Interactive Learning in Afghanistan: Feasibility of Implementing IoT Connected Devices in Classrooms
American Journal of Smart Technology and Solutions,
Год журнала:
2024,
Номер
3(1), С. 8 - 16
Опубликована: Янв. 22, 2024
In
the
dynamic
landscape
of
Afghanistan’s
education,
this
study
explores
into
transformative
integration
Internet
Things
(IoT).
With
purpose
scrutinizing
perceptions,
challenges,
and
preparedness,
a
meticulous
mixed-methods
approach
was
employed,
collecting
data
from
120
participants
across
diverse
educational
backgrounds.
The
deliberate
inclusion
Computer
Science,
Agriculture,
Education,
Economics
faculties,
representing
institutions
such
as
Kabul,
Karwan,
Badakhshan,
Samangan,
Faryab
University,
ensured
comprehensive
exploration.
Through
structured
questionnaires
utilizing
Likert-scale
items,
methodology
sought
to
gauge
participants’
perceptions
technological
infrastructure,
institutional
support,
challenges
linked
IoT
integration.
Notably,
ANOVA
regression
analyses
were
applied
discern
influential
factors
shaping
views.
study’s
novelty
lies
in
its
uncovering
nuanced
specifically
emphasizing
pivotal
role
technical
expertise
perception
readiness
for
within
faculties.
consensus
on
IoT’s
potential
reshape
teacher-student
interactions
elevate
academic
outcomes
is
novel
contribution,
highlighting
impact
pedagogical
practices.
Additionally,
research
anticipates
scrutinizes
infrastructural
identifying
resource
constraints,
proposing
targeted
strategies
efficacious
implementation.
conclusion,
enriches
discourse
education
by
accentuating
significance
addressing
practical
guidelines.
It
not
only
contributes
actionable
insights
Afghanistan
policymakers
educators
but
also
lays
foundation
future
optimize
specific
ultimately
fostering
successful
landscape.
Язык: Английский
Design and Assessment of an Active Learning-Based Seminar
Education Sciences,
Год журнала:
2024,
Номер
14(4), С. 371 - 371
Опубликована: Апрель 4, 2024
The
Internet
of
Things
(IoT)
is
an
emerging
paradigm,
even
though
it
does
not
receive
enough
attention
in
many
academic
plans.
In
order
to
introduce
our
students
IoT,
this
paper
we
present
the
overall
results
a
seminar
dedicated
encourage
them
design
basic
IoT
projects
on
software
application
called
Packet
Tracer
v8.2.1.
Such
were
carried
out
groups,
whereas
evaluation
process
was
performed
by
means
filling
peer
review
construct
after
presentation
made
each
team.
This
previously
validated
panel
five
experts
applying
Aiken’s
V
test,
where
value
0.907
obtained.
There
nine
items
within
that
construct,
which
grouped
into
three
dimensions,
such
as
quality
prototypes
presented,
communication
skills
during
presentations
prototypes,
and
alignment
with
SDGs.
average
obtained
for
all
dimensions
above
8
10,
whilst
medians
9
coefficient
variations
around
0.2.
Those
showed
high
ratings
moderate
variation
among
them.
Furthermore,
reliability
data
collected
assessed
Cronbach’s
alpha,
accounting
values
0.9
dimension
overall,
excellent
internal
consistency
data.
Likewise,
level
engagement
activity
also
measured
ISA
scale,
resulting
6.5,
median
7,
proved
students.
Язык: Английский
A Deep Dive into Deep Learning-Powered Steganography for Enhanced Security: Review
Anfal Shihab Ahmed,
Melad saeed
International Research Journal of Innovations in Engineering and Technology,
Год журнала:
2024,
Номер
08(03), С. 79 - 89
Опубликована: Янв. 1, 2024
-
Steganography—the
practice
of
hiding
data
in
digital
media—has
attracted
a
lot
interest
because
its
possible
uses
secure
communication.
This
study
offers
thorough
summary
the
most
recent
developments
steganography,
emphasizing
incorporation
deep
learning
(DL)
methods
particular.
The
review
explores
several
steganographic
techniques,
classifies
them,
and
assesses
advantages
disadvantages
each.
