Frontiers in Education,
Journal Year:
2025,
Volume and Issue:
10
Published: Feb. 3, 2025
The
effective
integration
of
Generative
Artificial
Intelligence
(GenAI)
into
educational
practices
holds
promise
for
enhancing
teaching
and
learning
processes.
Examining
faculty
acceptance
use
GenAI
implementation
can
provide
valuable
insights
the
conditions
necessary
its
successful
application.
This
study
consisted
a
survey
to
measure
in
practice
208
members
at
private
university
Mexico.
instrument
used
integrates
elements
Technology
Acceptance
Model
(TAM)
Theory
Reasoned
Action
(TRA).
original
questionnaire
was
translated
Spanish
validated
by
experts
ensure
reliability
validity
new
context.
Overall,
dimensions
obtained
middle-high
results.
Behavioral
intention
highest
values
whereas
Subjective
norm
lowest
values.
Significant
differences
regarding
disciplines
sociodemographics
were
not
identified.
Also,
is
positively
moderate
correlated
with
produce
text.
identified
level
among
toward
environments
leads
expect
promising
future
practices.
In
addition,
further
research
on
student
impact
training
settings
are
encouraged.
Information,
Journal Year:
2024,
Volume and Issue:
15(11), P. 676 - 676
Published: Oct. 28, 2024
(1)
Background:
The
development
of
generative
artificial
intelligence
(GAI)
is
transforming
higher
education.
This
systematic
literature
review
synthesizes
recent
empirical
studies
on
the
use
GAI,
focusing
its
impact
teaching,
learning,
and
institutional
practices.
(2)
Methods:
Following
PRISMA
guidelines,
a
comprehensive
search
strategy
was
employed
to
locate
scientific
articles
GAI
in
education
published
by
Scopus
Web
Science
between
January
2023
2024.
(3)
Results:
identified
102
articles,
with
37
meeting
inclusion
criteria.
These
were
grouped
into
three
themes:
application
technologies,
stakeholder
acceptance
perceptions,
specific
situations.
(4)
Discussion:
Key
findings
include
GAI’s
versatility
potential
use,
student
acceptance,
educational
enhancement.
However,
challenges
such
as
assessment
practices,
strategies,
risks
academic
integrity
also
noted.
(5)
Conclusions:
help
identify
directions
for
future
research,
including
pedagogical
ethical
considerations
policy
development,
teaching
learning
processes,
perceptions
students
instructors,
technological
advancements,
preparation
skills
workforce
readiness.
study
has
certain
limitations,
particularly
due
short
time
frame
criteria,
which
might
have
varied
if
conducted
different
researchers.
Journal of Lifestyle and SDGs Review,
Journal Year:
2025,
Volume and Issue:
5(2), P. e03774 - e03774
Published: Jan. 7, 2025
Objective:
The
objective
of
this
study
is
to
investigate
the
transformative
potential
generative
AI
in
advancing
Sustainable
Development
Goal
4
(SDG
4),
with
aim
enhancing
equity,
accessibility,
and
quality
higher
education
through
integration
AI-driven
systems
practices.
Theoretical
Framework:
This
research
underpinned
by
Academic
Convergence
(AIAC)
Framework,
which
aligns
theories
such
as
constructivism,
Vygotsky’s
cultural-historical
theory,
Bloom’s
Taxonomy.
These
frameworks
provide
a
solid
basis
for
understanding
interplay
between
personalized
learning,
cognitive
engagement,
stakeholder
collaboration,
ethical
governance
educational
ecosystems.
Method:
methodology
adopted
comprises
Literature-Driven
Conceptual
Framework
approach,
synthesizing
peer-reviewed
studies
across
key
themes:
operational
efficiency,
collaborative
governance.
Data
collection
involved
systematic
literature
reviews
scholarly
articles,
books,
conference
proceedings
within
past
decade.
Results
Discussion:
results
reveal
that
AIAC
promotes
tailored,
adaptive
learning
pathways,
enhances
faculty
roles
AI-enabled
mentors,
optimizes
administrative
workflows
predictive
analytics.
discussion
contextualizes
these
findings
existing
theories,
emphasizing
framework's
ability
mitigate
challenges
algorithmic
bias,
equity
gaps,
data
privacy
concerns.
