t
h
eir
gro
u
p
s
.
Po
st N
o
tifica
t
i
o
n
We c
oul
d
receive
post like c
o
urse
link or
c
o
urse
inform
atio
n
from
other
us
er.
Co
mm
un
ity o
r
G
r
oup
s
To m
a
ke rel
a
t
i
o
n
am
ong
ot
he
r us
er
usi
n
g c
o
m
m
uni
t
y
or g
r
ou
ps t
o
becom
e
fri
e
nd a
n
d
gr
ou
p m
e
m
b
er o
f
ot
her
co
mm
u
n
ity.
Ot
her
Servi
c
e
Social learning services
based on
gam
e
s t
h
ro
ug
h
Gam
i
fi
cat
ion
st
u
d
i
e
s
2.
RELATED
WORK
Thi
s
rel
a
t
e
d st
udi
es s
h
ows a
ppl
i
cat
i
o
n are
use
d
i
n
sn
s, ed
ucat
i
onal
fi
el
d,
shari
ng a
p
pl
i
cat
i
on al
l
are
use
d
for their specific
purpose
only
. So
, we
n
e
ed
to
relate th
eir i
m
p
o
r
tan
ce in
o
u
r So
cial Learn
i
n
g
ap
p
lication
.
Ex
istin
g Ap
p
licatio
n
h
a
s t
o
b
e
in
tegrated
i
n
so
m
e
sp
ecific
fun
c
tion
a
lities arch
itecture mo
d
e
l t
o
make use
effec
tive SNS se
rvi
ces in E
lear
ning application.
SNS
Us
age Le
vel in Ed
ucation
Field
Edu
cato
r
s can u
s
e SNS as a sep
a
rate serv
i
ce o
r
fun
c
tionalities co
v
e
r en
tire system o
f
SNS with
LM
S. SN
S use
d
i
n
Ed
ucat
i
o
n
a
l
can be de
fi
n
e
d di
f
f
ere
n
t
m
a
nne
r.
Usi
n
g S
N
S as a m
e
di
a
fo
r l
earni
ng l
i
k
e cl
ass
room
activities
.
It
m
a
y be an act as support
ive syst
em
to pass inform
ation am
ong thei
r entire stude
nts user
related to pa
rticular c
o
urse
by using
face
book
or
twitter. Speci
fic de
voted SNS
network
ca
n be used for
ca
m
p
u
s
es and
learn
i
ng
activ
ities. W
e
can
use SNS with
LMS fun
c
tio
nalists to
i
m
p
r
ov
e th
eir efficien
cy o
f
SNS
serv
ices. Th
is will
b
e
fu
t
u
re of e learn
i
ng
also
.
Joi
n
.
Me
-
W
eb
i
n
ar
“joi
n.m
e
i
s
a sim
p
l
e
but
po
w
e
rf
ul
screen s
h
ari
n
g t
ool
. T
h
e
pro
d
u
ct
i
s
secure
, i
nde
fi
ni
t
e
l
y
scal
abl
e
,
meets o
r
ex
ceed
s
9
9
.99
%
up
ti
m
e
, an
d is u
s
ab
le with
in
second
s o
f
v
i
sitin
g th
e
j
o
i
n
.m
e web
s
it
e
joi
n
.m
e
com
b
ines instant screen sha
r
in
g an
d p
o
we
rf
ul
m
e
et
i
ng t
ool
s i
n
a
n
ap
p t
h
at
any
one ca
n use t
o
prese
n
t
,
train,
dem
o
or concept.
join.me
is
designed to be intuitive and accessi
ble,
providi
n
g features t
h
at you'l
l
use
ev
er
y
d
a
y fo
r
ev
er
yth
i
n
g
fr
om
sh
o
w
-
a
nd
-
t
ell to
f
o
r
m
al
p
r
esen
tatio
n
s
.”[5] Basically
Social
learning based on
vari
ous
t
ech
ni
que
es
peci
al
l
y
co
nce
p
t
o
f
webi
nar
us
ed
fo
r m
a
ki
ng
vi
rt
ual
cl
ass
r
o
om
envi
r
onm
ent
f
o
r
prese
n
ting a
n
d
to t
each about subject.
Sclipo
- Online Ca
mpus Pl
atfo
rm
“A Scl
i
po
Onl
i
ne C
a
m
pus pr
o
v
i
d
es e-
Lear
ni
ng
, soci
al
net
w
or
k an
d p
r
om
ot
i
onal
appl
i
cat
i
ons t
o
hel
p
l
earn, t
eac
h a
nd c
o
l
l
a
b
o
rat
e
as wel
l
as t
o
pr
om
ot
e educ
at
i
onal
ser
v
i
c
e
s
an
d t
o
at
t
r
ac
t
new st
ude
nt
s
.
Th
e
Onl
i
n
e C
a
m
p
u
s
i
s
a Learni
n
g
M
a
nagem
e
n
t
Sy
st
em
(LM
S
), al
so
kn
o
w
n as a Vi
rt
ual
C
a
m
pus or
Vi
rt
ual
Learni
ng E
n
vi
ronm
ent (VLE
) or Course M
a
nagem
e
nt Sy
ste
m
(CMS), provi
ding we
b a
pplications to teach,
collaborate and adm
i
nister activities,
stude
nts and teache
r
s, as
well as to prom
ote educational servic
es.” [6]
App
licatio
n like sclip
o pro
v
i
des im
p
o
r
tan
ce
o
f
so
cial learn
i
n
g
in
n
e
ar
fu
t
u
re
b
y
fo
cusing on
co
llab
o
ratin
g
LMS and
LCMS to SNS for creatio
n of smart
Social
Learning
App
licatio
n in
Cl
o
u
d
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
088
-87
08
IJEC
E V
o
l
.
