Behavioral Sciences,
Год журнала:
2025,
Номер
15(3), С. 286 - 286
Опубликована: Фев. 28, 2025
Digital
literacy
is
the
core
competitiveness
and
necessary
ability
that
international
students
should
cultivate
while
studying
in
China
context
of
education
digitalization,
this
paper
mainly
explores
whether
epistemic
curiosity
can
affect
digital
China.
Based
on
Technology
Acceptance
Model,
introduces
variable
curiosity,
uses
questionnaire
survey
method
quantitative
tools
(SPSS
AMOS
software)
to
construct
a
model
cognition–perception–formation
mechanism
students’
China,
obtains
following
conclusions:
Firstly,
both
interest-
deprivation-type
directly
promote
Secondly,
discusses
how
under
mediating
effect
perceived
usefulness.
Finally,
ease
use
also
indirectly
relationship
between
The
contribution
highlight
formation
cross-cultural
contexts
explore
To
certain
extent,
reveals
potential
process
resources
transform
into
provides
useful
evidence
for
further
development
attractive
resources.
Journal of Open Innovation Technology Market and Complexity,
Год журнала:
2023,
Номер
9(3), С. 100111 - 100111
Опубликована: Авг. 7, 2023
Business
intelligence
(BI)
has
become
increasingly
popular
among
executives
in
various
industries
owing
to
its
potential
facilitate
informed
decision-making.
Nevertheless,
adoption
is
not
well
explored
higher
education
institutions
(HEIs),
where
a
large
volume
of
data
generated.
Therefore,
this
study
aims
investigate
the
key
drivers
that
underlie
BI
HEIs,
leveraging
conceptual
lens
Technology-Organization-Environment
(TOE)
framework.
To
do
so,
prominent
factors
TOE
contexts
have
been
gleaned
from
related
literature.
The
used
PLS-SEM
modelling
analyze
quantitative
collected
387
individuals
management
roles
within
HEIs
Jordan.
results
showed
top
support,
information
culture,
compatibility,
organizational
readiness,
relative
advantages,
perceived
Complexity,
quality,
and
vendor
selection
are
significant
determinants
BA
HEIs—competitive
pressure,
which
was
statistically
insignificant.
further
revealed
culture
emerges
as
strongest
predictor,
while
Complexity
exerts
negative
effect
on
BI,
demonstrating
acts
hurdle
adoption.
outcomes
offer
valuable
guidance
for
concerning
antecedents
consider
successful
implementation.
Heliyon,
Год журнала:
2024,
Номер
10(8), С. e29317 - e29317
Опубликована: Апрель 1, 2024
This
mixed-method
study
explores
the
acceptance
of
ChatGPT
as
a
tool
for
Metacognitive
Self-Regulated
Learning
(MSRL)
among
academics.
Despite
growing
attention
towards
metacognitive
learning
tool,
there
is
need
comprehensive
understanding
factors
influencing
its
in
academic
settings.
Engaging
300
preservice
teachers
through
ChatGPT-based
scenario
activity
and
utilizing
convenience
sampling,
this
administered
questionnaire
based
on
proposed
Technology
Acceptance
Model
at
UTM
University's
School
Education.
Structural
equation
modelling
was
applied
to
analyze
participants'
perspectives
ChatGPT,
considering
like
MSRL's
impact
usage
intention.
Post-reflection
sessions,
semi-structured
interviews,
record
analysis
were
conducted
gather
results.
Findings
indicate
high
significantly
influenced
by
personal
competency,
social
influence,
perceived
AI
usefulness,
enjoyment,
trust,
intelligence,
positive
attitude,
self-regulated
learning.
Interviews
suggest
that
academics
view
positively
an
educational
seeing
it
solution
challenges
teaching
processes.
The
highlights
ChatGPT's
potential
enhance
MSRL
holds
implications
teacher
education
integration
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 15
Опубликована: Фев. 22, 2024
In
the
rapidly
evolving
landscape
of
technology,
emergence
Chat
Generative
Pre-trained
Transformer
(ChatGPT)
marks
a
pivotal
milestone
in
realm
Artificial
Intelligence
(AI).
However,
little
research
has
reported
predictors
people's
intentions
to
use
ChatGPT.
This
pioneering
study
empirically
examines
user
adoption
through
lens
Technology
Acceptance
Model
(TAM)
using
convenience
sampling
method.
The
surveyed
784
ChatGPT
users
China,
whom
58.93%
were
males.
results
have
revealed
several
key
findings:
(1)
perceived
usefulness,
ease
use,
behavioral
intention,
and
behavior
positively
correlated
with
each
other;
(2)
intention
acted
as
mediating
factor
relationship
between
usefulness
behavior,
well
behavior;
(3)
played
chain-mediated
role
(4)
exhibited
greater
strength
among
females
compared
males;
(5)
association
was
found
be
stronger
urban
comparison
their
rural
counterparts;
(6)
connections
observed
individuals
higher
educational
backgrounds
relative
those
lower
backgrounds.
