Applying an augmented reality game-based learning environment in physical education classes to enhance sports motivation
Retos,
Год журнала:
2024,
Номер
60, С. 269 - 278
Опубликована: Авг. 27, 2024
This
research
investigates
the
impact
of
an
Augmented
Reality
(AR)
game-based
learning
environment
on
enhancing
motivation
and
physical
activity
levels
in
sports
education.
The
study
involved
two
groups
30
students
each,
with
one
group
using
AR-enhanced
other
participating
traditional
education
methods.
Over
course
semester,
data
were
collected
through
structured
questionnaires
monitoring.
analysis,
which
included
independent
samples
t-tests
Levene's
tests
for
equality
variances,
revealed
that
exhibited
significantly
higher
compared
to
control
group.
These
findings
suggest
AR
can
transform
by
making
experiences
more
engaging
interactive,
thereby
increasing
student
participation
enthusiasm.
supports
integration
technologies
educational
curricula
enhance
dynamics
outcomes
It
also
underscores
need
further
explore
scalability
long-term
impacts
applications
across
various
settings
disciplines.
this
advocate
a
systematic
inclusion
innovative
technological
solutions
meet
evolving
needs
learners
educators
increasingly
digital
interactive
environments
today.
Keywords:
augmented
reality,
learning,
education,
enhancement,
motivational
improvement,
technology
integration,
environments.
Язык: Английский
Exploring changes in attitudes towards doping in sport in different groups of the russian population: a mixed methods study with policy recommendations
Retos,
Год журнала:
2024,
Номер
58, С. 855 - 861
Опубликована: Июль 17, 2024
Introduction:
This
article
examines
the
evolution
of
anti-doping
culture
in
Russia
through
a
comparative
analysis
sociological
surveys
conducted
2019,
2020,
and
2021.
It
focuses
on
changing
attitudes
Russian
citizens
towards
doping
sports,
their
awareness
regulations,
underlying
causes
motivations
for
violations
rules.
The
significance
understanding
public
opinion
countermeasures
is
highlighted,
underscoring
its
value
specialists,
researchers,
executive
authorities
addressing
mitigating
issue.
Materials
Methods:
study
employed
across
various
categories
groups
within
population,
spanning
three
consecutive
years.
These
aimed
to
gather
comprehensive
insights
into
public's
perception
doping,
knowledge
efforts,
effectiveness
existing
measures.
methodology
was
designed
enable
detailed
analysis,
shedding
light
trends
shifts
over
time.
Results:
Findings
from
reveal
noticeable
development
among
marked
by
changes
use
growing
research
identified
specific
motives
behind
rule
violations,
illustrating
complex
nature
Additionally,
provided
an
objective
assessment
problem's
scale,
based
social
banned
substances,
whether
natural,
narcotic,
or
synthetic
origin.
Conclusions:
paper
concludes
with
up-to-date
data
situation
Federation
perspectives
scientists
enhancing
efforts.
Based
authors
propose
set
measures
at
improving
activities
Russia.
recommendations
are
intended
bolster
fight
against
reflecting
study's
contribution
forming
societal
this
challenge
paving
way
more
effective
countermeasures.
Keywords:
rules,
measures,
culture,
toward
poll.
Язык: Английский
Enhancing deadlift training through an artificial intelligence-driven personal coaching system using skeletal analysis
Retos,
Год журнала:
2024,
Номер
60, С. 439 - 448
Опубликована: Авг. 27, 2024
This
paper
presents
an
innovative
AI-driven
personal
coaching
system
designed
to
enhance
deadlift
training
through
advanced
skeletal
analysis
and
deep
learning
techniques.
The
proposed
employs
the
PoseNet
model
capture
analyze
real-time
video
feeds,
extracting
keypoint
coordinates
angles
monitor
user
posture
movements
accurately.
Utilizing
Local
Histograms
of
Oriented
Gradients
(LHOG)
Optical
Flow
(LHOF)
methods,
performs
comprehensive
feature
extraction,
assessing
both
static
dynamic
aspects
exercise.
model,
trained
on
extensive
dataset
correctly
incorrectly
performed
deadlifts,
classifies
correctness
exercise
with
high
accuracy,
providing
feedback
personalized
recommendations
users.
immediate
corrective
facilitates
prompt
adjustments,
reduces
injury
risk,
promotes
proper
technique,
enhancing
overall
efficacy
strength
training.
system's
ability
offer
user-specific
feedback,
tailored
individual
body
structures
movement
patterns,
ensures
relevance
effectiveness
in
diverse
environments.
Practical
applications
this
span
gyms,
rehabilitation
centers,
home
settings,
making
it
a
valuable
tool
for
trainers
physiotherapists.
While
study
demonstrates
significant
potential,
also
identifies
areas
future
research,
including
algorithm
refinement,
expansion,
integration
additional
metrics
technologies.
Overall,
represents
substantial
advancement
monitoring
improvement,
contributing
broader
field
fitness
health
technologies,
paving
way
safer
more
effective
routines.
Keywords:
coaching,
training,
analysis,
PoseNet,
learning,
monitoring,
feedback.
Язык: Английский