Advancing SDG 4: Harnessing Generative AI to Transform Learning, Teaching, and Educational Equity in Higher Education
Journal of Lifestyle and SDGs Review,
Год журнала:
2025,
Номер
5(2), С. e03774 - e03774
Опубликована: Янв. 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.
Язык: Английский
Artificial Intelligence Adoption in Public Administration: An Overview of Top-Cited Articles and Practical Applications
AI,
Год журнала:
2025,
Номер
6(3), С. 44 - 44
Опубликована: Фев. 21, 2025
Background:
The
adoption
of
artificial
intelligence
(AI)
in
public
administration
(PA)
has
the
potential
to
enhance
transparency,
efficiency,
and
responsiveness,
ultimately
creating
greater
value.
However,
integration
AI
into
PA
faces
challenges,
including
conceptual
ambiguities
limited
knowledge
practical
applications.
This
study
addresses
these
gaps
by
offering
an
overview
categorization
research
applications
PA.
Methods:
Using
a
dataset
3149
documents
from
Scopus
database,
this
identifies
top
200
most-cited
articles
based
on
citation
per
year.
It
conducts
descriptive
content
analyses
identify
existing
state,
applications,
challenges
regarding
adoption.
Additionally,
selected
use
cases
European
Commission’s
database
are
categorized,
focusing
their
contributions
analysis
centers
three
governance
dimensions:
internal
processes,
service
delivery,
policymaking.
Results:
findings
provide
categorized
understanding
concepts,
types,
PA,
alongside
discussion
best
practices
challenges.
Conclusion:
serves
as
resource
for
researchers
seeking
comprehensive
current
state
offers
policymakers
practitioners
insights
leveraging
technologies
improve
delivery
operational
efficiency.
Язык: Английский