Integrating feedback mechanisms and ChatGPT for VR-based experiential learning: impacts on reflective thinking and AIoT physical hands-on tasks
Interactive Learning Environments,
Год журнала:
2024,
Номер
unknown, С. 1 - 18
Опубликована: Июль 15, 2024
This
study
investigates
the
application
of
Virtual
Reality
(VR)
in
educational
field,
particularly
its
integration
with
GAI
technologies
such
as
ChatGPT
to
enhance
learning
experience.
The
research
indicates
that
while
VR
provides
an
immersive
environment
fostering
student
interaction
and
interest,
lack
a
structured
framework
personalized
feedback
may
limit
effectiveness
potentially
affect
transfer
VR-learned
knowledge
physical
hands-on
tasks.
Hence,
it
calls
for
provision
more
targeted
environments.
Through
randomized
controlled
trial
(RCT),
this
collected
data
from
77
university
students,
integrating
experiential
acquiring
AIoT
practical
skills,
compared
effects
traditional
versus
GPT
on
promoting
reflective
thinking,
motivation,
cognitive
levels,
abilities
among
students.
results
show
group
receiving
significantly
outperformed
control
across
these
indicators,
demonstrating
providing
support,
facilitating
deep
learning,
enhancing
outcomes.
offers
new
insights
into
technology
environments,
paving
pathways
development
future
technologies.
Язык: Английский
Stakeholder's Perspective on Smart Farming Robotic Solutions
Smart Agricultural Technology,
Год журнала:
2025,
Номер
unknown, С. 100916 - 100916
Опубликована: Март 1, 2025
Язык: Английский
Enhancing Education in Agriculture via XR-Based Digital Twins: A Novel Approach for the Next Generation
Applied System Innovation,
Год журнала:
2025,
Номер
8(2), С. 38 - 38
Опубликована: Март 17, 2025
Integrating
Artificial
Intelligence
(AI)
and
Extended
Reality
(XR)
technologies
into
agriculture
presents
a
transformative
opportunity
to
modernize
education
sustainable
food
production.
Traditional
training
remains
resource-intensive,
time-consuming,
geographically
restrictive,
limiting
scalability.
This
study
explores
an
AI-driven
Digital
Twin
(DT)
system
embedded
within
gamified
XR
environment
designed
enhance
decision-making,
resource
management,
practical
in
viticulture
as
well
woody
crop
management.
A
survey
among
stakeholders
the
viticultural
sector
revealed
that
participants
are
increasingly
open
adopting
Virtual
(VR)
combined
with
AI-enhanced
technologies,
signaling
readiness
for
digital
learning
transformation
field.
The
4.48/7
willingness
adopt
XR-based
training,
4.85/7
interest
solutions
precision
agriculture,
moderate
climate
change
concern
of
4.16/7,
indicating
strong
transformation.
Our
findings
confirm
combining
AI-powered
virtual
educators
DT
simulations
provides
interactive,
real-time
feedback,
allowing
users
experiment
vineyard
management
strategies
risk-free
setting.
Unlike
previous
studies
focusing
on
monitoring
or
AI-based
decision
support,
this
examines
potential
Twins
(DTs)
personal
assistants
improve
overall
productivity
agriculture.
Proof-of-concept
implementations
Unity
Oculus
Quest
3
demonstrate
how
NPC
can
personalize
simulate
adaptation
strategies,
stakeholder
engagement.
research
employs
design-oriented
approach,
integrating
feedback
from
industry
experts
end-users
refine
educational
applications
DTs
Furthermore,
highlights
proof-of-concept
using
cross
game
engine
platform,
showcasing
environments
where
students
interact
simulated
settings.
innovations
support
farmers
enhancing
yields
play
important
role
educating
next
generation
farmers.
Язык: Английский
A Conceptual Study on Utilization of Artificial Intelligence (AI), Virtual Reality (VR) and Augmented Reality (AR) on Green Education: Effectiveness and Engagement
Lecture notes in networks and systems,
Год журнала:
2025,
Номер
unknown, С. 270 - 278
Опубликована: Янв. 1, 2025
Язык: Английский
Navigating the Educational Landscape: The Transformative Power of Smart Classroom Technology
Journal of the Knowledge Economy,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 2, 2024
Язык: Английский
Innovating methods of agricultural development research and practice
Advancements in Agricultural Development,
Год журнала:
2024,
Номер
5(2), С. 1 - 5
Опубликована: Янв. 31, 2024
As
we
race
towards
2030,
the
target
date
for
achieving
U.N.
