Generative artificial intelligence in teacher training: a narrative scoping review
CTE Workshop Proceedings,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 11, 2025
The
emergence
of
generative
artificial
intelligence
(GenAI)
has
transformed
various
sectors,
including
education.
This
narrative
scoping
review
examines
how
GenAI
is
being
integrated
into
teacher
training
programs,
exploring
its
applications,
benefits,
challenges,
and
implementation
frameworks.
By
synthesizing
findings
from
recent
literature
(2022-2025),
we
identify
key
themes
the
development
AI
literacy
among
teachers,
impact
on
pedagogical
content
knowledge,
ethical
considerations
in
implementation.
Our
analysis
reveals
significant
benefits
enhancing
teaching
performance
facilitating
personalized
learning,
while
also
highlighting
challenges
such
as
technical
limitations,
concerns,
resistance
to
change.
We
gaps
current
research,
particularly
non-STEM
subjects
framework
development,
suggest
directions
for
future
research
advance
responsible
integration
Язык: Английский
Technological Self-Efficacy and Sense of Coherence: Key Drivers in Teachers' AI Acceptance and Adoption
Computers and Education Artificial Intelligence,
Год журнала:
2025,
Номер
unknown, С. 100377 - 100377
Опубликована: Фев. 1, 2025
Язык: Английский
Knowledge as the Engine: Transforming Healthcare Delivery Through Information and Communications Technology Applying a Sustainable Development Framework
Sustainable Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 7, 2025
ABSTRACT
The
future
of
health
in
Ghana
is
indeed
a
complex
and
multifaceted
landscape
characterized
by
both
challenges
promising
opportunities.
Such
opportunities
lie
adopting
technology,
which
can
revolutionize
healthcare
knowledge
management
elevate
quality
Ghana.
As
such,
this
study
tested
the
prognosis
using
lens
technology
acceptance
model
(TAM)
to
investigate
information
communications
(ICT)
assimilation
activities
(KA)
improve
delivery
Community‐based
Health
Planning
Services
(CHPS)
zones
TAM
framework
offers
strong
theoretical
basis
for
evaluating
professionals'
use
ICT
providing
services.
A
pooled
dataset
657
sector
respondents
was
employed
test
hypothesis
Partial
Least
Squares
Structural
Equation
Modeling
(PLS‐SEM)
technique.
It
found
that
adoption
KA
significantly
helps
facilities
Moreover,
relationship
best
mediated
through
policies
(HP)
KA.
results
further
demonstrate
effective
CHPS
contributes
HP
monitoring.
concluded
advent
has
reformed
collaboration
among
diverse
teams
sector,
fostering
seamless
exchange
expertise.
This
interactive
platform,
accessible
at
fraction
cost
traditional
methods,
empowers
providers
work
together
effectively,
enhancing
efficiency
patient
care.
Язык: Английский
Teachers’ Generative AI Self-Efficacy, Valuing, and Integration at Work: Examining Job Resources and Demands
Computers and Education Artificial Intelligence,
Год журнала:
2024,
Номер
unknown, С. 100333 - 100333
Опубликована: Ноя. 1, 2024
Язык: Английский
Beyond acceptance: an empirical investigation of technological, ethical, social, and individual determinants of GenAI-supported learning in higher education
Education and Information Technologies,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 19, 2024
Язык: Английский
Understanding Student Attitudes toward GenAI Tools: A Comparative Study of Serbia and Austria
International Journal of Cognitive Research in Science Engineering and Education,
Год журнала:
2024,
Номер
12(3), С. 583 - 611
Опубликована: Дек. 30, 2024
This
study
explores
university
students’
attitudes
toward
generative
AI
technology
and
tools
in
two
European
countries.
Driven
by
the
increasing
integration
of
education
limited
research
on
student
perceptions,
particularly
contexts,
this
aimed
to
understand
how
students
view
GenAI
its
implications
for
higher
education.
The
employed
a
quantitative
approach,
using
surveys
collect
data
across
different
fields
study,
genders,
A
key
innovation
is
development
novel
“Attitude
AI”
scale,
designed
provide
robust
theoretically
grounded
instrument
measuring
perceptions
GenAI.
scale
offers
valuable
tool
evaluating
effectiveness
results
showed
that
differed
significantly
based
their
field
gender.
Male
technical
sciences
had
most
positive
adoption,
indicating
potential
drive
changes
implementation.
While
effect
size
was
small,
finding
underscores
importance
considering
individual
factors
when
designing
interventions
promote
acceptance.
underscored
prior
experience
shapes
attitudes,
highlighting
need
resources
familiarize
with
ethics.
significant
contribution
addressing
lack
reliable
instruments
assessing
GenAI,
enabling
deeper
understanding
influencing
informing
targeted
groups.
Further
needed
GenAI’s
long-term
impact.
Язык: Английский