Heliyon,
Год журнала:
2024,
Номер
10(10), С. e31076 - e31076
Опубликована: Май 1, 2024
An
increasing
number
of
students
with
special
educational
needs
(SEN)
are
attending
higher
education
institutions.
Faculty
members
key
players
in
the
implementation
inclusive
policies,
success
which
depends
on
their
attitudes
and
awareness
to
help
SEN.
Heliyon,
Год журнала:
2024,
Номер
10(11), С. e32220 - e32220
Опубликована: Май 31, 2024
This
study
investigates
the
determinants
of
ChatGPT
adoption
among
university
students
and
its
impact
on
learning
satisfaction.
Utilizing
Technology
Acceptance
Model
(TAM)
incorporating
insights
from
interaction
learning,
collaborative
information
quality,
a
structural
equation
modeling
approach
was
employed.
research
collected
valuable
responses
262
at
King
Faisal
University
in
Saudi
Arabia
through
use
self-report
questionnaires.
The
data's
reliability
validity
were
assessed
using
confirmation
factor
analysis,
followed
by
path
analysis
to
explore
hypotheses
proposed
model.
results
indicate
pivotal
roles
fostering
adoption.
Social
played
significant
role,
as
researchers
engaging
conversations
knowledge-sharing
expressed
increased
comfort
with
ChatGPT.
Information
quality
found
substantially
influence
researchers'
decisions
continue
ChatGPT,
emphasizing
need
for
ongoing
improvement
accuracy
relevance
content
provided.
Perceived
ease
perceived
usefulness
intermediary
linking
engagement
User-friendly
interfaces
utility
identified
crucial
factors
affecting
overall
satisfaction
levels.
Notably,
positively
impacted
motivation,
indicating
potential
enhance
student
interest
learning.
study's
findings
have
implications
educational
practitioners
seeking
improve
implementation
AI
technologies
students,
user-friendly
design,
influencing
concludes
into
complex
interplay
between
AI-powered
tools,
objectives,
highlighting
continued
comprehensively
understand
these
dynamics.
Sustainability,
Год журнала:
2023,
Номер
15(24), С. 16928 - 16928
Опубликована: Дек. 18, 2023
The
application
of
generative
artificial
intelligence
in
the
field
education
has
been
receiving
increasing
attention,
with
performance
chatbot
ChatGPT
being
particularly
prominent.
This
study
aims
to
explore
depth
impact
on
higher
students
utilizing
ChatGPT.
To
this
end,
we
conducted
a
survey
448
university
and
employed
partial-least
squares
(PLS)
method
structural
equation
modeling
for
data
analysis.
results
indicate
that
all
eight
hypothetical
paths
posited
were
supported,
surprisingly,
hypothesis
technology
characteristics
have
direct
effect
was
supported.
Moreover,
found
overall
quality
is
crucial
factor
determining
impact.
Overall
indirectly
affects
through
task-technology
fit,
characteristics,
compatibility,
among
which
mediating
compatibility
most
significant,
followed
by
characteristics.
offers
practical
recommendations
proper
use
during
learning
process
assists
developers
enhancing
services
system.
E-learning
has
revolutionized
the
educational
landscape,
changing
how
knowledge
is
imparted
to
students
and
enhancing
learning
process.
Despite
growing
popularity
of
e-learning
worldwide,
a
lingering
question
remains
regarding
behavioral
intentions
Physical
Education
toward
its
use.
This
study
endeavors
address
this
issue
by
utilizing
structural
equation
model
(SEM)
explore
factors
mechanisms
influencing
adoption
among
students.
The
collected
data
from
504
enrolled
in
system
at
universities
China.
results
reveal
that
attitudes
(β
=
.37),
subjective
norms
.29),
facilitating
conditions
.45)
significantly
influence
students’
intention
use
e-learning.
Interestingly,
expected
association
between
perceived
usefulness
−.11)
was
nonsignificant.
