Trends and emerging themes in the effects of generative artificial intelligence in education: A systematic review
Eurasia Journal of Mathematics Science and Technology Education,
Год журнала:
2025,
Номер
21(4), С. em2613 - em2613
Опубликована: Март 11, 2025
This
paper
systematically
reviews
the
impact
of
Generative
Artificial
Intelligence
(GenAI)
in
education
from
2021
to
2024.
The
objective
is
explore
key
trends,
geographical
distribution
research,
and
emerging
themes
educational
use
GenAI,
while
addressing
ethical
challenges
such
as
algorithmic
bias,
data
privacy,
digital
divide.
Using
a
systematic
review
methodology
guided
by
four
research
questions,
study
analyzes
publications
Scopus
identify
dominant
leading
countries
field.
Results
indicate
that
United
States,
Kingdom,
Singapore
are
top
contributors
GenAI
with
primary
focus
on
personalized
learning
automated
assessments.
highlights
surge
publications,
particularly
2023,
driven
advancements
AI
tools
like
ChatGPT.
It
emphasizes
importance
international
collaboration
proposes
need
for
regulatory
frameworks
ensure
integration
education.
offers
valuable
insights
into
current
state
provides
recommendations
educators,
policymakers,
researchers
navigate
opportunities
AI-driven
learning.
Язык: Английский
University Students’ Usage of Generative Artificial Intelligence for Sustainability: A Cross-Sectional Survey from China
Sustainability,
Год журнала:
2025,
Номер
17(8), С. 3541 - 3541
Опубликована: Апрель 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.
Язык: Английский
AI and ChatGPT in Higher Education: Greek Students’ Perceived Practices, Benefits, and Challenges
Education Sciences,
Год журнала:
2025,
Номер
15(5), С. 605 - 605
Опубликована: Май 14, 2025
As
artificial
intelligence
(AI)
continues
to
evolve,
its
integration
into
higher
education
(HE)
has
sparked
both
enthusiasm
and
concern.
This
study
examines
HE
students’
perceptions
of
ChatGPT
AI
tools.
An
online
survey
with
closed
questions
was
administered,
a
convenient
sample
515
students
gathered
analyzed.
Findings
reveal
dual
perspective,
where
recognize
AI’s
potential
enhance
research
efficiency,
support
academic
tasks,
personalize
learning
experiences,
while
simultaneously
raising
concerns
regarding
ethical
considerations,
content
reliability,
declines
in
critical
thinking
skills.
A
key
insight
from
this
is
the
variation
based
on
level
ICT
competence.
The
findings
reinforce
importance
comprehensive
literacy
programs,
guidelines,
institutional
support.
Additionally,
highlights
bridging
digital
divide,
ensuring
equitable
engagement
tools
across
different
competency
levels.
contributes
ongoing
discourse
by
identifying
areas
adoption
can
be
optimized
mitigating
risks.
Future
policy
initiatives
should
focus
striking
balance
between
technological
advancements
human-centered
learning,
that
supports
integrity
educational
innovation.
Язык: Английский
Generative AI and Media Content Creation: Investigating the Factors Shaping User Acceptance in the Arab Gulf States
Journalism and Media,
Год журнала:
2024,
Номер
5(4), С. 1624 - 1645
Опубликована: Ноя. 6, 2024
This
article
aims
to
investigate
the
factors
that
affect
behavioural
intention
(BI)
and
user
behaviour
(UB)
among
Arabian
users
of
generative
artificial
intelligence
(GenAI)
applications
in
context
media
content
creation.
The
study’s
theoretical
framework
is
grounded
unified
theory
acceptance
use
technology
(UTAUT2).
A
sample
496
was
analysed
using
partial
least
squares
structural
equation
modelling
technique
(PLS-SEM).
results
revealed
BI
significantly
influenced
by
performance
expectancy,
effort
social
influence,
hedonic
motivation,
habit,
trust,
with
motivation
having
greatest
impact.
In
terms
UB,
facilitation
conditions,
were
all
found
have
a
positive
significant
study
contributes
existing
on
utilisation
GenAI
organising
findings
pertaining
AI
for
Язык: Английский