Relevance and Impact of Generative AI in Vocational Instructional Material Design: A Systematic Literature Review
Salud Ciencia y Tecnología,
Год журнала:
2025,
Номер
5, С. 1336 - 1336
Опубликована: Янв. 1, 2025
This
study
examines
the
relevance
and
impact
of
Generative
Artificial
Intelligence
(GenAI)
in
design
instructional
materials
for
vocational
education
through
a
systematic
literature
review
following
PRISMA
guidelines.
The
draws
from
reputable
databases,
including
Scopus,
Web
Science
(WoS),
ERIC,
to
identify
peer-reviewed
articles
published
between
2019
2024.
After
applying
inclusion
exclusion
criteria,
28
eligible
were
analyzed.
findings
highlight
that
GenAI
significantly
enhances
material
by
supporting
personalized
learning,
automating
content
creation,
improving
accessibility.
It
enables
development
adaptive
high-quality
resources
tailored
diverse
learner
needs
education.
Furthermore,
visualizes
research
trends
using
bibliometric
analysis,
providing
insights
into
evolution
distribution
GenAI-related
across
time,
regions,
themes.
However,
challenges
such
as
need
digital
competency
among
educators,
ethical
concerns
regarding
bias
quality,
potential
over-reliance
on
AI
tools
are
identified.
underscores
importance
balancing
AI-driven
innovation
with
human-centered
ensure
effective
sustainable
educational
practices.
Practical
recommendations
include
targeted
professional
programs
frameworks
guide
integration
Язык: Английский
Relevance and Impact of Generative AI in Vocational Instructional Material Design: A Systematic Literature Review
Salud Ciencia y Tecnología,
Год журнала:
2025,
Номер
5, С. 1636 - 1636
Опубликована: Март 4, 2025
This
study
examines
the
relevance
and
impact
of
Generative
Artificial
Intelligence
(GenAI)
in
design
instructional
materials
for
vocational
education
through
a
systematic
literature
review
following
PRISMA
guidelines.
The
draws
from
reputable
databases,
including
Scopus,
Web
Science
(WoS),
ERIC,
to
identify
peer-reviewed
articles
published
between
2019
2024.
After
applying
inclusion
exclusion
criteria,
28
eligible
were
analyzed.
findings
highlight
that
GenAI
significantly
enhances
material
by
supporting
personalized
learning,
automating
content
creation,
improving
accessibility.
It
enables
development
adaptive
high-quality
resources
tailored
diverse
learner
needs
education.
Furthermore,
visualizes
research
trends
using
bibliometric
analysis,
providing
insights
into
evolution
distribution
GenAI-related
across
time,
regions,
themes.
However,
challenges
such
as
need
digital
competency
among
educators,
ethical
concerns
regarding
bias
quality,
potential
over-reliance
on
AI
tools
are
identified.
underscores
importance
balancing
AI-driven
innovation
with
human-centered
ensure
effective
sustainable
educational
practices.
Practical
recommendations
include
targeted
professional
programs
frameworks
guide
integration
Язык: Английский