These
findings
highlight
importance
improving
technical
organizational
support,
as
well
necessity
for
further
empirical
research
on
instructional
strategies
promote
effective
BMC Medical Education,
Год журнала:
2024,
Номер
24(1)
Опубликована: Июнь 7, 2024
Abstract
Background
The
rapid
growth
of
artificial
intelligence
(AI)
technologies
has
been
driven
by
the
latest
advances
in
computing
power.
Although,
there
exists
a
dearth
research
on
application
AI
medical
education.
Methods
this
study
is
based
TAM-ISSM-UTAUT
model
and
introduces
STARA
awareness
chilling
effect
as
moderating
variables.
A
total
657
valid
questionnaires
were
collected
from
students
university
Dalian,
China,
data
statistically
described
using
SPSS
version
26,
Amos
3.0
software
was
used
to
validate
model,
well
moderated
effects
analysis
Process
(3.3.1)
software,
Origin
(2021)
software.
Results
findings
reveal
that
both
information
quality
perceived
usefulness
are
pivotal
factors
positively
influence
willingness
use
products.
It
also
uncovers
awareness.
Conclusions
This
suggests
enhancing
can
be
key
strategy
encourage
widespread
Furthermore,
investigation
offers
valuable
insights
into
intersection
education
standpoint
students.
may
prove
pertinent
shaping
promotion
Medical
Education
Intelligence
future.
F1000Research,
Год журнала:
2025,
Номер
14, С. 61 - 61
Опубликована: Янв. 10, 2025
Background
Bibliometric
studies
that
employ
quantitative
methods
are
pivotal
for
evaluating
and
analysing
the
dissemination
of
scientific
knowledge
across
various
disciplines.
These
assess
impact
reach
scholarly
works
by
examining
citation
patterns,
authorship
trends,
publication
metrics.
Methods
This
study
examines
Saudi
Arabia’s
research
paper
output
indexed
in
Scopus
database,
utilizing
bibliographic
data
from
SciVal
database.
provides
comprehensive
cross-searching
capabilities
indices
databases,
offering
multidisciplinary
information
high-impact
journals.
The
aggregation
includes
filtering
options
such
as
years,
subject
areas,
sources,
counts,
productivity
metrics
researchers,
institutions,
countries.
Results
focuses
on
performance
its
top
universities
2013–2022.
Additionally,
average
per
capita
GDP
total
past
nine
years
was
sourced
World
Bank
data.
analysis
encompasses
all
nations
published
articles
annually
within
specified
period.
present
revealed
Arabia
increased
320%,
with
an
annual
growth
rate
16%.
Conclusion
insights
into
leading
universities,
contributing
to
a
broader
understanding
global
economic
context.
idea
other
balance
their
vis-a-vis
growth.
University Management Practice and Analysis,
Год журнала:
2025,
Номер
28(4), С. 82 - 94
Опубликована: Фев. 21, 2025
The
widespread
adoption
of
online
formats
in
2020
established
a
trend
towards
the
development
education
and
intensified
issue
assessing
quality
distance
higher
programs.
subsequent
necessity
to
adapt
post-pandemic
context
prompted
universities
develop
both
new
programs
innovative
approaches
managing
their
quality.
Despite
proliferation
formats,
there
is
lack
publications
analyzing
evolution
internal
assurance
mechanisms
such
contexts.
This
study
examines
dynamics
emergence
transformation
evaluation
models
for
university
from
2009
2023.
research
compares
17
focused
on
various
aspects
educational
process,
thereby
tracing
mechanisms.
analysis
conducted
based
parameters
identified
through
literature
review
as
well
during
course
itself.
results
allow
identification
three
developmental
periods
these
models:
experimental,
transitional,
contemporary.
Educational
that
are
present
all
within
sample
(technologies,
student-centered
design,
teaching)
distinguished
those
characteristic
only
some
(environment
development,
resource
reuse,
support
students,
faculty,
staff,
communication).
A
description
each
aspect
provided,
along
with
connection
concept
environments.
work
may
be
beneficial
researchers
field
assurance,
administrators,
policy
specialists.