4, No
. 3,
J
u
ne 2
0
1
4
:
44
7 – 4
5
5
45
0
TeacherTube
“Teache
r
Tube
is a vide
o sha
r
ing we
bsite similar to,
and
base
d on,
YouTube. It is
des
i
gne
d to all
o
w
those
in t
h
e e
d
ucational
indu
stry, pa
rticularly teachers,
t
o
share
educational res
o
urces
s
u
ch as
vide
o,
audi
o,
doc
um
ents, photos
,
groups a
nd
blogs
.
”[7] Like YouT
ube
this teacher tube is
use
d
for sha
r
ing e
d
uc
ational
vi
de
o c
ont
e
n
t
t
h
r
u
we
bsi
t
e
t
o
ot
he
r l
ear
ner
.
So t
h
i
s
ca
n
be
i
n
g
r
at
e i
n
t
o
o
u
r
sm
art
soci
al
l
eani
n
g a
p
pl
i
cat
i
on t
o
m
a
ke efficie
n
t
data s
h
aring a
m
ong m
u
ltiple users
.
3.
PROP
OSE
D
METHO
D
3.
1.
S
o
ci
al
L
e
arni
n
g
Appl
i
c
ati
o
n:
S
N
S
(
S
oci
a
l
N
e
t
w
orki
ng
Se
rvi
ce)
So
cial Learn
i
ng
ap
p
lication
i
s
ch
alleng
ing
t
a
sk
t
o
in
teg
r
at
e v
a
riou
s
fun
c
tio
n
a
lities in
on
e system
.
Propo
sed
Arch
itectu
r
e m
o
d
e
l will b
e
u
tiliz
in
g
th
ese
feat
u
r
es an
d
p
a
rameters to
create effectiv
e mo
d
e
l to
im
ple
m
ent in social learni
ng s
y
ste
m
.
3.
2.
L
e
ar
ni
ng
M
a
n
age
ment
Sys
t
em:
L
M
S
“A
Lea
r
ni
ng
M
a
nagem
e
nt
Sy
st
em
(LM
S
)
i
s
a
s
o
ft
wa
re ap
pl
i
cat
i
o
n
f
o
r t
h
e a
d
m
i
ni
st
rat
i
on,
doc
um
ent
a
t
i
o
n
,
t
r
ac
ki
n
g
,
rep
o
r
t
i
n
g
an
d
del
i
v
ery
o
f
e
-
l
earni
ng
ed
ucat
i
o
n c
o
u
r
ses
o
r
t
r
ai
ni
ng
p
r
og
ram
s
.”[8]
Imp
o
rtan
ce o
f
LMS
f
u
n
c
tio
nality
We should cre
a
te way of m
a
nagi
ng
use
r
s, l
earne
r,
teache
r
, and adm
i
nistrato
rs, by
way of
assi
gni
ng
ro
les and
respon
sib
ility o
f
each
an
d its asp
ect
s of LMS
B
y
way
o
f
c
r
ea
t
i
ng
gr
o
ups
o
f
l
earne
rs a
n
d i
n
s
t
ruct
o
r
s,
assi
g
n
r
o
l
e
s t
o
t
h
at
c
o
m
m
uni
t
y
Ap
pl
i
cat
i
on
sh
oul
d ca
paci
t
y
t
o
del
i
v
er l
e
a
r
n
i
ng m
a
t
e
ri
al
t
h
ro
u
gh e
ffi
ci
e
n
t
t
echni
que
s.
A
n
d
,
al
so
f
o
r
assessm
en
ts o
f
learn
e
r lev
e
l.
Upd
a
tes
o
f
th
ei
r regu
lar activ
i
ties ev
ery tim
e.
R
e
po
rt
s
gene
ra
t
i
on
on
l
ear
ner
l
earni
n
g
l
e
vel
t
o
un
de
rst
a
n
d
t
h
ei
r
pr
o
g
re
ss a
n
d
bec
o
m
e
m
a
st
ery
o
f
t
h
at
subject.
At
any
poi
nt
l
earne
rs s
h
oul
d
abl
e
t
o
c
o
m
m
uni
cat
e t
h
ei
r c
once
r
n co
u
r
se
i
n
st
ruct
ors
t
o
c
l
ari
f
y
d
o
u
b
t
fo
r ful
l
un
der
s
t
a
ndi
ng
s
u
b
j
ect
s.
“
LMS Fun
c
tion
a
lity
Co
urse C
o
n
t
ent Deliv
ery
St
ude
nt
R
e
gi
st
rat
i
o
n
an
d
A
d
m
i
ni
st
rat
i
o
n
Trai
ni
n
g
Eve
n
t
M
a
na
gem
e
nt
(i
.e., sc
he
dul
i
n
g
,
t
r
ac
ki
n
g
)
C
u
r
r
i
c
ul
um
an
d C
e
rt
i
f
i
cat
i
o
n
M
a
nagem
e
nt
Sk
ills and
C
o
m
p
eten
cies Man
a
g
e
m
e
n
t
Sk
ill Gap
An
al
ysis
In
di
vi
dual
De
v
e
l
opm
ent
Pl
an
Rep
o
rtin
g
Trai
ni
n
g
R
e
c
o
r
d
M
a
nagem
e
nt
C
o
u
r
sew
a
re A
u
t
h
ori
ng”
[9]
3.
