International Journal of Research Studies in Education,
Год журнала:
2024,
Номер
13(5)
Опубликована: Май 3, 2024
The
integration
of
Artificial
Intelligence
in
Education
(AIED)
stands
as
a
pivotal
trend
education,
yet
comprehensive
design
frameworks
remain
subject
ongoing
exploration.While
many
AIED
studies
are
still
their
early
stages
development
and
implementation,
the
uncertainties
challenges
surrounding
ethical
responsible
use
AI
education
persist.Anchoring
on
Activity
Theory,
this
paper
proposes
conceptual
framework,
aiming
to
construct
sustainable
ecosystem
for
within
dynamic
landscape
all
levels
education.Within
constructs
framework
endeavors
scrutinize
intricate
relationship
between
individuals
(learners),
learning
activities,
broader
socio-cultural
context
wherein
these
activities
unfold.Moreover,
advocates
collaborative
agreements
among
educators,
learners,
educational
institutions
essential
pillars
implementation
systems
tailored
education.In
essence,
serves
theoretical
proposition,
utilizing
Theory
lens
envisage
an
adaptive
ethically
specifically
crafted
address
nuanced
dynamics
inherent
education.It
urges
designers
meticulously
consider
interplay
technology,
sociocultural
fabric
when
devising
strategies
fostering
effective,
inclusive,
engaging
experiences.
Scientific Journal of Technology,
Год журнала:
2025,
Номер
7(2), С. 112 - 117
Опубликована: Фев. 21, 2025
With
the
advance
of
intelligent
technology,
AI
video
creation
tools
are
playing
an
extremely
important
role
in
improving
efficiency
and
optimizing
user
experience.
This
article
takes
in-depth
look
at
innovative
design
authoring
assesses
impact
these
innovations
on
satisfaction.
The
gradual
penetration
technology
industry
is
analyzed
detail,
application
automated
editing
deeply
analyzed.
Through
analysis
needs
creative
pain
points,
a
set
innovation
strategies
aimed
satisfaction
constructed.
It
includes
technological
that
improve
stability,
precise
insights
into
needs,
features
such
as
multi-platform
data
synchronization
cross-device
authoring.
study
found
to
has
greatly
improved
efficiency,
enriched
experience,
significantly
satisfaction,
opened
up
new
path
vision
for
progress
industry.
Education Sciences,
Год журнала:
2024,
Номер
14(9), С. 988 - 988
Опубликована: Сен. 8, 2024
Artificial
intelligence
(AI)
drives
new
modes
of
learning
and
improves
the
workflow
instructors.
Nevertheless,
there
are
concerns
about
academic
integrity,
plagiarism,
reduction
critical
thinking
in
higher
education.
Therefore,
it
is
important
to
record
analyze
university
social
sciences
students’
attitudes
toward
AI,
which
a
significant
predictor
later
use
AI
technologies.
A
sample
190
students
(82.45%
female)
from
Greek
department
was
selected.
Descriptive
statistics
revealed
that
were
mostly
positive.
principal
components
analysis
confirmed
three-component
solution
comprising
cognitive,
behavioral,
emotional
dimensions.
Comparative
three
indicated
dimension
highest
ranked,
followed
by
cognitive
behavioral
Pairwise
correlation
analyses
strongest
correlate
future
frequency
use,
general
feelings
safety
with
technology.
In
conclusion,
display
more
favorable
dispositions
AI.
The
background
prospective
play
key
role
formulation
University
educators
need
provide
teaching
improve
use.
Deleted Journal,
Год журнала:
2024,
Номер
20(3s), С. 1125 - 1137
Опубликована: Апрель 4, 2024
Background:
In
today's
digital
age,
consumers
interact
with
brands
through
various
channels,
including
websites,
social
media,
and
mobile
apps.
This
has
led
to
the
rise
of
"digital
consumers"
distinct
cognitive
skills
expectations.
Businesses
are
constantly
seeking
ways
improve
customer
experience
(CX)
stay
competitive.
Objective:
article
explores
how
artificial
intelligence
(AI)
is
transforming
consumer
experience.
Methods:
A
qualitative
research
approach
was
employed,
utilizing
literature
reviews,
expert
interviews,
case
studies
gain
insights
into
application
AI
in
interactions
its
impact
on
journey.
Findings:
The
found
that
integration
consumerism
created
new
trends
business,
enabling
personalized
dynamic
between
brands.
AI-powered
tools
like
recommendation
systems,
chatbots,
virtual
assistants
blur
lines
pre-purchase,
purchase,
post-purchase
stages,
offering
a
more
seamless
Conclusions:
potential
transform
future
e-commerce,
marketing,
service,
opening
horizons
for
both
businesses
consumers.
However,
challenges
related
data
privacy,
ethics,
algorithmic
biases
need
be
addressed.