Moreover,
it
reviews
current
research
projects
that
use
DL
to
improve
security
resilience
systems.
evaluation
finds
new
trends,
problems,
possibilities
field
by
examining
related
studies.
major
goal
is
advance
this
broaden
our
understanding
steganography-based
Язык: Английский
CNN and Adaboost fusion model for multiface recognition based automated verification system of students attendance
Indonesian Journal of Electrical Engineering and Computer Science,
Год журнала:
2024,
Номер
35(1), С. 133 - 133
Опубликована: Май 6, 2024
In
recent
times,
companies
and
institutions
globally
are
increasingly
adopting
automated
systems
for
recording
employee
attendance
due
to
the
inefficiency
error-prone
nature
of
traditional
methods.
Face
recognition
is
fastest,
most
natural,
accurate
way
identify
someone,
despite
its
difficulty.
Remote
deployment
control
technology
using
internet
things
(IoT)
protocols
provides
real-time
data
worldwide.
We
use
Haar-cascade
algorithm
detect
extract
features
adaptive
boost
confused
with
convolutional
neural
network
(CNN)
recognize
face
in
our
proposed
smart
system.
Per
frame,
system
recognizes
multiple
faces.
18
conditions
was
designed
into
ensure
versatility.
The
system's
graphical
user
interface
(GUI)
made
average
users.
This
work
more
important
because
IoT
records
student
sends
authorities.
Raspberry
Pi
4
camera
module
suggested
Python
OpenCV
libraries
tested
image
proposal
situations
under
four
conditions.
Single-face
compared
other
cases,
method
100%
outperformed
related
Язык: Английский
Global Trends and Contributions of Internet of Things (IoT) Research in Education: A Bibliometric Analysis
Mimbar Ilmu,
Год журнала:
2024,
Номер
29(3), С. 500 - 506
Опубликована: Дек. 25, 2024
The
development
of
Internet
Things
(IoT)
technology
has
significantly
transformed
various
sectors,
including
education.
However,
research
on
the
implementation
IoT
in
education
remains
fragmented
and
lacks
a
comprehensive
understanding
global
trends
its
contributions
to
educational
advancements.
This
study
aims
provide
holistic
overview
within
field
through
bibliometric
analysis
Scopus
data
from
2016
2024.
adopts
qualitative
descriptive
approach
using
PRISMA
method
conduct
systematic
literature
review.
analyzed
comprises
scientific
publications
related
retrieved
database.
Bibliometric
was
conducted
identify
publication
trends,
prominent
authors,
contributing
institutions,
dominant
fields
this
area.
results
indicate
that
number
fluctuated
annually,
with
general
upward
trend
peaking
2023
before
declining
identified
Mershad,
K.
as
most
prolific
author
Arts,
Sciences,
Technology
University
leading
institution
these
were
Computer
Science,
followed
by
Social
Sciences
Engineering,
reflecting
multidisciplinary
nature
concludes
application
continues
evolve
contributes
innovation.
Язык: Английский
Using Internet of Things Technology to Improve the Quality of University Education
Tajdeedah Alhousayn Alhadi Ehfaf
The Arab Journal For Quality Assurance In Higher Education,
Год журнала:
2023,
Номер
16(55), С. 36 - 65
Опубликована: Дек. 3, 2023
The
term
Internet
of
Things
(IOT)
has
become
one
the
most
familiar
and
popular
expressions
in
recent
times,
due
to
solutions,
it
offers
classroom
management
easy
access
information
which
can
contribute
ensure
quality
education
by
applying
IOT
technology,
process
be
better.
truth
is
that
educational
institutions
need
develop
technologies
performance
evaluation
methods
through
becomes
significantly
more
efficient
fruitful,
continuous
development
this
sector,
as
programmatic
accreditation
academic
circles
a
major
tool
for
improving
education,
also
ensures
achievement
standards,
gives
university
confidence
existence
strong
system
meets
requirements.
In
regard,
researcher
conducted
descriptive
research
identify
aspects
how
apply
them
support
some
indicators
achieve
standards
programs
within
program.
context,
advantages
applications
will
applied
bring
about
fundamental
changes
their
quality.
discusses
important
safety
points
used
avoid
risks
confront
challenges
limit
use
such
technology.
general,
work
directed
process,
ensuring
quality,
maintaining
improvement.
Язык: Английский