Unlocking the metaverse: Determinants of voluntary adoption in e-commerce
Sustainable Futures,
Год журнала:
2025,
Номер
9, С. 100436 - 100436
Опубликована: Янв. 16, 2025
Язык: Английский
When Technology Meets Anxiety:The Moderating Role of AI Usage in the Relationship Between Social Anxiety, Learning Adaptability, and Behavioral Problems Among Chinese Primary School Students
Psychology Research and Behavior Management,
Год журнала:
2025,
Номер
Volume 18, С. 151 - 167
Опубликована: Янв. 1, 2025
This
study
aims
to
examine
the
relationships
between
social
anxiety,
learning
adaptability,
AI
technology
usage,
and
behavioral
problems
among
primary
school
students,
with
a
focus
on
mediating
role
of
adaptability
moderating
usage.
A
cross-sectional
survey
was
conducted
1240
students
aged
8-15
in
Luzhou,
Sichuan
Province.
Social
anxiety
measured
using
Anxiety
Scale
for
Children
(SASC),
assessed
Children's
Learning
Adaptability
Questionnaire
(CSAQ),
were
evaluated
Child
Behavior
Checklist
(CBCL),
tool
usage
gauged
through
self-developed
questionnaire.
Data
analysis
involved
correlation
multiple
regression
analyses
SPSS,
moderated
mediation
effect
analyzed
Process
Model
59.
found
significantly
positively
predict
problems,
indicating
that
higher
levels
associated
more
problems.
partially
mediated
this
relationship,
suggesting
not
only
directly
impacts
but
also
indirectly
heightens
risk
by
reducing
adaptability.
Additionally,
relationship
stronger
observed
at
Specifically,
positive
influence
became
pronounced
as
increased,
frequent
use
can
amplify
impact
outcomes.
increases
diminishing
plays
its
effects
becoming
highlights
need
educators
improving
students'
judiciously
incorporate
technology,
consider
individual
differences,
particularly
mental
health,
foster
comprehensive
healthy
student
development.
Язык: Английский
A Hybrid SEM-ANN Approach for Predicting the Impact of Psychological Needs on Satisfaction with Generative AI Use
Technology Knowledge and Learning,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 24, 2025
Язык: Английский
Implementing AI to Improve Educational Equity and Outcomes in a Rural School District
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 457 - 480
Опубликована: Фев. 13, 2025
This
chapter,
as
outlined
by
the
authors,
investigates
use
of
artificial
intelligence
(AI)
in
rural
school
districts
to
enhance
operational
efficiency
and
educational
outcomes.
Through
a
survey-based
approach,
chapter
evaluates
AI
adoption
its
effects
various
contexts,
focusing
on
schools'
specific
challenges,
such
limited
resources
technological
infrastructure.
Findings
reveal
that
can
offer
personalized
learning,
boost
student
engagement,
streamline
administrative
tasks,
thereby
supporting
better
learning
environment
despite
resource
constraints.
The
study
highlights
ongoing
obstacles,
inadequate
infrastructure
need
for
specialized
teacher
training.
Proposed
solutions
include
targeted
investments,
comprehensive
training
programs,
policy
measures
promote
education.
By
providing
insights
into
AI's
benefits,
this
aims
guide
policymakers,
educators,
stakeholders
effectively
leveraging
improve
equity
outcomes
underserved
communities.
Язык: Английский
Learning and Teaching in the Era of Generative Artificial Intelligence Technologies: An In‐Depth Exploration Using Multi‐Analytical SEM‐ANN Approach
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Фев. 18, 2025
ABSTRACT
The
arrival
of
generative
artificial
intelligence
(GAI)
technologies
marks
a
significant
transformation
in
the
educational
landscape,
with
implications
for
teaching
and
learning
performance.
These
can
generate
content,
simulate
interactions,
adapt
to
learners'
needs,
offering
opportunities
interactive
experiences.
In
China's
education
sector,
incorporating
GAI
address
challenges,
enhance
practices,
improve
This
study
scrutinises
impact
on
performance
focusing
mediating
roles
e‐learning
competence
(EC),
desire
(DL),
beliefs
about
future
(BF),
as
well
moderating
role
facilitating
conditions
amongst
Chinese
educators.
Data
was
collected
from
411
teachers
across
various
institutions
China
using
purposive
sampling.
PLS‐SEM
ANN
were
employed
assess
suggested
structural
model.
results
indicate
that
significantly
influence
by
EC,
DL,
BF
roles.
Furthermore,
positively
moderate
association
BF.
underscores
critical
self‐determination
theory
shaping
effective
incorporation
education,
valuable
insights
outcomes
sector.
Язык: Английский
Exploring Chinese Consumers’ Attitudes Towards Pet Nutritional Products and Their Continuous Purchase Intentions: A Dual-Phase Analysis Using SEM and ANN
Behavioral Sciences,
Год журнала:
2025,
Номер
15(3), С. 255 - 255
Опубликована: Фев. 23, 2025
As
the
role
of
pets
evolves,
they
are
increasingly
regarded
as
members
family.
Although
incapable
making
independent
decisions,
become
unique
consumer
groups
through
purchases
specific
products
and
services
made
by
their
owners.
In
China,
pet
economy
has
developed
into
a
novel
economic
sector.
With
growing
concern
for
health,
demand
nutritional
continues
to
rise.
This
study
aims
explore
Chinese
consumers’
attitudes
intentions
towards
in
this
burgeoning
market.
A
survey
was
carried
out
on
600
consumers
who
had
purchased
2024.
two-stage
analysis
using
structural
equation
modeling
artificial
neural
network
examined
correlation
within
research
model
across
506
samples.
The
results
indicate
that
perceived
benefits,
severity,
susceptibility,
health
consciousness
positively
influence
products,
while
barriers,
risks,
risks
negatively
impact
attitudes.
significantly
enhance
continuous
purchase
intentions.
lays
an
essential
groundwork
advancing
food
refining
marketing
approaches,
conducting
future
research.
Язык: Английский
Evaluating the influence of generative AI on students’ academic performance through the lenses of TPB and TTF using a hybrid SEM-ANN approach
Education and Information Technologies,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 12, 2025
Язык: Английский
Leveraging SmartPLS and AI for Educational Model Optimization
Hendra Kusumah,
Muhammad Alghifari,
Euis Siti Nur Aisyah
и другие.
Опубликована: Авг. 7, 2024
Язык: Английский
A Comparative Study on AI-Based Learning Behaviors: Evidence from Vietnam
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Ноя. 28, 2024
AI-based
learning
systems
are
transforming
education
in
academic
and
corporate
settings,
with
global
spending
on
AI-enabled
training
expected
to
exceed
$200
billion
by
2025.
This
study
examines
how
these
enhance
outcomes
for
college
students
employees,
focusing
system
functionality,
self-efficacy,
familiarity,
social
influence.
Using
structural
equation
modeling
data
from
598
participants
(258
students,
340
employees),
findings
reveal
that
familiarity
positively
impacts
self-efficacy
across
both
groups,
while
influence
varies.
Students
benefit
media-rich
environments,
employees
gain
job-relevant
content
supervisor
System
functionality
enhances
participation
motivation,
but
self-efficacy's
direct
effect
is
significant
only
employees.
These
results
highlight
the
need
tailor
user
profiles.
Limitations
include
reliance
self-reported
specific
contexts.
Future
research
should
incorporate
objective
measures
of
explore
additional
factors
like
teaching
strategies.
Язык: Английский