Wasit Journal of Computer and Mathematics Science,
Год журнала:
2023,
Номер
2(1), С. 54 - 58
Опубликована: Март 30, 2023
Pose
estimation
involves
estimating
the
position
and
orientation
of
objects
in
a
3D
space,
it
has
applications
areas
such
as
robotics,
augmented
reality,
human-computer
interaction.
There
are
several
methods
for
pose
estimation,
including
model-based,
feature-based,
direct,
hybrid,
deep
learning-based
methods.
Each
method
its
own
strengths
weaknesses,
choice
depends
on
specific
requirements
application,
object
being
estimated,
available
data.
Advancements
computer
vision
machine
learning
have
made
possible
to
achieve
high
accuracy
robustness
allowing
development
wide
range
innovative
applications.
will
continue
be
an
important
area
research
development,
we
can
expect
see
further
improvements
future.
International Journal of Emerging Technologies in Learning (iJET),
Год журнала:
2023,
Номер
18(01), С. 19 - 39
Опубликована: Янв. 10, 2023
The
subject
of
the
Internet
Things
is
very
important,
especially
at
present,
which
why
it
has
attracted
attention
researchers
and
scientists
due
to
its
importance
in
human
life.
Through
it,
a
person
can
do
several
things
easily,
accurately,
an
organized
manner.
research
addressed
important
topics,
most
are
concept
Things,
history
emergence
development,
reasons
for
interest
importance,
prominent
advantages
characteristics.
sheds
light
on
structure
structural
components,
components.
dealt
with
search
engines
steps
designing
systems.
Among
topics
included
use
technology
educational
field,
role
solving
education
problems,
applications
students
teachers.
Also
indicated
contribution
ensuring
sustainable
environmental
protection
areas
application
Things.
sample
amounted
(152
teaching
staff)
from
Iraqi
Universities
their
academic
achievement
(84
Ph.D.,
68
Master’s,
42
Bachelor’s)
(17)
different
scientific
specializations;
(42
students).
number
respondents
who
191
those
not
teach
(3)
(194)
person.
Students
professors
smartphones
study
rate
(97.42%)
computers
necessities
(92.27%)
higher
than
electronic
devices
equipment
including
smart
board
(11,86%).
Use
IoT
great
medium
providing
lectures
effectively,
percentage
96.91%,
large
problems
giving
health
crises,
Coronavirus
crisis.
Availability
local
global
levels,
whether
appropriate
content
or
selection
anywhere
world,
98.45%.
International Journal of Emerging Technologies in Learning (iJET),
Год журнала:
2023,
Номер
18(01), С. 137 - 151
Опубликована: Янв. 10, 2023
With
the
spread
of
global
markets
for
modern
technical
education
and
diversity
programs
requirements
local
market
information
communication
technology,
universities
began
to
race
among
themselves
earn
their
academic
reputation.
In
addition,
they
want
enhance
technological
development
by
developing
IMT
systems
with
integrated
technology
as
security
fastest
response
speed
providing
required
service
sure
linking
it
The
network
using
social
networking
wireless
networks
which
in
turn
is
a
driver
emerging
economies
education.
All
these
facilities
opened
way
expand
number
students
solve
problem
accumulation,
collection
analysis
data
storing
large,
expanded
automatically
interconnected
databases
between
university
places
departments
provide
services
adapted
desire
demand.
This
research
dealt
sample
from
academic’s
opinions
students.
319
questionnaires.
It
concluded
that
each
infrastructure,
devices,
Internet
things,
smart
classrooms,
administrative
database,
presence
fifth-generation
its
equipment,
have
statistically
significant
correlation
technology.
International Journal of Emerging Technologies in Learning (iJET),
Год журнала:
2022,
Номер
17(24), С. 131 - 143
Опубликована: Дек. 20, 2022
Spatial
Intelligence
is
a
mental
ability
to
understand
and
solve
real-world
problems.
These
visual-spatial
representations
are
fundamental
in
learning
various
"STEM"
topics,
like
digital
drawing,
art
presentations,
creating
graphical
representations,
2D
designs.
Opportunity
interact
with
real
and/or
virtual
objects.
