Impacts of Generative Artificial Intelligence in Higher Education: Research Trends and Students’ Perceptions
Social Sciences,
Год журнала:
2024,
Номер
13(8), С. 410 - 410
Опубликована: Авг. 7, 2024
In
this
paper,
the
effects
of
rapid
advancement
generative
artificial
intelligence
(Gen
AI)
in
higher
education
(HE)
are
discussed.
A
mixed
exploratory
research
approach
was
employed
to
understand
these
impacts,
combining
analysis
current
trends
and
students’
perceptions
Gen
AI
tools
academia.
Through
bibliometric
systematic
literature
review,
64
publications
(indexed
SCOPUS
Web
Science
databases)
were
examined,
highlighting
AI’s
disruptive
effect
on
pedagogical
aspects
HE.
The
impacts
identified
by
compared
with
held
computer
science
students
two
different
HE
institutions
(HEIs)
topic.
An
study
developed
based
application
a
questionnaire
group
112
students.
results
suggest
that
while
can
enhance
academic
work
learning
feedback,
it
requires
appropriate
support
foster
critical,
ethical,
digital
literacy
competencies.
Students
demonstrate
awareness
both
risks
benefits
associated
settings.
concludes
failing
recognize
effectively
use
impedes
educational
progress
adequate
preparation
citizens
workers
think
act
an
AI-mediated
world.
Язык: Английский
AI-enabled personalized learning: empowering management students for improving engagement and academic performance
Vilakshan – XIMB Journal of Management,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 23, 2024
Purpose
In
today’s
highly
competitive
world,
the
purpose
of
this
research
is
to
emphasize
increasing
significance
management
education
and
advocate
for
adoption
innovative
teaching
approaches,
specifically
focusing
on
artificial
intelligence
(AI)-driven
personalized
learning
(PL).
This
study
aims
explore
integration
self-determination
theory
(SDT)
principles
into
education,
with
a
primary
focus
enhancing
student
motivation,
engagement
academic
performance
(AP).
Design/methodology/approach
interdisciplinary
adopts
multifaceted
approach,
combining
perspectives
from
AI,
psychology.
The
design
methodology
involve
thorough
exploration
theoretical
foundations
both
AI-driven
SDT.
demonstrates
how
these
two
elements
can
synergize
create
holistic
educational
experience.
To
substantiate
claims,
empirical
data-driven
analyses
are
employed,
showcasing
effectiveness
AI-enabled
(AIPL).
integrates
SDT,
such
as
autonomy,
competence
relatedness,
an
environment
where
students
intrinsically
motivated,
receiving
tailored
instruction
optimal
outcomes.
Findings
study,
rooted
in
AIPL’s
transformative
impact
education.
It
positively
influences
students’
fostering
engagement.
Autonomy
key
driver,
strongly
linked
improved
AP.
path
analysis
model
validates
relationships,
highlighting
AI’s
pivotal
role
reshaping
experiences
motivating
students.
Practical
implications
holds
substantial
educators,
policymakers
researchers.
findings
indicate
that
AIPL
effective
interest
improving
Furthermore,
offers
practical
guidance
implementing
AI
empower
students,
enhance
align
SDT
principles.
Originality/value
Contribute
original
insights
through
lens.
Synthesize
principles,
providing
roadmap
more
Empirical
credibility,
offering
valuable
contributions
educators
technology-influenced
landscape.
Язык: Английский
Exploring the impact of integrating AI tools in higher education using the Zone of Proximal Development
Education and Information Technologies,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 22, 2024
Язык: Английский
The Impact of AI on the Personal and Collaborative Learning Environments in Higher Education
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Янв. 7, 2025
ABSTRACT
Artificial
intelligence
(AI)
has
extensively
developed,
impacting
different
sectors
of
society,
including
higher
education,
and
attracted
the
attention
various
educational
stakeholders,
leading
to
a
growing
number
research
on
its
integration
into
education.
Hence,
this
systematic
literature
review
examines
impact
integrating
AI
tools
in
education
students'
personal
collaborative
learning
environments.
Analysis
148
articles
published
between
2021
2024
indicates
that
Tools
improve
personalised
assessments,
communication
engagement,
scaffolding
performance
motivation.
Additionally,
they
promote
environment
by
providing
peer‐learning
opportunities,
enhanced
learner‐content
interaction
cooperative
support.
Indeed,
strategies
such
as
skills
development,
ethical
use,
academic
integrity
instructional
content
design.
Acknowledged
limitations
include
considerations,
particularly
privacy
bias,
which
require
ongoing
attention.
it
is
recommended
create
good
balance
AI‐mediated
human
environments,
key
area
future
exploration.
Язык: Английский
The acceptance of artificial intelligence in education among postgraduate students in Malaysia
Education and Information Technologies,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 6, 2024
Язык: Английский
Can Generative AI Revolutionise Academic Skills Development in Higher Education? A Systematic Literature Review
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Фев. 14, 2025
ABSTRACT
This
systematic
review
investigates
the
impact
of
generative
artificial
intelligence
(GenAI)
tools
on
developing
academic
skills
in
higher
education.