Sustainable
Development
Goals,
it
is
critical
that
examine
our
approaches
to
agricultural
development
research
and
practice.
We
should
not
expect
extraordinary
results
by
using
have
always
used.
Rather,
must
innovate.
To
end,
Advancements
in
Agricultural
held
a
Symposium
on
Methods
of
Research
Practice
October
2023
University
Reading
campus,
co-hosted
School
Agriculture,
Policy
Development.
invited
recognized
experts
from
around
world
develop
papers
focused
innovative
methods
practice
or
research.
had
ten
presented
were
authored
26
researchers
representing
13
universities/research
institutes
6
countries.
Sixteen
authors
attended
symposium
present
their
papers.
A
healthy
dialogue
followed
each
presentation
help
refine
papers,
resulting
articles
published
this
special
issue.
summary
article
provided.
Язык: Английский
Developing Technical Agriculture Skills Through Laboratory Instruction in School-Based Agricultural Education
Advances in higher education and professional development book series,
Год журнала:
2024,
Номер
unknown, С. 52 - 78
Опубликована: Май 6, 2024
In
the
context
of
school-based
agricultural
education
(SBAE),
technical
agriculture
skill
instruction
frequently
spans
full
gamut
industry.
Specifically,
teachers
are
tasked
with
providing
students
in
numerous
content
areas,
such
as
animal
science,
plant
and
mechanics.
The
teaching
learning
these
skills
meant
to
expose
various
facets
help
advance
their
college
career
readiness.
Delivering
school
laboratories
is
a
common
component
SBAE
programming.
Due
nature
this
type
instruction,
there
range
factors
that
must
be
considered
when
using
facilitate
development,
laboratory
management
teacher
competence.
This
chapter
will
explore
concepts
supporting
literature
more
deeply.
Further,
also
identify
current
gaps
scholarly
provide
recommendations
scholars
consider.
Язык: Английский
Navigating the Virtual Classroom With Virtual Reality
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 29 - 54
Опубликована: Ноя. 27, 2024
The
COVID-19
pandemic
has
dramatically
impacted
global
education,
necessitating
the
development
of
more
adaptable
and
innovative
learning
paradigms.
Immersive
technologies
such
as
Augmented
Reality
(AR),
Virtual
(VR),
Mixed
(MR)
present
substantial
potential
for
enhancing
educational
experiences
by
making
interactive
accessible.
These
are
transforming
various
fields,
including
vocational
medical
training,
Architecture,
Engineering,
Construction
(AEC)
sector.
This
paper
explores
benefits
challenges
integrating
VR
into
settings,
highlighting
its
role
in
bridging
gap
between
theoretical
practical
learning,
improving
student
engagement
motivation,
offering
cost-effective
training
solutions.
findings
suggest
that
while
is
not
a
complete
replacement
traditional
it
valuable
supplementary
tool
can
significantly
enhance
outcomes.
Язык: Английский
Using Image Augmentation Techniques and Convolutional Neural Networks to Identify Insect Infestations on Tomatoes
Heliyon,
Год журнала:
2024,
Номер
11(1), С. e41480 - e41480
Опубликована: Дек. 26, 2024
Pest
insects
are
a
danger
to
both
regional
and
global
food
security.
In
Jordan,
the
most
productive
crop
is
tomato.
Jordan's
agriculture
output
threatened
by
insect
infestations.
The
study
intends
use
deep
learning
model
called
convolutional
neural
networks
on
dataset
that
includes
eight
categories
of
pest
images.
A
was
used
group
images
from
reliable
sources
were
added
it.
image
collection
analyzed,
an
augmentation
technique
increase
number
images,
which
reached
5894
after
augmentation.
data
split
among
80
%
training
20
validation.
Convolutional
Neural
Networks
trained
achieved
90
accuracy,
85
testing
87
validation
accuracy.
high-accuracy
developed
may
be
utilized
mobile
applications
detect
pests
affected
crops
assist
farmers.
original
database
small
in
size.
When
tested
machine
systems,
accuracy
very
low,
reaching
50-60
without
augmentation,
despite
enhancement
techniques.
Язык: Английский