3.
L
e
ar
ni
ng
C
o
nte
n
t
M
a
n
age
ment
S
y
ste
m
: L
C
MS
C
e
nt
ral
ob
ject
dep
o
si
t
o
ry
i
s
u
s
ed t
o
st
ore,
r
e
use,
m
a
nage
and
d
e
l
i
v
er
co
nt
ent
of
E l
e
a
r
ni
n
g
base
d
su
bj
ect exp
e
rts, learn
e
r, au
t
hor,
d
e
v
e
lop
e
r
b
e
co
m
i
n
g
m
u
lti u
s
er en
v
i
ron
m
e
n
t system
fro
m LMS to LCM
S
.
“LCMS fo
cu
ses on
th
e d
e
velo
p
m
en
t, m
a
n
a
g
e
m
e
n
t
and
pu
b
lish
i
n
g
of th
e co
n
t
en
t th
at will typ
i
cally b
e
delivere
d
via a
n
LMS.”
[10]
“LCMS Fu
n
c
ti
o
n
a
lity
Tem
p
late-d
riven
,
C
o
llabo
rati
v
e
C
o
n
t
en
t Dev
e
lop
m
en
t
Facilitated
Co
nten
t Man
a
g
e
men
t
(i.e., i
n
d
e
x
i
n
g
and
reu
s
e)
Pub
lish
i
ng
W
o
rk
f
l
ow
In
teg
r
ation
Aut
o
m
a
ted
Int
e
rface with an LM”
[9]
Th
ese
fu
n
c
tionalities are u
s
ed to
b
i
nd
LMS an
d SNS t
o
crea
te So
cial learn
i
n
g
app
licatio
n
o
n
clou
d system
. Its
naturally expla
i
ns a
b
out
way
of teaching a
n
d
learning
proc
ess in te
rm
of
SNS system
.
3.
4.
S
o
ci
al
L
e
arni
n
g
usi
n
g
SNS
A
ppl
i
c
ati
o
n
“You ca
n connect and learn
from
others wi
thout ev
er l
e
a
v
i
ng y
o
u
r c
h
ai
r
.
Two
fasci
n
at
i
ng l
ear
ni
n
g
aspects
of this
connection a
r
e
that we ca
n:
Get an in
si
d
e
l
o
ok
i
n
to
wh
at
an
d how
p
e
op
l
e
ar
e lear
n
i
n
g
Sha
r
e y
o
u
r
t
h
o
u
g
h
t
s
a
n
d e
nga
ge
wi
t
h
ot
he
rs”
[
11]
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
ECE
I
S
SN
:
208
8-8
7
0
8
A S
m
art
E-
Lea
r
ni
n
g
Syst
em
f
o
r
So
ci
al
N
e
t
w
orki
n
g
(
N
. R
a
d
h
i
k
a)
45
1
Social learning like application calle
d
E-learning in Social networks
shoul
d m
o
re accessi
ble to everyone and
becom
e
part
o
f
t
h
ei
r l
ear
ni
n
g
p
r
oces
ses
by
near
f
u
t
u
re.
So
, we
have
t
o
d
e
vel
o
p t
ool
s
s
u
ch
l
i
k
e t
h
at
t
o
hel
p
t
h
em
i
n
l
earni
ng
p
r
oces
ses
m
a
ke i
t
sim
p
le. B
y
sub
j
ect
expe
rt
s,
we ar
e t
r
y
i
ng t
o
gi
ve s
o
l
u
t
i
o
n o
r
cou
r
se
co
n
t
en
t wh
ich
will b
e
av
ailable i
mmed
i
ately
to
all u
s
ers i
n
th
at so
cial learn
i
ng
ap
p
lication
u
n
d
e
r th
eir
group
s.
So t
h
i
s
re
d
u
ce
pr
o
b
l
e
m
of p
ubl
i
s
hi
n
g
c
ont
ent
t
o
reac
h
thr
oug
h
on
lin
e easily b
y
do
ing so
w
e
can
m
o
r
e
an
d
m
o
re num
ber
o
f
val
u
a
b
l
e
l
ear
ner
f
r
om
al
l
t
h
e use
r
s
of
t
h
at
soci
al
net
w
o
r
k
s
.
3.
5.
S
o
ci
al
L
e
arni
n
g
:
Imp
o
r
t
an
ce
“
As a
n
I
ndi
vi
d
ual
N
o
m
a
t
t
er ho
w m
u
ch
yo
u know
, y
o
u still n
e
ed
o
t
h
e
rs in order to learn.
No m
a
t
t
er ho
w in
d
e
p
e
n
d
e
n
t
y
o
u are, you
still n
eed o
t
h
e
rs in ord
e
r to learn
.
No
m
a
tter h
o
w
v
a
lu
ab
le you
th
ink
yo
ur kn
owledg
e is in
side yo
u
r
h
e
ad
, it’s
m
o
re v
a
lu
ab
le wh
en
yo
u
share
wi
t
h
ot
he
rs.
