Artificial
Intelligence
(AI)
has
become
a
widespread
tool
in
various
academic
fields,
offering
capabilities
that
range
from
machine
translation
to
automated
content
generation.
However,
the
application
of
AI
composing
papers
is
subjected
inaccuracies,
particularly
adhering
conventional
demands
writing.
Based
on
case
study
methodology,
this
article
examines
limitations
following
key
areas:
rhetorical
moves
for
an
paper,
providing
accurate
citations,
arranging
references
formats
other
than
APA
(unless
specifically
required
do
so),
disclosing
corpora,
databases,
and
source
texts
used
training,
incorporating
contemporary
knowledge,
understanding
cultural
contexts
beyond
Anglophone
sphere,
maintaining
formal
writing
style.
This
emphasises
necessity
human
engagement
ensure
quality,
accuracy,
sensitivity.
Trends in Higher Education,
Год журнала:
2025,
Номер
4(1), С. 2 - 2
Опубликована: Янв. 8, 2025
This
collective
systematic
literature
review
is
part
of
an
Erasmus+
project,
“TaLAI:
Teaching
and
Learning
with
AI
in
Higher
Education”.
The
investigates
the
current
state
Generative
Artificial
Intelligence
(GenAI)
higher
education,
aiming
to
inform
curriculum
design
further
developments
within
digital
education.
Employing
a
descriptive,
textual
narrative
synthesis
approach,
study
analysed
across
four
thematic
areas:
learning
objectives,
teaching
activities,
development,
institutional
support
for
ethical
responsible
GenAI
use.
93
peer-reviewed
articles
from
eight
databases
using
keyword-based
search
strategy,
collaborative
coding
process
involving
multiple
researchers,
vivo
transparent
documentation.
findings
provide
overview
recommendations
integrating
into
learning,
contributing
development
effective
AI-enhanced
environments
reveals
consensus
on
importance
incorporating
Common
themes
like
mentorship,
personalised
creativity,
emotional
intelligence,
higher-order
thinking
highlight
persistent
need
align
human-centred
educational
practices
capabilities
technologies.
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Янв. 22, 2025
ABSTRACT
Higher
education
has
witnessed
remarkable
technological
advancements;
however,
the
rapid
rise
of
generative
artificial
intelligence
(Gen
AI)
presents
substantial
challenges
for
teaching
and
research.
This
growing
reliance
expanded
educators'
roles,
underscoring
need
ethical
selective
AI
integration
while
preparing
students
researchers
an
AI‐driven
future.
Adopting
argumentative
perspective,
this
article
analyzes
core
insights
from
comparative
literature
key
reports
that
highlight
Gen
AI's
potential
to
diminish
critical
thinking
negatively
impact
educational
outcomes.
Although
holds
transformative
promise,
its
swift
expansion
raises
significant
concerns
about
long‐term
implications
education.
research
emphasises
address
drawbacks,
advocating
greater
awareness
equitable
practices
support
both
learning
in
academic
contexts.
Ultimately,
calls
professional
development
equip
educators
with
responsible
skills,
fostering
a
balanced
approach
higher
The
integration
of
Artificial
Intelligence
(AI)
in
dissertation
examination
presents
a
transformative
opportunity
for
higher
education
institutions
Zambia,
Rwanda,
and
Kenya.
As
student
enrollments
continue
to
rise,
universities
face
challenges
efficiently
evaluating
dissertations
while
maintaining
academic
integrity.
AI-driven
tools
offer
innovative
solutions
by
automating
tasks
such
as
plagiarism
detection,
language
quality
assessment,
contract
cheating
identification.
This
study
aims
explore
the
opportunities,
challenges,
impact
AI
adoption
assessment
across
selected
universities.
A
mixed-methods
research
design
was
employed,
incorporating
surveys,
semi-structured
interviews,
data
analysis
from
AI-assisted
evaluations
at
Copperbelt
University
(Zambia),
Jomo
Kenyatta
Agriculture
Technology
(Kenya).
