Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska,
Год журнала:
2023,
Номер
13(4), С. 79 - 84
Опубликована: Дек. 20, 2023
The
paper
considers
the
use
of
cloud
technologies
in
education
through
prism
bibliographic
analysis.
article
characterizes
current
state
education,
summarizes
trends,
and
forecasts
directions
recent
scientific
research.
leading
research
methods
were
(visual
quantitative)
analysis
keyword
networks
qualitative
discussion.
is
based
on
publications
indexed
by
scientometric
database
Web
Of
Science
over
past
20
years.
sample
for
was
formed
searching
words
technology,
learning,
teaching.
results
study
showed:
a
significant
increase
popularity
years;
an
number
studies
related
to
various
aspects
educational
activities
under
influence
Industry
4.0;
gradual
virtualization
process
artificial
intelligence
education;
dissemination
effectiveness
types
training
using
services
teaching
intelligence;
relevance
trend
visualization
material
visual
education.
discussion
provided
grounds
identify
general
trends
regarding
future
directions.:
development
mass
online
courses
learning
(immersive,
virtual,
augmented,
mixed
reality,
gaming
technologies,
BYOD
approach);
further
universities;
inclusive
analytics,
assessment
(formative
adaptive
computer
assessment);
early
teachers
specialized
subject
learning;
(big
data,
design,
simulation,
simulation
processes,
etc.)
designing
relevant
new
academic
disciplines;
STEM
STEAM
European Journal of Investigation in Health Psychology and Education,
Год журнала:
2024,
Номер
14(7), С. 1981 - 1995
Опубликована: Июль 8, 2024
The
intensive
adoption
of
ChatGPT
by
university
students
for
learning
has
encouraged
many
scholars
to
test
the
variables
that
impact
on
their
use
such
AI
in
learning.
This
study
adds
growing
body
studies,
especially
relation
moderating
role
students'
gender
and
discipline
acceptance
usage
process.
expanded
Unified
Theory
Acceptance
Use
Technology
(UTAUT)
integrating
as
well
disciplines
moderators.
collected
responses
from
Saudi
universities
with
different
genders.
results
a
structural
model
using
Smart
PLS
showed
significant
effect
relationship
between
performance
expectancy
usage.
confirmed
fostering
was
stronger
male
than
female
students.
Moreover,
social
influence
shown
significantly
affect
males
more
females
In
addition,
findings
moderates
link
same
vein,
influences
sciences
applied
sciences.
Hence,
various
implications
were
discussed.
Quality Assurance in Education,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 27, 2024
Purpose
Artificial
intelligence
(AI)
has
the
potential
to
address
significant
challenges
in
education,
innovate
learning
and
teaching
practices
achieve
SDG
4.
However,
existing
literature
often
overlooks
behavioural
aspects
of
students
regarding
AI
focusing
predominantly
on
technical
pedagogical
dimensions.
Hence,
this
study
aims
explore
relationships
among
literacy,
usage,
outcomes
academic
performance
generation
Z
Indian
educational
context.
Design/methodology/approach
The
used
structural
equation
modelling
(SEM)
Gen
born
years
1997–2012
as
a
sample
population
for
research
north
states
like
Punjab,
Haryana,
Himachal
regions
Chandigarh
N.C.R.
Delhi.
Findings
results
established
positive
between
performance.
Specifically,
higher
levels
literacy
were
associated
with
increased
engagement
technologies
tools
purposes,
leading
better
findings
demonstrated
that
plays
crucial
role
providing
effective
experiences
fostering
skills
such
problem-solving
critical
thinking
students.
Research
limitations/implications
implications
include
significance
integrating
education
initiatives
into
curricula,
prioritising
professional
development
programmes
educators
making
sure
every
student
equitable
access
technologies.
Originality/value
introduces
novel
perspective
by
examining
variables
developing
model
not
been
previously
studied.
It
provides
new
discourse
proposes
framework
uniquely
combining
AI-infused
curriculum
design,
educator
empowerment,
robust
assessment
mechanisms
sustainable
practices.