As a Lea
r
n
i
ng
Pro
f
essiona
l
Ho
w
d
o
y
o
u
t
h
i
n
k i
t
w
o
ul
d
feel
f
o
r
a s
o
m
e
one
w
h
o
was
a reci
pi
ent
of
y
o
u
r
l
e
a
r
ni
ng
sol
u
t
i
o
n
i
f
i
t
didn’t i
n
volve
social learning?
Th
e so
cial
n
e
tw
or
k
p
r
o
v
i
d
e
s f
a
r m
o
r
e
learn
i
ng
th
an you
ev
er cou
l
d,
h
o
w
can
you
u
s
e th
is in your
so
lu
tion
s
?
If y
o
u
l
ear
n m
o
re
by
i
n
v
o
l
v
i
n
g
ot
he
rs, c
o
nsi
d
er
t
h
at
t
h
i
s
i
s
t
r
ue
fo
r
ot
he
rs
t
oo.”
[
12]
As a l
earne
r w
e
can u
nde
rst
a
nd i
m
port
a
nce
of s
o
ci
al
l
earni
ng
by
as an i
n
di
vi
d
u
al
an
d l
earni
ng f
r
o
m
m
u
lt
i
p
l
e
pr
ofe
ssi
onal
s
k
n
o
wl
edge
hel
p
s
y
o
u
t
o
c
o
m
e
for
u
nde
rst
a
ndi
ng
eve
n
t
o
u
g
h
c
once
p
t
ca
n
be
l
earn
t
through help
of othe
rs. Social networ
k services allow us to create an account
that ide
n
tifies users. T
h
e
n
it will
al
l
o
w us
t
o
com
m
uni
cat
e
t
o
ot
hers
t
h
rough that ac
count as
wel
l
as gr
o
up
o
r
com
m
uni
t
y
bas
e
d
com
m
uni
cat
i
on. B
e
i
n
g m
e
m
b
ers
o
f
g
r
ou
ps
i
t
al
l
o
ws us t
o
use se
rvi
ces
of
fere
d
by
t
h
at
g
r
o
u
p
s. S
o
we c
a
n u
s
e
it.
W
h
en
req
u
i
red
for
n
e
w serv
ices th
en
first
b
eco
m
e
m
e
m
b
er
o
f
t
h
at gro
u
p
to u
tilize it.
App
licatio
n
syste
m
sh
ou
ld
o
f
fer t
o
create e-learn
i
ng
no
tes
an
d m
a
terials
u
s
ing
m
u
lti
m
e
d
i
a with its
t
ool
s.
An
d, al
s
o
sh
o
u
l
d
al
l
o
w
us t
o
devel
op
di
ffe
re
nt
asses
s
m
e
nt
m
e
t
hod
t
o
im
pl
em
ent
.
LM
S an
d LC
M
S
are
use
d
t
o
de
pl
oy
t
h
ese m
e
t
hods
and
t
ech
ni
q
u
e t
o
be
onl
i
n
e
i
n
SNS
ap
pl
i
cat
i
on.
“Th
e
ir go
al
in creatin
g
th
is
st
an
d
a
rd
was
to ach
iev
e
t
h
e fo
l
l
o
w
ing
u
tilities
Accessib
ility:
The a
b
ility to locate and acce
ss instructional co
m
pone
nts
from
one rem
o
te location and
delive
r
t
h
em
t
oo m
a
ny ot
he
r l
o
cat
i
o
n
s
.
Ada
p
t
a
b
ility:
Th
e ab
ility to
tailo
r i
n
stru
ctio
n
to
ind
i
v
i
du
al an
d org
a
n
i
zation
a
l n
e
ed
s.
Affo
rda
b
ility:
Th
e ab
ility to
in
crease efficien
cy and
productiv
ity b
y
red
u
cin
g
th
e tim
e a
n
d
co
sts inv
o
l
v
e
d
i
n
d
e
liv
eri
n
g in
stru
ctio
n.
Du
rab
ility:
Th
e ab
ility to
with
stand
t
ech
no
log
y
evo
l
u
tion
an
d
ch
ang
e
s
witho
u
t
co
stly red
e
sign
,
reco
nfi
g
u
r
at
i
o
n or
rec
odi
ng
.
In
tero
p
e
rab
ility:
The
ability to take i
n
structional c
o
m
pone
nts de
velope
d in one loc
a
tion
with one set
of tool
s
or
pl
at
f
o
rm
an
d
uses t
h
em
i
n
anot
her
l
o
cat
i
o
n
wi
t
h
a
di
f
f
ere
n
t
set
of t
ool
s
or
pl
at
f
o
rm
.
Reu
s
a
b
ility:
T
h
e flexi
b
ility to inc
o
rporate in
structional c
o
m
ponents in
m
u
ltiple
applications a
nd c
o
ntexts.”
[13
]
Th
ese u
t
ilit
ies u
s
ed
to create
m
ech
an
ism
fo
r d
e
liv
eri
n
g
E-learnin
g
m
a
terials
for learn
e
r in SNS
ap
p
lication
.
4.
SOCI
AL LE
A
RNI
NG
A
P
P
L
ICATI
O
N
A
R
C
H
ITECT
U
RE
MO
DEL -
(Analysis Met
h
od)
4.
1.