Findings
indicate
that
enhances
efficiency
reducing
faculty
workload
improving
feedback
students.
However,
digital
literacy
gaps,
infrastructure
limitations,
concerns
over
AI’s
fairness
ethical
implications
hinder
full
adoption.
Despite
these
obstacles,
there
is
strong
support
among
students
integration,
provided
it
complemented
human
oversight.
concludes
has
significant
potential
revolutionize
evaluation
but
requires
investment
infrastructure,
training,
policy
frameworks
ensure
responsible
implementation.
Collaboration
universities,
policymakers,
technology
providers
essential
optimizing
upholding
rigour.
Íkala Revista de Lenguaje y Cultura,
Год журнала:
2025,
Номер
30(1)
Опубликована: Янв. 1, 2025
La
corrección
y
la
edición
son
esenciales
para
mejorar
calidad
de
los
textos.
Aunque
existe
abundante
bibliografía
sobre
herramientas
tecnológicas
identificar
errores
semánticos
léxico-gramaticales,
las
pruebas
eficacia
real
inteligencia
artificial
(ia)
en
este
proceso
siguen
siendo
limitadas,
estudios
varían
alcance
rigor.
Este
estudio
examina
si
existentes
apoyan
o
contradicen
hipótesis
que
aplicaciones
basadas
ia
ayudan
a
editar
corregir
textos
enseñanza
superior.
Se
realizó
una
revisión
bases
datos
Scopus
Web
of
Science,
abarcó
artículos
científicos
inglés
español,
publicados
entre
2019
2024,
relacionados
con
escritura
universitaria
el
uso
mayoría
fueron
exploratorios
descriptivos.
observó
un
notable
aumento
publicaciones
relacionadas
académica
2022
Estados
Unidos,
China,
Australia
Canadá
cabeza
ámbito.
Los
hallazgos
sugieren
mejora
lingüística
retroalimentación
escritura.
También
se
destacan
problemas
integridad
académica,
privacidad
incapacidad
resolver
complejos.
Son
necesarias
conexiones
más
explícitas
complementar
estrategias
pedagógicas
tradicionales.
necesidad
investigación
ámbito
es
urgente,
ya
cuestiones
acceso
equitativo
integración
responsable
apoyar
al
desarrollo
académica.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 43 - 72
Опубликована: Март 14, 2025
The
chapter
highlights
the
impact
of
AI
for
teaching
translation
skills
focusing
on
usage
tools
by
investigates
English
language
learning.
It
how
these
technologies
bridge
gaps
in
acquisition
and
enhance
various
examining
studies
contexts
learning
translation.
covers
aspects
unveiling
ways
facilitate
vocabulary
expansion,
grammar
understanding,
pronunciation
improvement
while
providing
real-time
contextual
support.
also
addresses
challenges
using
tools,
such
as
over-reliance,
inaccuracies,
need
critical
engagement,
offering
strategies
educators
learners
to
integrate
effectively
taking
into
consideration
ethical
issues.
a
wide
range
context
present
comprehensive
picture
readers'
insight
artificial
intelligence
contexts.
concludes
that
has
transformed
field
completely
most
influence
is
positive
but
issues
fake
translations
are
be
addressed
more
efficiently.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 15 - 42
Опубликована: Март 14, 2025
This
chapter
investigates
teachers'
attitude
towards
collaborative
AI
in
academic
writing
instruction.
Fifteen
teachers
were
selected
from
three
public
sector
universities
the
Khyber
Pakhtunkhwa
province
of
Pakistan.
Semi-structured
interviews
explored
for
teacher-AI
collaboration,
apprehensions,
ethical
considerations
using
GenAI
tools
and
measures
to
address
these
concerns.
Thematic
analysis
revealed
five
key
themes:
i)
acceptance
willingness
use
AI,
ii)
perceived
value
relevance
writing,
iii)
iv)
challenges
regarding
v)
suggestions
enhance
collaboration.
Findings
a
positive
instruction
readily
accessible,
precise,
structured
information.
However,
are
concerned
about
unethical
GenAI.