These
findings
provide
crucial
nuanced
insights
advance
practical
application
ChatGPT,
emphasizing
need
for
enhanced
usability
use.
this
exclusively
captured
usage
behaviors
within
Chinese
base.
Future
investigations
could
encompass
diverse
demographics
across
multiple
countries,
enabling
cross-cultural
comparisons.
Sustainability,
Год журнала:
2024,
Номер
16(2), С. 934 - 934
Опубликована: Янв. 22, 2024
The
Metaverse
technology
(MVTECH)
is
an
immersive
virtual
sphere
where
people
interact
with
each
other
via
avatars.
MVTECH
promised
to
provide
a
number
of
potentials
for
various
sectors
including
higher
education.
Despite
the
fact
that
promotes
social
interaction
between
(e.g.,
university
students),
there
lack
knowledge
on
what
affects
users’
perceptions
regarding
its
sustainability
in
HEIs,
specifically
developing
nations.
Therefore,
this
research
paper
aims
determine
variables
affect
learners’
toward
(SS)
educational
institutions
(HEIs)
Jordan.
A
study
model
was
formulated
by
integrating
core
factors
“unified
theory
acceptance
and
use
technology”
(UTAUT)
(“performance
expectancy,
PE;
effort
EE;
influence,
SI;
facilitating
conditions,
FC”)
“perceived
curiosity”
(PC)
“extraversion”
(EXT)
factors.
Both
PC
EXT
were
included
as
context-related
may
possibly
contribute
enhancing
applicability
UTAUT
wide
range
information
technologies
settings.
Data
collected
from
422
students
enrolled
Jordanian
universities
based
online
survey.
analysis
“structural
equation
modeling”
(SEM)
found
students’
significantly
influenced
PE,
FC,
EXT.
Furthermore,
construct
affected
EE
construct.
However,
SI
revealed
have
no
significant
impact
SS.
Drawing
these
results,
makes
theoretical
advances
clarifies
practical
implications
those
involved
development,
design,
decision-making
processes
support
HEIs.
Asia Pacific Journal of Marketing and Logistics,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 15, 2024
Purpose
Technology
4.0
comes
with
a
challenge
to
understand
the
degree
of
users’
willingness
adopt
digital
transformation.
Metaverse,
being
transformation,
enables
real-world
activities
in
virtual
environment,
which
attracts
organizations
new
fascinating
technology.
This
paper
thus
explores
uses
and
gratification
factors
affecting
user
adoption
recommendation
metaverse
from
management
perspective.
Design/methodology/approach
The
study
adopts
mixed
approach
where
structural
topic
modeling
is
used
analyze
tweets
about
metaverse,
themes
uncovered
were
further
analyzed
through
data
collection
using
equation
modeling.
Findings
analyses
revealed
that
social
interaction,
escapism,
convenient
navigability,
telepresence
significantly
affect
intent
use
while
trendiness
showed
insignificance.
In
users
can
embody
avatars
or
representations,
express
themselves,
communicate
nonverbally,
interact
others
more
natural
intuitive
manner.
Originality/value
contributes
research
as
it
first
its
kind
explore
Uses
Gratification
theory
approach.
Moreover,
authors
performed
two-step
involving
both
qualitative
quantitative
techniques,
giving
perspective
metaverse-related
study.
Heliyon,
Год журнала:
2024,
Номер
10(9), С. e29544 - e29544
Опубликована: Апрель 21, 2024
Despite
the
potential
of
meta-education
to
transform
higher
education,
there
remains
a
scarcity
research
investigating
students'
adoption
intentions.
This
study
aimed
identify
factors
influencing
intentions
adopt
using
an
extended
Decomposed
Theory
Planned
Behavior
model
(DTPB).
Data
was
collected
via
online
survey
596
education
students
from
Jordan
who
were
purposefully
selected.
Structural
equation
modeling
partial
least
squares
analysis
revealed
attitude,
social
influence,
and
perceived
behavioral
control
as
key
antecedents
intention.
Furthermore,
newly
added
variables
including
enjoyment,
herd
behavior,
student
autonomy,
innovativeness
showed
efficiency
in
explaining
variance
control.
Overall,
provided
meaningful
insights
on
driving
willingness
meta-education.
The
contributes
theory
by
extending
decomposed
TPB
context
emerging
educational
technologies.
It
also
provides
practical
implications
for
policymakers
educators
aiming
encourage
adoption.
