The
current
research
provides
a
thorough
examination
of
the
impact
Artificial
Intelligence
(AI)
in
realm
higher
education.
This
study
undertakes
comprehensive
relevant
scholarly
material
published
between
2019
and
2023.
It
investigates
AI
technologies
on
improvement
customized
learning,
academic
writing,
abilities
among
students
at
university
level.
primary
focal
points
include
influence
artificial
intelligence
educational
achievements,
readiness
educators
to
incorporate
into
their
pedagogical
approaches,
ethical
ramifications
associated
with
use
environments.
results
demonstrate
that
integration
technology
settings
has
substantial
positive
student
engagement
achievement.
However,
it
is
important
acknowledge
address
certain
issues
arise
this
context,
including
need
ensure
possess
necessary
skills
knowledge
effectively
AI,
as
well
considerations
its
implementation.
not
only
emphasizes
potential
revolutionizing
education
but
also
well-rounded
implementation
strategy
takes
account
both
capabilities
limits
AI.
establishes
basis
for
future
investigations,
specifically
focusing
formulation
approaches
are
efficient
morally
sound
inside
Abstract
Background
The
study
explores
language
acquisition
in
Chinese
English
as
a
Foreign
Language
(EFL)
education,
where
proficiency
is
crucial
for
global
opportunities.
As
China
gains
prominence,
the
demand
skills
rises
beyond
communication
to
include
academic
and
business
success.
education
system
emphasizes
proficient
writing
further
professional
achievement.
This
research
investigates
complex
linguistic
context
EFL
learners
China,
analyzing
intersection
of
psychological
factors,
cultural
nuances,
varied
pedagogy,
individual
experiences.
Methods
Structural
Equation
Modeling
(SEM)
utilized
analysis,
enabling
creation
metric
set
explore
intangibles
such
perfectionism,
learning
self-efficacy,
motivation,
habits,
influences,
introspection.
utilizes
diverse
sample
from
multiple
universities
across
different
regions
incorporating
demographic
factors
encompass
characteristics
within
learner
community.
Results
reveal
that
perfectionism
(β
=
0.30,
p
<
0.001),
self-efficacy
0.25,
0.005),
motivation
0.35,
habits
0.20,
0.01),
self-reflection
0.28,
0.001)
significantly
predict
proficiency.
Cultural
effects
(Beta
0.15,
0.05)
show
statistically
significant,
albeit
minimal,
impact.
Mediation-moderation
analysis
underscores
mediator
emphasizing
its
influence
on
other
predictors.
act
moderators
shaping
link
between
predictors
skills.
combined
mediation
moderation
are
positively
significant
0.02).
Conclusions
makes
theoretical
contribution,
enhancing
existing
models
providing
practical
insights
educators
policymakers.
Emphasizing
intricate
relationship
dynamics
necessity
sophisticated,
culturally
sensitive
approach
instruction.
Beyond
skills,
recognizes
importance
fostering
conducive
environment
encourages
personal
development,
socio-cultural
awareness,
holistic
approach.
Education Sciences,
Год журнала:
2025,
Номер
15(2), С. 232 - 232
Опубликована: Фев. 13, 2025
The
use
of
different
generative
AIs
such
as
OpenAI’s
ChatGPT,
Microsoft
Copilot,
or
Google’s
Gemini
has
been
implemented
and
studied
in
aspects
language
education.
However,
exploring
how
the
combination
teacher-generated
feedback
AI-generated
influences
student
revision
practices
EFL
academic
writing
remains
largely
unexplored.
To
fill
gap,
this
preliminary
study
investigates
impact
two
forms
feedback,
including
well
orders
which
types
have
executed,
that
is,
before
(TGF-AIGF)
(AIGF-TGF),
on
students’
a
15-week
course
with
fourteen
Vietnamese
undergraduates.
Using
an
tool,
analyzed
revisions
four
essays,
focusing
local
(grammar
vocabulary)
global
(content
organization)
aspects.
Findings
revealed
consistently
resulted
higher
frequencies
compared
to
alone,
it
provided
specific,
actionable,
comprehensive
suggestions.
integration
teacher-
yielded
highest
frequencies,
demonstrating
complementary
strengths,
addressed
surface-level
issues,
while
focused
higher-order
concerns.
Although
no
statistically
significant
differences
were
found
between
AIGF-TGF
order
showed
slightly
greater
quantity
made
by
students,
allowing
scaffold
issues.
These
results
highlight
potential
combining
AI-
enhance
provide
pedagogical
insights
for
integrating
AI
tools
into
courses.
Journal of University Teaching and Learning Practice,
Год журнала:
2024,
Номер
21(1)
Опубликована: Март 12, 2024
Large
Language
Models
(LLMs)
and
Generative
AI
tools
are
revolutionising
every
aspect
of
academia,
including
medical,
physical,
STEM
education.
They
have
also
proved
their
mettle
in
blended
learning
systems
distance
programs
by
improving
educational
sustainability,
accessibility,
engagement.
Through
this
scoping
review,
we
aim
to
provide
an
essential
overview
the
state
art
ChatGPT
from
standpoint
exploring
its
development,
analysing
current
trajectory,
emerging
dynamics
active
research
responsible
for
defining
regulations
protocols.
The
PRISMA
benchmarking
was
used
on
Scopus
dataset,
with
109
papers
2022
2023.
Interactive
results
bibliographic
maps
generated
using
Bibliometrix
library
R-Studio.
findings
aligned
questions
represent
exceptional
growth
scientific
production.
Furthermore,
relevant
avenues
publications,
leading
countries,
institutions
area
listed.
thematic
trends
analysis
anticipated
that
artificial
intelligence
generative
will
substantially
influence
nearly
dimension
coming
years.
review
identified
possible
advantages
disadvantages
adopting
higher
education
analysed
deployment,
considering
ethical
issues.
concludes
that,
apart
ChatGPT,
other
large
language
models
transforming
However,
concerns
implications
highlight
vital
issues
further
ensure
AI's
use.
The
current
research
provides
a
thorough
examination
of
the
impact
Artificial
Intelligence
(AI)
in
realm
higher
education.
This
study
undertakes
comprehensive
relevant
scholarly
material
published
between
2019
and
2023.
It
investigates
AI
technologies
on
improvement
customized
learning,
academic
writing,
abilities
among
students
at
university
level.
primary
focal
points
include
influence
artificial
intelligence
educational
achievements,
readiness
educators
to
incorporate
into
their
pedagogical
approaches,
ethical
ramifications
associated
with
use
environments.
results
demonstrate
that
integration
technology
settings
has
substantial
positive
student
engagement
achievement.
However,
it
is
important
acknowledge
address
certain
issues
arise
this
context,
including
need
ensure
possess
necessary
skills
knowledge
effectively
AI,
as
well
considerations
its
implementation.
not
only
emphasizes
potential
revolutionizing
education
but
also
well-rounded
implementation
strategy
takes
account
both
capabilities
limits
AI.
establishes
basis
for
future
investigations,
specifically
focusing
formulation
approaches
are
efficient
morally
sound
inside