Frontiers in Education,
Год журнала:
2024,
Номер
9
Опубликована: Апрель 26, 2024
This
systematic
review
investigates
the
potential
benefits
of
integrating
ChatGPT
in
higher
education.
Focusing
on
ChatGPT’s
impact,
study
identifies
themes
such
as
role
teaching
and
instruction,
enhancing
student
learning
engagement,
aiding
language
learning,
promoting
inclusivity.
The
underscores
ability
to
reshape
educational
landscape,
improve
research
writing,
bridge
gaps,
address
specific
challenges.
emerges
a
transformative
tool
empowering
educators
students,
aligning
with
Saudi
Arabia’s
pursuit
academic
excellence
future
workforce
readiness.
The
current
research
provides
a
thorough
examination
of
the
impact
Artificial
Intelligence
(AI)
in
realm
higher
education.
This
study
undertakes
comprehensive
relevant
scholarly
material
published
between
2019
and
2023.
It
investigates
AI
technologies
on
improvement
customized
learning,
academic
writing,
abilities
among
students
at
university
level.
primary
focal
points
include
influence
artificial
intelligence
educational
achievements,
readiness
educators
to
incorporate
into
their
pedagogical
approaches,
ethical
ramifications
associated
with
use
environments.
results
demonstrate
that
integration
technology
settings
has
substantial
positive
student
engagement
achievement.
However,
it
is
important
acknowledge
address
certain
issues
arise
this
context,
including
need
ensure
possess
necessary
skills
knowledge
effectively
AI,
as
well
considerations
its
implementation.
not
only
emphasizes
potential
revolutionizing
education
but
also
well-rounded
implementation
strategy
takes
account
both
capabilities
limits
AI.
establishes
basis
for
future
investigations,
specifically
focusing
formulation
approaches
are
efficient
morally
sound
inside
Ethics & Behavior,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Окт. 25, 2024
This
study
examines
researchers'
ethical
concerns
toward
the
deployment
of
GenAI
in
research
and
their
emotional
responses.
To
acquire
an
in-depth
understanding,
we
used
narrative
frames
follow-up
interviews
to
collect
data
from
22
researchers
who
reported
extensive
experience
with
GenAI.
An
inductive
thematic
analysis
revealed
three
themes
capturing
that
invoked
types
reactions.
From
perspective,
our
participants
were
concerned
"human
agency
AI
practices,"
"cognitive
impacts
overreliance
on
research,"
"ethical
issues
access,
accuracy,
privacy."
they
showed
"mixed
emotions,"
"positive
"negative
emotions"
when
dealing
tools.
There
close
connections
between
implications
reactions
them.
In
this
light,
conclude
GenAI,
which
are
determinants
future
use,
should
be
taken
more
seriously
further
research.
International Journal of Computer-Assisted Language Learning and Teaching,
Год журнала:
2025,
Номер
14(1), С. 1 - 19
Опубликована: Янв. 10, 2025
This
research
explores
the
impact
of
ChatGPT,
an
AI
tool,
on
ESL
students'
writing
proficiency
at
a
Saudi
Arabian
university.
Using
mixed-methods
approach,
data
from
130
students
showed
significant
positive
effect
their
writing.
A
focus
group
interview
with
six
highlighted
opportunities
such
as
personalized
feedback,
language
skill
development,
vocabulary
expansion,
and
greater
autonomy.
However,
challenges
included
lack
contextual
understanding,
loss
individuality
in
writing,
reduced
creativity,
ethical
concerns.
The
findings
offer
valuable
insights
for
educators
how
to
effectively
integrate
ChatGPT
into
instruction
while
addressing
its
challenges.
ChatGPT,
an
AI
chatbot
created
by
OpenAI
in
November
2022,
has
caught
the
attention
of
scholars
due
to
its
potential
higher
education.
Despite
benefits
personalized
learning,
academic
assistance,
and
task
automation,
concerns
remain
regarding
impact
on
students'
logical
reasoning
integrity.
Drawing
Technology
Acceptance
Model
(TAM),
this
study
explored
predictors
behavioral
intention
use
ChatGPT
(BIU)
for
purposes
among
university
students
Mogadishu,
Somalia.