Step
s involved
in So
cia
l
Lea
r
ning
A
p
p
lica
tio
n: SNS
C
r
eat
i
on o
f
acc
ou
nt
User aut
h
entic
ation
C
r
eat
i
on o
f
gr
o
ups
M
a
nagi
ng
g
r
o
u
p
s – Ide
n
t
i
f
y
,
Ad
d,
R
e
m
ove m
e
m
b
ers
Gr
ou
p M
e
m
b
ers C
o
m
m
uni
cat
i
o
n
Sha
r
i
n
g am
ong
Use
r
– P
u
bl
i
c
, Pri
v
at
e am
ong
m
e
m
b
ers
Course Services (Subject
offe
red under
Soci
al Learni
ng)
Creating E
learning Notes
Learn and
Sha
r
e –am
ong m
e
m
b
ers
Test and
Asses
s
m
e
nt
C
ont
e
n
t
M
a
na
gem
e
nt
Pub
lish
i
ng
No
tes
Track
i
n
g User
Activ
ities
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
088
-87
08
IJEC
E V
o
l
.
4, No
. 3,
J
u
ne 2
0
1
4
:
44
7 – 4
5
5
45
2
Im
p
o
r
tan
c
e of th
is step
s
deals with b
a
sic fun
c
tion
a
lities of so
cial
learn
i
ng
app
licatio
n
with
in
vo
lv
em
en
t of User
related fun
c
tion
,
Gro
u
p
s
activ
itie
s, Cou
r
ses, E
learn
i
ng
m
a
te
rials, sh
aring
with
m
e
m
b
ers, C
o
n
t
ent
ge
nerat
i
o
n
an
d m
a
nagem
e
nt
, P
u
bl
i
s
hi
n
g
co
nt
ent
a
n
d
A
ssessm
ent
of l
earni
ng
p
r
oce
s
ses t
o
create efficient teaching, lea
r
ning
function.
Basically lear
n
e
rs
h
a
v
e
less in
terest on
creatin
g
cou
r
se co
n
t
en
t so
it’s v
e
ry im
p
o
r
tan
t
ro
le
of
in
stru
ct
o
r
an
d
co
urse co
n
t
en
t au
tho
r
s to
create E lear
n
i
ng
m
a
terials. T
h
is is will b
e
ad
d
e
d
ad
v
a
n
t
ag
e fo
r
l
earner
t
o
g
o
t
h
r
o
ug
h
page
c
ont
e
n
t
i
n
a
p
pl
i
cat
i
on
wi
t
h
l
e
s
s
o
p
t
i
o
n
o
n
na
vi
gat
i
o
n a
n
d
c
ont
rol
ove
r i
n
t
h
ei
r
flow. So
it im
p
r
ov
es co
m
p
u
tin
g,
d
a
ta tra
n
sfe
r
s
p
eed of learner.
4.
2.
Social L
e
arning
Mode
l Architec
ture
Th
is arch
itecture exp
l
ain
s
abo
u
t
flow an
d
co
nn
ec
tiv
ity b
e
t
w
een d
i
fferen
t
en
tities in
so
cial learn
i
ng
ap
p
lication
.
Fi
gu
re
2.
S
o
ci
al
E-Lear
ni
ng
S
y
st
em
Archi
t
e
c
t
ure
So in teac
hing and learni
ng a
c
tivities shoul
d have
pr
oper
function fl
ow t
o
understa
nd it
’s im
portant
for teache
r
s and learners t
o
a
ccess co
ncern
function from
listed pages
.
So
this SNS
based E
-
learni
ng called
soci
al
l
earni
n
g
appl
i
cat
i
on s
h
oul
d al
l
o
w us t
o
cust
om
i
ze l
e
arni
ng
, creat
i
o
n of c
ont
e
n
t
fo
r aut
h
or
, co
nfi
g
u
r
e t
o
map group learning, t
o
wa
rds s
u
ccess
f
ul la
unc
h
of teaching, l
earni
ng proce
s
s.
“The
supply-side section provides
re
ve
nue
forecasts
for five
types
of Self paced
eLea
rning product
s
and services i
n
cluding:
Packa
g
ed cont
ent
C
u
st
om
cont
en
t
devel
opm
ent
servi
ces
C
l
ou
d-
base
d a
u
t
h
ori
n
g
t
o
ol
s
and
l
ear
ni
n
g
pl
at
form
servi
ces
In
stalled
au
t
h
oring
too
l
s
Inst
al
l
e
d l
e
a
r
ni
ng
pl
at
f
o
rm
s” [
14]
R
e
ven
u
e f
o
rec
a
st
l
i
s
t
out
im
po
rt
ance
of c
ont
e
n
t
de
vel
o
pm
ent
&
m
a
n
a
gem
e
nt
, Aut
h
ori
ng t
o
ol
s
,
devel
opm
ent
& de
pl
oy
m
e
nt
l
earni
n
g
pl
at
f
o
rm
–Soci
a
l
l
ear
ni
n
g
a
ppl
i
cat
i
o
n.
4.
3.
Conten
t Manageme
nt
“Grey Catalys
t
delivers custom
e-learning and co
nt
ent
devel
opm
ent
servi
ces.