It
good
opportunity
applying
new
techniques
such
as
the
augmenter,
which
able
clarify
mathematical
tables,
concepts
generalizations
greatly
visualization,
understanding
mastery
of
mathematically.
The
purpose
research
investigate
impact
using
AR
technology
developing
spatial
intelligence
for
secondary
school
students,
Baghdad.
quasi-experimental
design
was
used,
participants
consisted
(60)
students
4th
class
scientific
mathematics.
Tools
used
where
scale
prepared
contains
three
skills
that
include
(20)
questions.
Research
findings
show
has
positive
on
mathematics,
concluded
set
recommendations
proposals.
Periodicals of Engineering and Natural Sciences (PEN),
Год журнала:
2022,
Номер
10(3), С. 40 - 40
Опубликована: Май 6, 2022
E-learning
environments
designed
with
adaptive
technology
in
mind
can
help
students
learn
and
retain
information
more
effectively
by
enhancing
their
learning
experience
increasing
level
of
engagement.
Here,
students'
styles
are
considered
creating
an
adaptable
online
environment,
the
effects
on
student
engagement
examined.
For
sake
this
study,
we've
also
attempted
to
describe
compare
suggested
environment
existing
e-learning
technique.
With
Covid-19
classroom,
advancements
have
grown
exponentially,
progress
has
coincided
process
teaching
learning.
Virtual
classrooms
necessitated
since
it
was
most
user-friendly
method.
A
descriptive,
correlative,
transversal
prescriptive
research
approach
used.
An
survey
used
gather
data
get
a
random
voluntary
sample
3560
university
from
Peru.
lack
reading
comprehension
is
issue,
but
may
use
communication
technologies
Internet
improve
via
self-learning.
Proceedings of Engineering and Technology Innovation,
Год журнала:
2025,
Номер
29, С. 99 - 115
Опубликована: Фев. 10, 2025
This
study
proposes
a
smart
invigilation
system
to
preserve
exam
integrity
by
detecting
suspicious
student
behaviors
using
deep
learning.
The
model
consists
of
three
phases,
i.e.,
identity
verification
face
recognition,
behavioral
sampling
for
training
utilizing
gesture
analysis
and
convolutional
3D
networks
emotion
analysis,
live
video
activities
integrating
gesture,
emotional
recognition.
is
evaluated
4,000
1,000
test
images
identifies
non-cheating
with
99%
accuracy
cheating
97.6%
accuracy.
proposed
outperforms
other
methods,
achieving
accuracies
98.4%
identifying
99.2%
behaviors,
resulting
in
an
overall
98.8%
low
misclassification
rate
1.2%.
While
the
demonstrates
high
accuracy,
challenges
remain
scaling
larger
classrooms
due
increased
computational
demand
need
additional
hardware
ensure
comprehensive
monitoring.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 21503 - 21519
Опубликована: Янв. 1, 2024
Online
exams
are
growing
increasingly
popular
in
organizations
and
educational
institutes
because
they
more
flexible
cost-effective
than
conventional
paper-based
exams.
When
face-to-face
not
possible,
such
as
during
floods,
unexpected
situations,
or
pandemics
like
COVID-19,
this
exam
mod
has
become
even
important.
However,
online
may
have
difficulties,
the
need
for
a
reliable
internet
connection
possibility
of
cheating.
Because
there
is
no
human
supervisor
present
to
monitor
exam,
so
cheating
major
concern.
The
environment
employed
ensures
that
every
student
finalizes
evaluation
process
without
using
any
type
This
study
investigates
detection
recognition
unusual
behavior
an
academic
setting,
exams,
prevent
students
from
engaging
unethical
behavior.
After
consulting
with
experts
reviewing
held
Covid-19
other
selected
four
most
common
activities
found
exam.
extracts
key
frames
motion-based
frame
extraction
techniques
before
employing
advanced
deep
learning
various
convolutional
neural
network
configurations.
presents
several
learning-based
models
analyze
video
classify
categories
method
sequence/stream
based
on
motion.
research
developed
real
dataset
behaviors
conducted
comprehensive
experiments
pre-trained
suggested
deep-learning
models.
evaluated
standard
performance
criteria,
You
Only
Look
Once
(YOLO)v5
model
outperforms
fine-tuned
approaches
detecting
activity.
