University Students’ Usage of Generative Artificial Intelligence for Sustainability: A Cross-Sectional Survey from China
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(8), P. 3541 - 3541
Published: April 15, 2025
The
rapid
development
of
generative
artificial
intelligence
(GenAI)
technology
has
triggered
extensive
discussions
about
its
potential
applications
in
sustainable
higher
education.
Based
on
the
acceptance
model
(TAM)
and
task–technology
fit
(TTF)
theory,
this
research
aimed
to
investigate
current
situations
challenges
Chinese
university
students
using
GenAI
four
typical
task
scenarios.
This
was
performed
a
cross-sectional
design.
data
were
collected
via
questionnaire,
with
486
undergraduates
from
participating.
analysis
methods
include
descriptive
statistics,
inferential
content
analysis.
results
show
that
more
than
70%
actively
use
GenAI,
but
nearly
half
them
are
not
very
proficient
use.
Doubao
ERNIE
Bot
tools
they
prefer
most.
primary
functions
text
production
information
retrieval.
They
mainly
learn
relevant
knowledge
skills
through
self-media
knowledge-sharing
platforms.
Among
scenarios,
is
widely
used
course
learning
activities,
while
application
daily
life
job
search
relatively
limited.
demographic
variables
shows
grade
major
have
significant
impact
students’
GenAI.
In
addition,
suggest
universities
should
offer
courses
or
lectures
provide
comprehensive
technical
support
improve
popularity
operability
study
provides
suggestions
for
universities,
education
administration
departments,
departments
services.
It
will
help
optimize
allocation
educational
resources
promote
equity
sustainability.
Language: Английский
Generative Artificial Intelligence for Sustainable Learning Development
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 23 - 42
Published: March 7, 2025
Research
indicates
that
generative
artificial
intelligence
(Gen
AI)
and
its
integration
into
higher
education
(HE)
classes
can
support
the
developments
in
sustainability,
lead
to
improvements
educational
practices,
promoting
for
social
justice,
fostering
inclusion
accessibility
all
students,
irrespective
of
their
background,
environmental,
i.e.,
climate
awareness
sustainability.
These
are
only
some
ways
Gen
AI
enhance
creation
more
effective,
inclusive,
sustainable
contexts
HE.
The
current
study
aimed
explore
students'
perspectives
on
tools
inform
changes
should
be
implemented
HE
effective
use
by
students.
One
hundred
sixty-three
students
from
universities
Greece,
Albania,
UK
participated
this
study.
It
is
suggested
policies
regulations
modified
reformulated
development,
while
empirical
research
incorporation
a
necessity
(there
limited
focus
practice-oriented/empirical
research).
Language: Английский
The analysis of generative artificial intelligence technology for innovative thinking and strategies in animation teaching
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: May 28, 2025
This
work
examines
the
application
of
Generative
Artificial
Intelligence
(GAI)
technology
in
animation
teaching,
focusing
on
its
role
enhancing
teaching
quality
and
learning
efficiency
through
innovative
instructional
strategies.
Compared
to
traditional
methods,
GAI
introduces
a
novel
pedagogical
paradigm
characterized
by
adaptive
personalized
pathways,
intelligent
resource
optimization,
immersive
interactive
models.
A
mixed-methods
research
approach
is
adopted,
integrating
quantitative
analysis
(experimental
data
questionnaire
surveys)
qualitative
(behavioral
observations)
systematically
assess
educational
effectiveness
technology.
The
experiment,
conducted
over
12
weeks,
involved
120
students
divided
into
an
experimental
group
control
group.
Data
sources
included
pre-
post-test
evaluations,
feedback
surveys,
classroom
behavior
analysis.
results
indicate
that,
compared
conventional
significantly
enhances
outcomes,
knowledge
abilities,
motivation,
student
satisfaction.
pathway
dynamically
adjusts
content
based
students'
progress,
improving
their
mastery
foundational
skill
transferability.
Intelligent
resources
automatically
generate
high-quality
examples
provide
dynamic
mechanisms,
fostering
creative
expression
practical
efficiency.
model
effectively
increases
engagement,
teamwork
skills,
problem-solving
abilities.
These
findings
demonstrate
that
has
potential
transform
optimizing
experience
advancing
methodologies.
Beyond
offering
solutions,
plays
crucial
cultivating
creativity,
critical
thinking,
autonomous
provides
theoretical
support
guidance
for
digital
transformation
while
underscoring
broader
applicability
education
sector,
new
directions
future
development
education.
Language: Английский
Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial Intelligence
Information,
Journal Year:
2025,
Volume and Issue:
16(6), P. 473 - 473
Published: June 3, 2025
This
study
explores
the
integration
of
large
language
models
(LLMs)
into
educational
environments,
emphasizing
enhanced
accessibility,
inclusivity,
and
individualized
learning
experiences.
The
evaluates
trends
in
transformative
potential
artificial
intelligence
(AI)
technologies
their
capacity
to
significantly
mitigate
traditional
barriers
related
diversity,
disabilities,
cultural
differences,
socioeconomic
inequalities.
result
analysis
highlights
how
LLMs
personalize
instructional
content
dynamically
respond
each
learner’s
emotional
needs.
work
also
advocates
for
an
instructor-guided
deployment
as
pedagogical
catalysts
rather
than
replacements,
educators’
role
ethical
oversight,
sensitivity,
support
within
AI-enhanced
classrooms.
Finally,
while
recognizing
concerns
regarding
data
privacy,
biases,
implications,
argues
that
proactive
responsible
by
educators
is
necessary
democratizing
access
education
foster
inclusive
practices,
thereby
advancing
effectiveness
equity
contemporary
frameworks.
Language: Английский