O
u
r
appr
oach
t
o
d
e
liv
erin
g
e-learn
i
n
g
so
lu
tio
ns is d
r
iv
en
b
y
th
ree k
e
y ru
les:
Clari
t
y & co
mp
leten
e
ss in
requ
ire
m
en
t g
a
th
erin
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
ECE
I
S
SN
:
208
8-8
7
0
8
A S
m
art
E-
Lea
r
ni
n
g
Syst
em
f
o
r
So
ci
al
N
e
t
w
orki
n
g
(
N
. R
a
d
h
i
k
a)
45
3
Co
st effectiv
en
ess th
ro
ug
h p
r
actica
l
so
lu
tio
n
s
ag
ain
s
t id
ealis
t
i
c so
lu
tio
n
s
Preci
si
on i
n
de
vel
opi
ng
and
d
e
l
i
v
eri
ng sol
u
t
i
ons”[
15]
As p
e
r th
is Grey cata
l
ys
t s
o
lu
tio
n
s
clarit
y o
f
co
u
r
se
c
ontent, cost effectiven
ess of
sim
u
l
a
t
i
on, Cont
ent
del
i
v
eri
ng i
m
p
o
rt
ance i
s
cl
earl
y
defi
ned t
o
t
a
ke as i
n
p
u
t
for
devel
opi
n
g
soc
i
al
learni
ng ap
p
l
i
c
at
i
on.
5.
RES
U
LTS A
N
D
DI
SC
US
S
I
ON
5.
1.
E le
arni
ng
Conte
n
t: T
echnical S
t
an
dard
“Techni
cal
St
andar
d
:
C
ont
ent
Form
at
–E Learni
ng
Ap
pl
i
cat
i
on
XHTM
L
1
.
0 T
r
ansi
t
i
onal
UTF-8 character encoding
C
SS.2.1
,
3.
0
Text
Docum
e
nt
PDF –fixed
display
R
T
F, DOC
X
–
E
di
t
a
bl
e di
spl
a
y
EB
ooks –
EP
U
B
Spread s
h
eet –
XLSX
Present
a
t
i
on –
PPTX
W
e
b
Grap
hi
cs – GI
F, JPE
G
, P
N
G
Audi
o f
o
rm
at
s-M
P
3
Vi
deo fi
l
e
fo
r
m
at
s-M
P
EG4” [16]
E learning cont
ent can be created fo
r we
b ap
pl
i
cati
on usi
ng
t
h
ese st
andard cont
ent
form
ats t
o
m
a
ke
i
t
very
effect
i
v
e i
n
soci
al
learni
ng ap
pl
i
cat
i
on. It
’s al
so im
p
l
i
e
s cont
ent
st
andar
d
based
o
n
sup
p
o
r
t
i
ng
AIC
C
,
SC
OR
M
,
and
Ti
n C
a
n cont
en
t
st
andards.
Three role-play in social learni
ng a
ppl
i
cat
i
on by
cat
egory
C
ourse Aut
h
or (or Inst
r
u
ct
or)
Appl
i
cat
i
on Ad
m
i
n
Learner
Author can e
d
it course content by ch
anges to be m
a
de, assig
n
accesses perm
iss
i
ons level, delete if it under
required standa
rd ..
..etc.
Adm
i
n is to check all functionalities app
lica
t
ion according to define
d standard.
Learners can l
earn cou
r
ses b
y
engage i
n
i
t
wi
t
h
i
ndi
vi
du
al
or as grou
p.
Then i
n
st
ruc
t
or can be ei
t
h
er
l
earner or a
u
t
h
or
of any
co
urs
e
t
o
creat
e und
erst
and i
t
benef
i
t
s
t
o
st
udent
s
Exam
i
n
at
i
on pat
t
e
rn i
s
not
prod
uct
i
v
e and di
fferent
from
n
e
w t
echnol
ogi
e
s
so we need to be up
dat
e
d
wi
t
h
new m
odern S
N
S usa
g
e i
n
t
o
o
u
r l
earni
n
g
p
r
ocess usi
n
g
E l
earni
ng sy
st
em
“A teacher suggeste
d following steps:
Increase of practica
l
Sh
ift to
E-b
a
sed
assig
n
m
en
ts
Di
scussi
ng
gad
g
et
ry
wi
t
h
st
ud
ent
s
Creatin
g
a
m
o
re in
teractiv
e le
arn
i
n
g
en
v
i
ro
nm
ent with use of internet,
blogs etc.”[17]
5.
2.
Teachin
g
processes
(Author and Instructo
r)
by following interfaces
:
To create cours
e
To creat
e l
earner gr
ou
ps by
s
h
ari
ng i
t
t
o
ot
her
s
To l
earn t
h
r
o
u
gh i
n
di
vi
dual
c
ourses
To edit course
content
Assign accesses level permissions to
a
n
y course shared
between users
Engage
d in teaching an
d learning processes
To creat
e repo
r
t
s on val
u
e
of c
ourse a
nd i
t
’
s h
i
s hi
st
ory
To del
e
t
e
onl
y
shared a
nd cre
a
t
e
d courses.
5.
3.
Learnin
g
processes
(L
earners)
by
followin
g
interfac
e
s:
To search
required course
Selected cours
e
content
To l
earn t
h
r
o
u
gh
gr
ou
p m
e
mber an
d i
n
st
ruct
or
To comm
unica
te between learner and instruct
or
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
088
-87
08
IJEC
E V
o
l
.
