Understanding GAI risk awareness among higher vocational education students: An AI literacy perspective
Helen Wu,
No information about this author
Dantong Li,
No information about this author
Xiaolan Mo
No information about this author
et al.
Education and Information Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 27, 2025
Language: Английский
The Effect of Generative AI Ethics on Users’ Continuous Usage Intentions: A PLS-SEM and fsQCA Approach
International Journal of Human-Computer Interaction,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 12
Published: Feb. 24, 2025
Language: Английский
Exploring the Predictors of AI Chatbot Usage Intensity Among Students: Within- and Between-Person Relationships Using the Technology Acceptance Model
Computers in Human Behavior Artificial Humans,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100113 - 100113
Published: Dec. 1, 2024
Language: Английский
Social Influence, Personal Views, and Behavioral Intention in ChatGPT Adoption
Sandrotua Bali,
No information about this author
Edi Suwandi,
No information about this author
Tsai-Ching Chen
No information about this author
et al.
Journal of Computer Information Systems,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 12
Published: Dec. 20, 2024
This
research
explores
the
relationship
between
social
influence,
students'
views,
behavioral
intention,
and
use
of
ChatGPT.
It
involved
a
cross-sectional
survey
from
cohort
international
students
in
Taiwan.
SmartPLS
SPSS
were
employed
to
analyze
data
test
hypothesized
model.
The
results
indicated
that
views
intentions
significantly
predicted
ChatGPT,
while
influence
did
not.
Specific
indirect
effects
revealed
intention
mediates
ChatGPT
use.
Furthermore,
also
findings
provide
theoretical
basis
for
understanding
adoption
by
students,
who
often
experience
stress
with
their
academic
tasks.
Additionally,
these
insights
are
significant
educators,
emphasizing
importance
ongoing
monitoring
Language: Английский
Unlocking the Beat: How AI Tools Drive Music Students' Motivation, Engagement, Creativity and Learning Success
European Journal of Education,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 5, 2024
ABSTRACT
This
study
explores
the
relationships
among
music
students'
artificial
intelligence
(AI)
perceptions,
motivation,
engagement,
creativity
and
learning
success.
Through
a
random
sampling
method,
521
Chinese
students
participated
in
research,
which
employed
range
of
questionnaires
to
assess
AI
outcomes
creativity.
The
utilised
SPSS
(version
27)
AMOS
24)
for
comprehensive
statistical
analysis.
Findings
reveal
significant
relationship
between
perceptions
education
their
engagement
Positive
were
found
enhance
motivation
by
increasing
interest
innovative
tools
fostering
through
interactive
AI‐based
environments.
Moreover,
these
predictive
higher
suggests
that
can
play
crucial
role
enhancing
educational
making
more
interactive,
personalised
engaging,
thus
improving
overall
student
performance
education.
Language: Английский