Analysing
158
studies
published
between
2021
and
2024,
it
focuses
GenAI
development
cognitive,
technical
interpersonal
skills.
The
results
reveal
that
94%
sampled
reported
significant
improvements
cognitive
skills,
like
critical
thinking,
problem‐solving,
analytical
metacognitive
abilities,
facilitated
by
personalised
learning
feedback.
Indeed,
was
research
(24%),
writing
(26%),
data
analysis
(33%)
literacy
(18%).
Additionally,
were
found
to
promote
fostering
interactive
engaging
environments,
with
notable
communication
organisation
empathy
(5%)
teamwork
(45%).
Hence,
this
underscores
importance
ethical
responsible
use
tools,
ongoing
monitoring
active
stakeholder
engagement
maximise
their
benefits
They
offer
a
promising
avenue
for
advancement
enhancing
proficiency
promoting
effective
teamwork.
Therefore,
significantly
enhance
skills;
however,
integration
requires
robust
framework
sustained
examination
long‐term
impacts.
Язык: Английский
Artificial intelligence in university education: Systematic review
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 4, 2024
Abstract
Frequent
changes
in
university
education
have
been
structurally
disrupted
by
the
incorporation
of
artificial
intelligence
(AI),
through
use
latest
tools
and
applications
students
teachers
teaching-learning
process.
The
objective
this
study
was
to
analyze
interpret
bibliometric
results
biblioshiny
on
education,
as
well
assess
its
contributions
period
from
2019
2023.
method
applied
is
systematic
review
with
purpose
answering
specific
research
questions,
means
clear,
systematic,
replicable
search
methods;
for
which
a
universe
917
publications
indexed
Scopus,
WoS
PubMed
accessed
sample
59
scientific
articles
selected.
indicate
that
majority
made
China,
followed
Spain
United
States,
there
also
little
evidence
collaboration
among
researchers,
dispersion
topics
isolation
small
networks.
In
universities,
application
being
reported,
but
demand
educate
their
correct
development
deep
learning
activation
higher
cognitive
processes
students,
pedagogical
orientation
trained
subject
required.
Язык: Английский
Artificial Intelligence Tool Adoption in Higher Education: A Structural Equation Modeling Approach to Understanding Impact Factors among Economics Students
Electronics,
Год журнала:
2024,
Номер
13(18), С. 3632 - 3632
Опубликована: Сен. 12, 2024
The
integration
of
Artificial
Intelligence
(AI)
in
higher
education
has
the
potential
to
significantly
enhance
educational
process
and
student
outcomes.
However,
there
is
a
limited
understanding
factors
influencing
AI
adoption
among
university
students,
particularly
economic
programs.
This
study
examines
relationship
between
students’
perceptions
efficacy
usefulness
tools,
their
access
these
concerns
regarding
usage.
A
comprehensive
survey
Romanian
focusing
on
economics
was
undertaken.
identifies
critical
latent
investigates
interrelationships
by
employing
advanced
analytical
techniques,
such
as
Exploratory
Factor
Analysis
(EFA),
Confirmatory
(CFA),
Structural
Equation
Modeling
(SEM),
with
robust
standard
errors.
results
suggest
that
formal
training
integration,
AI,
perceived
utility,
positive
attitudes
towards
are
positively
influenced
general
awareness
familiarity
tools.
frequency
tool
usage
substantially
increased
usefulness,
attitudes,
integration.
Conversely,
utility
adversely
affected
AI-related
concerns.
Indirect
effects
indirectly
increase
increasing
awareness.
research
relevant
computer
science,
it
helps
build
strategies
integrate
technologies
into
processes.
Increasing
tools
addressing
can
facilitate
widespread
effective
technologies,
improving
academic
experiences
Язык: Английский
Aprender a emprender con IA y método de talento digital
Iberoamerican Business Journal,
Год журнала:
2024,
Номер
1(1), С. 48 - 63
Опубликована: Ноя. 25, 2024
Se
comparten
aquí
las
claves
de
una
exitosa
experiencia
responsabilidad
social
universitaria
orientada
al
aprendizaje
para
el
emprendimiento
digital,
modo
que
pueda
ayudar
a
otros
en
su
implementación.
trata
innovación
docente,
activo,
aula
invertida
y
gamificación,
se
viene
realizando
durante
años
diversas
titulaciones
campus
la
Universidad
Rey
Juan
Carlos
(España).
articula
desde
los
marcos
teóricos
metodológicos
Escuela
Austriaca
Economía
Neoinstitucionalistas.
Primero,
aclara
qué
consiste
cómo
ha
venido
realizando,
luego
ofrecer
avances
con
incorporación
inteligencia
artificial
proceso.
Esta
permitido
estudiantes
estar
preparados
conforme
sentido
original
universitaria,
atendiéndose
por
igual
ambitio
dignitatis
et
pecuniae
(el
compromiso
formación
ciudadanos
profesionales).