4, No
. 3,
J
u
ne 2
0
1
4
:
44
7 – 4
5
5
45
4
“SNS can be a
great
educat
i
on t
ool
, an
d i
t
i
s
possi
bl
e t
o
i
n
t
e
grat
e SNS t
o
M
odel
wi
t
h
di
fferent
l
e
vel
and aspect
.”[1
8]
Aut
h
o
r
s or
i
n
st
ruct
ors ar
e respo
n
si
bl
e for co
urse c
o
n
t
ent
generat
i
on wi
t
h
pro
p
er c
ont
ent
m
a
nagem
e
nt
sy
st
em
and pu
b
l
i
s
hi
ng cou
r
se
t
o
l
earner t
h
r
o
ug
h ap
pl
i
cati
on. I
nvi
t
i
ng l
ear
ner t
h
r
o
u
g
h
gr
ou
p o
r
community post share. Group or co
mm
unity capable of d
o
ing teaching
and learning processes between all
me
m
b
ers. Lear
n and s
h
are will take places
naturally
it grows with huge
num
ber of me
m
b
er with network
g
r
ou
p co
nn
ectiv
ity.
6.
CO
NCL
USI
O
N
M
odel
open s
ource E-Lear
n
i
ng pl
at
form
used t
o
desi
g
n
appl
i
cat
i
on for l
earners
b
y
creati
n
g
p
e
rson
alized
le
arn
i
n
g
system
.
Lik
e
wise ap
p
l
icat
io
n
can
b
e
b
u
ilt with
SNS featu
r
es in
E
learn
i
n
g
to
d
e
v
e
lo
p
so
cial le
an
in
g
ap
p
licatio
n
.
Th
e u
s
ers will b
e
allo
wed
to
u
s
e
so
cial le
arn
i
n
g
wh
ich
co
llab
o
r
ates o
n
LMS, LCMS
wi
t
h
cont
ent
standar
d
l
i
k
e Scorn
,
AIC
C
or
Ti
n C
a
n. In
t
h
i
s
paper, descr
i
bed abo
u
t
im
port
a
nce o
f
Learni
ng
M
a
nagem
e
nt
Sy
st
em
s and LC
M
S
wi
t
h
rel
a
t
i
ng S
o
ci
al
Netw
or
ks si
t
e
for
Soci
al
l
earni
ng (e-Learni
n
g
).
Fi
nal
l
y
,
architecture shows functionalities of so
cial leaning application with th
eir
connectivity between
entities.
Appl
i
cat
i
on sh
oul
d
be m
a
de for
user
wi
t
h
o
u
t
havi
n
g
kn
o
w
l
e
dge
of t
h
at
pl
at
form
and
t
ool
s t
o
de
pl
o
y
or t
o
becom
e
user of
soci
al
l
earni
ng t
ool
s and a
ppl
i
cat
i
on.
ACKNOWLE
DGE
M
ENTS
Th
e
first au
thor wou
l
d
lik
e to th
ank
co
rrespo
nd
ing
au
tho
r
f
o
r
g
i
v
i
ng
v
a
luab
le
gu
id
an
ce an
d
supp
or
t
t
o
car
ry
out
hi
s resea
r
ch
w
o
r
k
.
A
n
d
,
also
wou
l
d lik
e t
o
th
ank
the Prin
ci
pal
an
d
In
f
o
r
m
at
i
on Tech
n
o
l
o
gy
-
Head
of Dep
a
rt
m
e
n
t
fro
m
Trin
ity Co
lleg
e
of Eng
i
n
e
erin
g
an
d
Research
, affiliated
to
Un
i
v
ersity of Pu
ne for
gi
vi
n
g
hi
m
oppo
rt
u
n
i
t
y
t
o
carry
o
u
t
hi
s
res
earch
w
o
r
k
a
n
d p
r
ovi
di
n
g
hi
m
wi
t
h
t
h
e re
qui
si
t
e
res
o
urc
e
s an
d
infra
struct
ure
.
REFERE
NC
ES
[1]
“The Importance of Socia
l Lea
r
ning”
, Retr
ieved 27 Januar
y
2
014, http:/
/theso
c
ialexpress.com/resources/abou
t-
s
o
cial-
l
earn
i
ng
[2]
George Abraham, Balasubram
anian
Vand
R
A
. K. Sarav
a
n
a
guru. “Adap
tiv
e e-Learn
i
ng Environment using
Learn
i
ng Sty
l
e
Recognition”
In
ternational
Journal of Evaluati
on
and Research
in
Education (
I
JERE)
Vol.
2,
No.
1
,
pp. 23~31, March 2013.
[3]
“A
model for the effects of onlin
e soci
al networks on Learning” b
y
Jonnavithu
l
a, L., & Tretiakov
, A. (2012), In M.
Brown, M. Hartnett & T. Stewart (Eds.),
F
u
ture
chall
e
nges
,
s
u
s
t
ainab
l
e futures
.
Proceed
ings ascilit
e Wel
lingto
n
2012. (pp
.
435-4
37).
[4]
“International eLearning Market Research”
b
y
Sam S. Adkins, publishing in October 20
12
http://www.
ambientinsight.
c
o
m/Reports/eLearning.
aspx
[5]
“
j
oin.me ar
chit
ectur
e whi
t
epa
p
er
”
by
Mar
t
o
n
Anka, CTO, LogMeIn,
Inc. Retrieved 27
Januar
y
2014
,
https://
join.m
e
[6]
“Online Campus Pla
tform”
, Ret
r
ieved
27 Janu
ar
y 2014, http
://ww
w
.crunchb
ase.co
m
/
com
p
an
y
/
scli
po
[7]
“Teacher Tube”
, Retrieved 27
Januar
y
2014,
http
://www.teach
ertube.com
[8]
“A field guid
e
to Learni
ng Management
Systems”
by
R
y
ann K. Ellis.