Limitations
include
need
empirical
validation
addressing
resource
disparities
underprivileged
contexts.
Research
Implications:
practical
theoretical
implications
are
significant
institutions,
policymakers,
practitioners.
fostering
innovative
teaching
practices,
equitable
access
AI-enhanced
tools,
aligning
strategies
labor
market
demands
analytics
Originality/Value:
contributes
introducing
an
scalable
model
integrating
into
education.
Its
value
lies
bridging
digital
divide,
lifelong
positioning
institutions
leaders
sustainable
integration,
ultimately
mission
SDG
4.
Arts Education Policy Review,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 8
Published: Jan. 10, 2025
The
widespread
application
of
generative
artificial
intelligence
(AI)
poses
both
opportunities
and
challenges
in
formal
music
education.
Students
can
now
effortlessly
compose
using
simple
text
prompts
with
AI
generators,
a
situation
which
encourages
innovative
pedagogical
approaches
democratizes
creativity
the
classroom.
However,
concerns
about
cultural
bias,
originality,
equity,
ethical
use
school
education
require
careful
regulation.
This
article
highlights
potential
benefits
risks
through
review
current
applications
education,
process
proposing
set
policy
recommendations
that
serve
to
ethically
effectively
guide
its
use.
These
include
enhancing
literacy
among
students
teachers,
developing
assessment
frameworks
reflect
collaborative
nature
AI-assisted
creation,
defining
acceptable
boundaries
terms
ensuring
equitable
access
tools,
providing
professional
development
for
teachers.
By
maintaining
an
awareness
technological
advancements
their
impact
on
students'
musical
engagement,
remain
relevant
young
people's
evolving
experiences
while
simultaneously
preparing
them
engage
confidently,
creatively,
critically
complex
landscape
AI.
Fırat Üniversitesi Sosyal Bilimler Dergisi,
Journal Year:
2025,
Volume and Issue:
35(1), P. 1 - 24
Published: Jan. 24, 2025
Artificial
intelligence
is
not
a
new
concept.
However,
it
has
reached
an
important
point
with
technological
development.
Today,
there
are
many
software
developed
using
artificial
and
various
application
areas
where
they
used.
Generative
intelligence,
one
of
these
areas,
technology
in
machine
learning
aiming
to
generate
content
by
training
on
large
data
sets.
used
fields
such
as
health,
business,
finance,
e-commerce,
academic
studies,
R&D.
This
study
evaluates
the
use
generative
applications
field.
In
this
context,
differences
similarities
between
texts
generated
ChatGPT,
Claude
Sonet,
Google
Gemini
prepared
human
were
analyzed
regarding
subject
integrity,
language,
ethics,
plagiarism
rate.
Descriptive
analysis,
qualitative
methods,
was
study.
As
result,
concluded
that
similar
integrity
content,
rates
vary
according
language.
Frontiers in Education,
Journal Year:
2025,
Volume and Issue:
10
Published: Feb. 3, 2025
The
effective
integration
of
Generative
Artificial
Intelligence
(GenAI)
into
educational
practices
holds
promise
for
enhancing
teaching
and
learning
processes.
Examining
faculty
acceptance
use
GenAI
implementation
can
provide
valuable
insights
the
conditions
necessary
its
successful
application.
This
study
consisted
a
survey
to
measure
in
practice
208
members
at
private
university
Mexico.
instrument
used
integrates
elements
Technology
Acceptance
Model
(TAM)
Theory
Reasoned
Action
(TRA).
original
questionnaire
was
translated
Spanish
validated
by
experts
ensure
reliability
validity
new
context.
Overall,
dimensions
obtained
middle-high
results.
Behavioral
intention
highest
values
whereas
Subjective
norm
lowest
values.
Significant
differences
regarding
disciplines
sociodemographics
were
not
identified.
Also,
is
positively
moderate
correlated
with
produce
text.
identified
level
among
toward
environments
leads
expect
promising
future
practices.
In
addition,
further
research
on
student
impact
training
settings
are
encouraged.