Periodicals of Engineering and Natural Sciences (PEN),
Год журнала:
2023,
Номер
11(2), С. 262 - 262
Опубликована: Апрель 11, 2023
Digital
Citizenship
(DC)
is
a
set
of
rules,
controls,
standards,
norms,
ideas,
and
principles
followed
in
the
optimal
proper
use
technology,
which
citizens,
young
old,
need
to
contribute
progress
nation.
In
short,
it
guidance
protection,
benefits
modern
technologies,
protection
from
their
dangers.
Or
more
precisely,
smart
approach
technology.
The
concept
digital
citizenship
has
strong
relationship
with
education
system,
so
academics
higher
scientific
research
institutions
must
be
most
experienced,
effective
among
students
this
field.
Especially
after
Corona
pandemic
trend
that
universe
gone
through
towards
using
internet
all
areas
life,
including
education,
especially
integrated
become
very
important
for
citizen
digital.
This
study
dealt
sample
university
professors
(200)
questionnaires.
All
who
belong
colleges
human
specialization
possess
citizenship.
There
are
no
differences
between
gender
except
axis,
was
favor
teaching
staff
male.
addition
specialization,
science.
International Journal of Emerging Technologies in Learning (iJET),
Год журнала:
2022,
Номер
17(24), С. 208 - 218
Опубликована: Дек. 20, 2022
The
research
aims
to
find
the
impact
of
a
proposed
strategy
according
Luria
model
on
realistic
thinking
among
fifth-class
scientific
students
and
their
achievement
in
mathematics.
To
achieve
it,
experimental
method
quasi-experimental
design
were
used
for
two
equal
groups,
one
them
is
control
group
taught
traditional
way
other
an
based
model.
community
represents
fifth
class
from
General
Directorate
Education
Karkh
First.
sample
(40)
deliberately
chosen
distributed
equally
between
groups
after
making
sure
that
they
equals
previous
mathematics,
level
intelligence,
chronological
age.
For
purpose
collecting
data
experiment,
2
test
built
both
objective,
i.e.,
multiple
choice;
consisted
(15)
items,
addition
test,
which
its
final
form
(20).
results
indicated
who
studied
outperformed
by
usual
method.
In
light
results,
researcher
recommended
number
recommendations.
International Journal of Emerging Technologies in Learning (iJET),
Год журнала:
2023,
Номер
18(07), С. 103 - 115
Опубликована: Апрель 5, 2023
The
aim
of
the
research
is
to
identify
effect
a
scenario-based
learning
in
mathematics
achievement
and
mental
motivation
for
fifth
-
scientific
grade
students
high
school.
To
achieve
it,
researchers
adopted
experimental
method
with
two
groups
(experimental
control)
post-test.
community
was
identified,
which
represents
from
first
Karkh
Education
Directorate.
sample
(60)
were
chosen
intentionally,
divided
into
groups:
an
group
that
studied
according
model;
control
usual
method.
For
purpose
collecting
data
experiment,
test
built,
its
final
form,
consisting
(10)
items
type
essay,
scale,
items.
Appropriate
statistical
analyzes
conducted,
psychometric
properties
scale
confirmed.
results
indicated
who
model
outperformed
traditional
International Journal of Emerging Technologies in Learning (iJET),
Год журнала:
2023,
Номер
18(04), С. 50 - 65
Опубликована: Фев. 23, 2023
The
aim
of
the
research
is
to
know
effect
a
training
program
based
on
interactive
teaching
strategies
achievement
and
creative
problem
solving
among
fourth-grade
students
in
chemistry
directorate
education
Rusafa
first,
sample
was
divided
into
two
groups,
one
experimental
numbering
(29)
other
control
group
(30)
students.
underwent
first
semester
year
(2021-2022)
studied
according
usual
method.
Two
tools
were
built,
being
an
academic
test
consisting
(40)
multiple-choice
items,
second
problem-solving
skills
subject
(10)
essay
questions.
results,
using
t-test
for
independent
samples,
showed
that
there
statistically
significant
difference
at
level
(0.05)
favor
average
scores
who
applied
which
strategies.