Retrieved 2
7
Januar
y
201
4
http://www.astd.org/~/media/Files
/Publications/LMS_fieldguide_
20091
[9]
Kerschenbaum,
Steven (4 June
2009).
"
L
MS Selection
Best Prac
tic
es"
(White p
a
per).
Aday
ana C
h
ief Technolog
y
Officer
. pp.
1–15
. Retrieved
27 Januar
y
2014.
http://www.
tra
i
ningindustry
.
c
o
m/me
dia
/
2068137/lmsse
le
c
tion_full.
pdf
[10]
“Learning Manag
ement S
y
stem”
, Retr
iev
e
d 27
Januar
y
201
4,
http://en
.
wikiped
i
a.org
/
wiki/Lear
n
ing_m
anagement_s
y
stem#LMS_and_LCMS_compared
[11]
“Don’t Forget
The
Y
ou in So
cial Learning”
by
D
e
nnis Callah
an
in July
9,
2
011, Retr
iev
e
d
27 Januar
y
201
4,
http:/
/le
arnstre
a
m
ing.com
/
don-forget-th
e
-
y
ou-in
-social-
learn
i
ng
[12]
“What if Social Learning Was Gone?”
b
y
Den
n
is Callahan
in
October
8
,
20
10, Retr
iev
e
d 2
7
Januar
y
2014,
http://learnstreaming.com/what-
i
f-social-learnin
g
-was-gone
[13]
“Advanced Dis
t
ributed Learning: SCORM Sharable
Conten
t Object Reference Mod
e
l. S
C
ORM 2004”
,
2nd
Edition. Overview (2004) Retrieved
27 January
2014
,
http://www.adln
et.gov
/scorm
/histor
y
/2004/docu
m
ents.cfm
[14]
“International eLearning Market Research”
b
y
Sam S. Adkins, publishing in
October 2012, R
e
tr
ieved 27 Janu
ar
y
2014, http://www.ambientinsigh
t.com/Repor
ts/eLearn
i
ng.aspx
[15]
“
E
-lear
n
ing
&
Cus
t
om Content Deve
lop
m
ent”
, Retr
ieved 27
Januar
y
2014,
http://www.
greycataly
s
t.com/elearning.
php
[16]
“Summary list of
VET E-stand
ards”
, Retrieved 27
Januar
y
2014,
http://e-
standards.flexiblelearning.n
e
t.au
/tech
n
i
cal_stand
a
rds /content_for
m
ats.php
Evaluation Warning : The document was created with Spire.PDF for Python.
IJECE
ISS
N
:
2088-8708
A S
m
art
E-
Lea
r
ni
n
g
Syst
em
f
o
r
So
ci
al
N
e
t
w
orki
n
g
(
N
. R
a
d
h
i
k
a)
45
5
[17]
Taimur-ul-Hassan and Abdur Rahim Sajid
.“ICTs in learning
in P
a
kistan
”,
In
terna
tional
Journal of Evalua
tion and
Research in Edu
c
ation
,
I
J
ER
E
Vo
l.1-N
o
.2,
pp
. 51~
6
0
,
Oct 6
,
2
012.
[18]
“Integrating Social Network Service
in
to Learning Management System”
b
y
Won Ho. Retriev
e
d 2
7
Januar
y
2014
,
http://www.elear
n
ingasi
a.net/_pr
ogram/pdf_pt/[Paper%208-4]
Won%20Ho.pdf
BIOGRAP
HI
ES OF
AUTH
ORS
M
r
. M
.
R.M
.
V
eera
M
a
ni
ckam
is
curr
ent
l
y
w
o
rking as
an A
s
s
i
s
t
ant P
r
ofes
s
o
r in Dep
t
.
of
Information Technolog
y
,
Trinity College o
f
Eng
i
n
eer
ing and
Research, aff
iliated
to Univ
ersity
of Pune, Pune. And also worki
ng as part time
Re
search Scholar in Dept. of Co
mputer Science
and Engin
eer
ing
at Karp
agam
Univers
i
t
y
,
Coim
batore
, Indi
a. H
e
rece
ived h
i
s
B.T
ech.d
egre
e in
Information Technolog
y
from LVEC, Anna Universi
ty
, Chenn
a
i, India, in
2006, and M
.
Tech
.
degree in Infor
m
ation Techno
log
y
from Sath
y
a
ba
ma University
, Ch
ennai,
India, in 2011. His
main research
work focuses on
E-Learn
i
ng,
Social Network
and C
l
oud Application
.
Dr. Radhika N
.
completed h
e
r p
o
st doctoral stud
ie
s in th
e department of Computer Scien
ce
and
Engineering at IITM, Chennai,
Ta
mil Nadu, Ind
i
a in th
e area of Smart Grids. Dr. Radhika holds
a position
of A
ssociate p
r
ofessor in th
e dep
a
rt
m
e
nt of Com
puter Sci
e
nc
e and
Engine
ering
,
Am
rita Univers
i
t
y
, Am
rita Vis
h
wa Vid
y
ap
eeth
a
m
,
Coim
batore. S
h
e has
a decad
e of teach
ing
and res
e
arch
ex
perien
ce
. S
h
e h
a
s
m
o
re than 20
papers published in Intern
ation
a
l and n
a
tional
journals and In
ternational conf
erences. She is
a reviewer of several in
tern
ational
journals
including
Spring
er.
Evaluation Warning : The document was created with Spire.PDF for Python.