Using
a
cross-sectional
quantitative
design,
we
gathered
data
via
online
survey
299
from
four
universities
Structural
equation
modeling
with
SmartPLS
4
was
used
analyze
proposed
relationships.
The
results
uncovered
that
perceived
usefulness,
ease
use,
social
influence,
hedonic
motivation,
credibility
have
positively
significantly
impacted
ChatGPT.
Surprisingly,
findings
depicted
information
accuracy
negatively
moderates
association
between
study's
result
implies
explicit
guidelines
should
be
established
Somali
education
facilitate
proper
utilization
ensuring
it
improves
learning
while
mitigating
issues
over
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Фев. 19, 2025
In
order
to
solve
the
problems
of
inefficient
allocation
teaching
resources
and
inaccurate
recommendation
learning
paths
in
higher
education,
this
paper
proposes
a
smart
education
optimization
model
(SEOM)
by
combining
improved
random
forest
algorithm
(RFA)
based
on
adaptive
enhancement
mechanism
Graph
Neural
Network
(GNN)
algorithm.
The
public
data
information
such
as
national
intelligent
platform
are
collected,
SEOM
is
trained
verified.
results
show
that
has
high
accuracy
generalization
ability
three
different
scenes:
online
mixed
teaching,
personalized
project-based
teaching.
Root
Mean
Square
Error
(RMSE)
value
cross-validation
between
0.2
0.5,
Absolute
(MAE)
0.1
0.5.
shows
strong
stability
when
dealing
with
multidimensional
educational
complex
modes.
rate
remains
at
85-97%,
indicating
its
reliability
path
recommendation.
Further
analysis
chi-square
freedom
ratio
1.0
2.5,
fitting
index
adjusted
both
above
0.85,
comparative
close
0.95,
which
rationality
capturing
dependence
knowledge
points
Residual
(RMR)
Approximation
(RMSEA)
below
0.05,
indicates
small
residual
scene
adaptability.
addition,
abnormal
network
environment,
resource
efficiency
60%,
Shapley
0.4,
can
adapt
change
environment
effect
still
obvious.
Generally
speaking,
optimize
recommend
effectively
improve
intelligence
decision-making,
especially
for
university
administrators
technology
developers.
International Nursing Review,
Год журнала:
2025,
Номер
72(1)
Опубликована: Март 1, 2025
Abstract
Aim
This
study
explored
the
ethical
boundaries
and
data‐sharing
practices
in
artificial
intelligence
(AI)‐enhanced
nursing
from
perspective
of
Arab
nurses.
Background
Although
AI
offers
advancements
clinical
decision‐making
operational
efficiency,
it
also
presents
challenges
such
as
dilemmas,
data
privacy
concerns,
technical
issues.
These
are
being
addressed
through
continuous
education,
development
robust
guidelines,
implementation
transparent
Methods
A
qualitative
approach
was
employed,
adhering
to
Standards
for
Reporting
Qualitative
Research
(SRQR)
guidelines.
Fourteen
registered
nurses
healthcare
facilities
Abha
City,
Saudi
Arabia,
were
selected
purposive
sampling.
Data
collected
semistructured
interviews,
observational
document
analysis.
Thematic
analysis
used
analyze
data.
Results
Nurses
reported
that
technologies
enhance
efficiency
by
automating
routine
tasks.
However,
they
highlighted
challenges,
including
conflicts
between
recommendations
patient
preferences,
need
training,
resource
constraints.
The
importance
maintaining
human
interaction
empathy
practice
emphasized.
Discussion
findings
align
with
existing
literature
on
benefits
nursing.
Ethical
particularly
related
informed
consent,
require
careful
management.
Continuous
education
adequate
resources
essential
successful
integration.
Conclusion
not
only
significant
but
practical
challenges.
Clear
crucial
optimizing
Implications
can
allowing
focus
critical
thinking.
health
policy
Develop
frameworks
protection
regulations.
Implement
professional
programs
ensure
integration
healthcare.