The Impact of E-learning Techniques on Education Process. Platform Selection and Comparison
Опубликована: Сен. 13, 2023
This
paper
explores
the
impact
of
e-learning
educational
process
over
classical
form.
It
examines
benefits
and
challenges
e-learning,
ranging
from
increased
accessibility
flexibility
to
personalized
learning
experiences.
By
analyzing
various
platforms,
including
Coursera,
Udemy,
Khan
Academy
others,
this
study
highlights
their
features,
pricing
models
engagement
strategies.
Based
on
a
selection
suitable
platforms
for
different
sciences
is
proposed.
Язык: Английский
Analysis of Frequently Appearing Words in the Titles of 2023 Research Grant Winners in Indonesia Using the TF-IDF Method
Journal of Information Systems and Informatics,
Год журнала:
2023,
Номер
5(4), С. 1508 - 1522
Опубликована: Дек. 3, 2023
Research
activities
are
an
obligation
to
be
carried
out
by
a
lecturer,
each
year
the
Government
of
Indonesia
through
Ministry
Education,
Culture,
and
Technology
encourages
improvement
research
large
amount
funding
aid
several
schemes
grant
competition.
By
2023,
percentage
proposals
funded
was
only
22.7%
total
submitted
as
28.404.
One
problems
that
arises
for
lecturer
who
follows
is
determine
title
research.
The
aims
identify
words
often
appear
on
titles
escape
from
scheme
performing
word
grinding
using
TF-IDF
method.
results
this
indicate
in
novice
(PDP)
appears
"based"
with
434
proposals,
regular
fundamental
(PFR)
"development"
374
,
domestic
cooperation
(PKDN)
117
post-graduate
doctoral
dissertation
(PPS-PDD)
"model"
154
master's
thesis
(PTS-PTM)
191
downstream
applied
(PT-JH)
82
proposals.
This
can
provide
overview
names
based
highest
number
occurrences
all
funded.
"based",
3
largest
PFR,
PKDN,
PPS-PDD,
PPS-PTM,
PT-JH
schemes.
For
PDP
scheme,
order
proposal
"regency",
"development".
Язык: Английский
Optimal Scheduling of Real-Time Learning Resources Using Intelligent Algorithms in Online Learning Environments
Опубликована: Дек. 22, 2023
The
rapid
development
of
Internet
technology
has
made
learning
in
the
environment
gradually
become
a
new
trend.
Traditional
resources
cannot
meet
people's
needs
for
rich
and
diverse
resources.
application
brought
real-time
characteristics
to
online
provides
people
with
more
flexible
convenient
method.
However,
as
continue
increase,
how
effectively
allocate
schedule
these
an
urgent
problem
be
solved.
resource
scheduling
methods
rely
on
manual
intervention
automated.
This
article
believes
that
intelligent
algorithms
have
adaptability
strong
self-learning
ability,
so
applying
this
method
can
optimize
In
order
verify
advantages
algorithm,
compares
performance
traditional
genetic
algorithms,
artificial
neural
network
particle
swarm
optimization
conducts
quantitative
analysis
based
nature
results.
Experimental
results
show
algorithm
shortest
response
time
highest
utilization
rate
(89%).
Язык: Английский