Originality/Significance:
presents
an
original
contribution
understanding
evolving
this
landscape.
While
use
aspects
business
been
explored
Journal of Promotion Management,
Год журнала:
2024,
Номер
30(7), С. 1141 - 1158
Опубликована: Июнь 14, 2024
To
successfully
develop,
launch,
communicate,
and
promote
new
AI-intensive
products,
marketers
need
a
deep
understanding
of
how
attitudes
toward
science
technology
(S&T)
shape
positive
or
negative
AI
within
their
target
groups.
gain
insight
into
these
dynamics,
this
study
employs
non-metrical
multidimensional
scaling
to
map
the
opinions
European
consumers
(N
=
20,671)
regarding
S&T
AI.
The
results
reveal
strong
link
between
on
AI:
individuals
with
opinion
tend
have
attitude
AI,
vice
versa.
Regarding
sex
differences,
men
generally
exhibit
about
impact
society,
which
translates
very
among
both
older
younger
men.
In
contrast,
women
all
ages
more
view
leading
higher
likelihood
Incorporating
findings
marketing
promotion
strategies
will
help
practitioners
effectively
position
themselves
for
transition
an
AI-driven
society.
This
study
examines
the
impact
of
interval
training
combined
with
weighted
resistance
on
speed
enhancement
in
university
students.
Thirty
students
varied
academic
backgrounds
took
part
study,
,
at
first
and
second
semester
level..
The
intervention's
was
assessed
using
quantitative
(paired-sample
t-test)
qualitative
(theme
analysis)
methods.
Results
show
a
notable
increase
after
intervention
(p
<
0.001).
Qualitative
analysis
identifies
three
primary
themes:
heightened
self-confidence
(70%
participants),
improved
endurance
(80%
initial
adaptation
difficulties
(20%
participants).
results
indicate
that
improves
speed,
boosts
psychological
resilience,
helps
acquire
adaptive
skills.
Implications
involve
progress
athletic
techniques,
interdisciplinary
partnerships,
comprehensive
student
growth
initiatives.
For
lecturers
who
provide
learning
activities,
it
is
important
to
pay
attention
level
difficulty
faced
by
order
improve
their
abilities
through
appropriate
stages
according
students'
abilities.
At
same
time,
combination
various
scientific
disciplines
support
each
lecture
meeting
increases
providing
repeated
opportunities.
Keywords:
Psychological
Adaptive
skills,
Transformative
experiences.
Artificial
intelligence
(AI)
apps,
such
as
ChatGPT,
Gemini,
and
Siri,
have
taken
society
higher
education
institutions
by
storm.
Yet,
there
is
a
paucity
of
empirical
studies
recording
analysing
university
social
sciences
students’
attitudes
toward
AI.
Hence,
the
present
study
draws
upon
sample
190
students
(82.45%
female)
from
Greek
department
to
query
what
are
AI
in
future
employment
factors
correlated
with
these
attitudes.
Descriptive
statistics
revealed
that
were
mostly
positive.
A
principal
components
analysis
confirmed
three-component
solution
AI,
comprising
cognitive,
behavioural,
emotional
dimensions.
Comparative
three
indicated
dimension
was
highest
ranked,
followed
cognitive
behavioural
Pairwise
correlation
analyses
strongest
correlate
frequency
use,
general
feelings
safety
technology.
In
conclusion,
display
more
favourable
dispositions
The
background
prospective
use
play
key
role
formulation
University
educators
need
provide
teaching
learning
about
improve
use.
The International Review of Research in Open and Distributed Learning,
Год журнала:
2024,
Номер
25(3), С. 350 - 369
Опубликована: Авг. 26, 2024
Via
AI
video
generators,
it
is
possible
to
create
educational
videos
with
humanistic
instructors
by
simply
providing
a
script.
The
characteristics
of
types
and
features
in
impact
engagement
and,
consequently,
performance.
This
study
aimed
compare
the
human
AI-generated
lectures
on
academic
Additionally,
examine
students’
opinions
both
videos.
Convergent-parallel
approach
mixed
method
was
used
this
study.
A
total
108
undergraduate
students
participated:
48
experimental
group,
52
control
eight
focus
group.
While
group
(AI-generated
instructor)
(human
watched
10
minutes
two
each
weeks,
instructors.
Data
were
collected
through
Video
Engagement
Scale
(VES)
after
process,
Academic
Performance
Test
as
pretest
posttest
administered
groups.
findings
part
revealed
that
learners’
higher
course
instructor
compared
instructor.
However,
type
did
not
have
significant
effect
results
based
qualitative
showed
thought
caused
distraction,
discomfort,
disconnectedness.
when
lesson
topic
interesting
or
focused
intention
learning,
these
feelings
could
be
ignored.
In
conclusion,
even
today’s
conditions,
there
no
difference
performance
between
As
technology
continues
develop,
expected
disappear,
effectively
lectures.
