Higher education students’ perceptions of ChatGPT: A global study of early reactions
PLoS ONE,
Год журнала:
2025,
Номер
20(2), С. e0315011 - e0315011
Опубликована: Фев. 5, 2025
The
paper
presents
the
most
comprehensive
and
large-scale
global
study
to
date
on
how
higher
education
students
perceived
use
of
ChatGPT
in
early
2024.
With
a
sample
23,218
from
109
countries
territories,
reveals
that
primarily
used
for
brainstorming,
summarizing
texts,
finding
research
articles,
with
few
using
it
professional
creative
writing.
They
found
useful
simplifying
complex
information
content,
but
less
reliable
providing
supporting
classroom
learning,
though
some
considered
its
clearer
than
peers
teachers.
Moreover,
agreed
need
AI
regulations
at
all
levels
due
concerns
about
promoting
cheating,
plagiarism,
social
isolation.
However,
they
believed
could
potentially
enhance
their
access
knowledge
improve
learning
experience,
efficiency,
chances
achieving
good
grades.
While
was
as
effective
improving
literacy,
digital
communication,
content
creation
skills,
interpersonal
decision-making,
numeracy,
native
language
proficiency,
development
critical
thinking
skills.
Students
also
felt
would
boost
demand
AI-related
skills
facilitate
remote
work
without
significantly
impacting
unemployment.
Emotionally,
mostly
positive
ChatGPT,
curiosity
calmness
being
common
emotions.
Further
examinations
reveal
variations
students'
perceptions
across
different
socio-demographic
geographic
factors,
key
factors
influencing
identified.
Higher
institutions'
managers
teachers
may
benefit
these
findings
while
formulating
curricula
instructions/regulations
use,
well
when
designing
teaching
methods
assessment
tools.
policymakers
consider
strategies
secondary
system
development,
especially
light
changing
labor
market
needs
related
development.
Язык: Английский
Software Engineering by and for Humans in an AI Era
ACM Transactions on Software Engineering and Methodology,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 3, 2025
The
landscape
of
software
engineering
is
undergoing
a
transformative
shift
driven
by
advancements
in
machine
learning,
artificial
intelligence
(AI),
and
autonomous
systems.
This
roadmap
paper
explores
how
these
technologies
are
reshaping
the
field,
positioning
humans
not
only
as
end
users
but
also
critical
components
within
expansive
ecosystems.
We
examine
challenges
opportunities
arising
from
this
human-centered
paradigm,
including
ethical
considerations,
fairness,
intricate
interplay
between
technical
human
factors.
By
recognizing
at
heart
lifecycle
—spanning
professional
engineers,
users,
end-user
developers
—we
emphasize
importance
inclusivity,
human-aligned
workflows,
seamless
integration
AI-augmented
socio-technical
As
systems
evolve
to
become
more
intelligent
human-centric,
practices
must
adapt
new
reality.
provides
comprehensive
examination
transformation,
outlining
current
trends,
key
challenges,
that
define
emerging
research
practice
landscape,
envisioning
future
where
AI
work
synergistically
place
core
ecosystem.
Язык: Английский
ChatGPT Acceptance and Use Among Software Developers in the Philippines: A Structural Equation Modeling Approach Based on Extended UTAUT
Lecture notes in computer science,
Год журнала:
2025,
Номер
unknown, С. 177 - 188
Опубликована: Янв. 1, 2025
Язык: Английский
The Impact of Digital Literacy on Kazakhstan’s Employment Structure in the Context of Technological Change
The economy strategy and practice,
Год журнала:
2025,
Номер
20(1), С. 6 - 18
Опубликована: Апрель 10, 2025
Today,
digital
transformation
has
a
significant
impact
on
the
labor
market,
changing
employment
structure
and
forming
new
requirements
for
qualifications
of
employees.
The
purpose
study
is
to
analyze
literacy
status
population
Republic
Kazakhstan
in
context
rapid
technological
changes
consequences
COVID-19
pandemic.
Research
methods
include
correlation
analysis
identify
relationship
between
level
structure,
as
well
comparative
method
assess
dynamics
market.
empirical
base
based
statistical
data
2010-2022
collected
from
official
collections
reports
International
Labor
Organization
(ILO).
results
show
that
an
increase
leads
decrease
proportion
employees
self-employed,
which
associated
with
automation,
development
platforms
forms
employment.
Correlation
revealed
negative
(r
=
-0.75),
strong
positive
number
pensioners
0.75)
dependents
0.94).
obtained
confirm
trend
towards
transition
remote
work
use
technologies
everyday
life.
Future
research
may
focus
developing
strategies
among
balanced
market
reduce
divide,
especially
rural
areas.
Язык: Английский
Foresight Methodologies in Responsible GenAI Education: Insights from the Intermedia-Lab at Complutense University Madrid
Education Sciences,
Год журнала:
2024,
Номер
14(8), С. 834 - 834
Опубликована: Июль 31, 2024
This
study,
conducted
at
Complutense
Intermedia-Lab,
employs
a
dual
approach
to
explore
university
students’
use
of
Generative
AI
(GenAI),
combining
survey
with
foresight
methodologies
(Sci-fi
prototyping).
The
initial
gathers
baseline
data
on
experiences,
attitudes,
and
concerns
regarding
GenAI,
providing
comprehensive
understanding
current
practices
among
students
in
Spain.
empirical
foundation
informs
subsequent
Sci-fi
prototyping
sessions,
where
creatively
envision
future
scenarios,
fostering
futurist
thinking
deeper
engagement.
By
integrating
principles
Responsible
Research
Innovation
(RRI),
this
facilitates
nuanced
exploration
GenAI’s
potential
impacts
education.
incorporation
both
quantitative
collection
qualitative
methods
study
serves
navigate
challenges
level
opportunities
promoting
the
ethical
inclusive
GenAI
Higher
Education,
ensuring
that
innovations
align
societal
values
needs.
Язык: Английский