They
advocated
responsible
verifying
data
accuracy
through
alternative
original
sources.
Teacher
training
professional
development
recommended
tailored
instructional
practices.
Language Teaching Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 25, 2025
The
integration
of
artificial
intelligence
(AI)
writing
tools
in
second
language
(L2)
academic
presents
both
opportunities
and
challenges
for
medical
education.
This
study
employed
a
SWOT
(strengths–weaknesses–opportunities–threats)
analysis
to
examine
students’
perspectives
on
using
AI
their
practice.
Forty-two
students
from
major
Iranian
university
participated
the
study,
providing
weekly
reflections
final
over
15-week
course.
Thematic
revealed
that
offer
significant
strengths
linguistic
skill
development,
particularly
vocabulary
enhancement,
sentence
improvement,
grammar
proofreading.
However,
weaknesses
such
as
over-reliance
AI,
lack
contextual
understanding,
occasional
inaccuracies
suggestions
were
identified.
Opportunities
included
creative
enhancement
immediate
refinement,
while
threats
encompassed
human–computer
interaction,
including
potential
misinformation
dishonesty.
highlights
need
balanced
approach
integrating
into
L2
instruction,
emphasizing
role
supplementary
aids
rather
than
primary
resources.
Implications
pedagogy
include
developing
curricula
teach
critical
evaluation
AI-generated
content
implementing
tasks
require
higher-order
thinking
skills.
contributes
growing
body
literature
education
provides
valuable
insights
educators
policymakers
navigating
evolving
landscape
AI-assisted
Journal of Machine and Computing,
Год журнала:
2025,
Номер
unknown, С. 1124 - 1139
Опубликована: Апрель 5, 2025
Artificial
Intelligence
(AI)
in
literary
studies
has
disrupted
traditional
schools
of
thought
regarding
textual
analysis,
interpretation,
and
criticism.
This
research
establishes
a
framework
that
is
AI-powered:
the
Literary
Interpretative
Neural
Algorithm
(LINA),
which
shows
promise
for
analysis
complex
linguistic
patterns,
thematic
structures,
stylistic
elements
teaching
learning
language.
With
its
hybrid
approach
integrating
Natural
Language
Processing
(NLP),
transformer-based
deep
models,
sentiment
LINA
assesses
texts
ranging
across
historical
contemporary
genres.
Contrasting
conventional
methods
often
judged
through
lens
subjective
enables
data-driven,
unbiased
analyses
themes,
character
development,
intertextual
relationships.
The
further
examines
capability
AI
to
reveal
those
aspects
have
remained
obscure:
establish
hidden
authorial
intent,
evolution
genre
over
aeons.
effectiveness
model
validated
contrast
heterogeneous
corpus
works,
including
insights
derived
from
proposed
against
critical
methods.
study
concludes
by
emphasizing
AI-enhanced
could
serve
advance
academic
discourse,
automate
tasks
classification,
provide
additional
layers
text
interpretation.
Contributions
will
lie
at
interaction
between
humanities
translation
publications,
stressing
need
interdisciplinary
approaches
digital
age.
Future
work
characterize
refined
deeper
semantic
understanding
ethical
issues
automated
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 261 - 290
Опубликована: Апрель 30, 2025
This
research
made
use
of
an
AI
detector
known
as
GPTZero
to
determine
the
proportion
each
assignment
that
was
written
by
humans
and
AI.
Based
on
findings,
it
can
be
observed
receives
higher
marks
when
percentage
writing
score
is
larger.
One
limitations
ChatGPT
for
proofreading
will
also
identified
There
a
possibility
fairness
problem
in
field
applying
education.
The
establishment
control
mechanisms
necessary
prior
complete
implementation
educational
settings
prevent
from
destroying
human
talents.
aims
examine
frequency
student
utilization
tasks
investigate
students'
attitudes
towards
tools
Mandarin
writing.
questions
are:
I)
How
identify
ethnicity
individual
utilising
ii)
What
measures
should
responsible
event
damage
resulting
following
recommendations
responses?
