Acceptance of generative AI in higher education: A latent profile analysis of policy guidelines
Abstract
Generative
AI
tools
such
as
ChatGPT
and
Bard
are
quickly
changing
higher
education,
bringing
both
opportunities
challenges.
This
study
examines
how
top-ranked
universities
differ
in
their
acceptance
of
generative
AI,
applying
a
latent
profile
analysis
to
classify
based
on
levels
four
institutional
characteristics:
the
ratio
international
students,
citation
per
faculty,
academic
reputation,
faculty-student
ratio.
The
results
revealed
distinct
profiles.
Profile
1
includes
with
strong
opposition
unauthorized
use,
underscoring
integrity,
boasting
high
student
ratios
research
output.
2
consists
supportive
responsible
despite
lower
presence
output,
highlighting
role
environment.
3
represents
neutral
stance
focusing
ethical
usage
while
having
but
struggling
4
also
adopts
stance,
reputations
output
moderate
ratios.
These
findings
line
previous
at
faculty
levels,
importance
environments
clear
policies.
provides
valuable
insights
for
educators,
policymakers,
institutions
navigating
integration
technologies.
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Июнь 4, 2024
Язык: Английский