Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
This
paper
explains
the
dilemma
of
artificial
intelligence
in
relation
to
development
teacher
education
based
on
functional
structure
and
activity
characteristics
education.
Then,
after
designing
a
survey
questionnaire
factors
affecting
empowered
by
completing
reliability
test,
collects
initial
data
form
distributing
questionnaires
analyzes
detail
least
squares
estimation
mean,
variance,
standard
deviation,
correlation
coefficient,
regression
coefficient
needed
process
analyzing
carry
out
analysis
instances.
The
coefficients
training,
professional
development,
policy
support,
resource
allocation,
literacy,
educational
information
technology
behaviors,
AI-enabled
are
0.674
(0.003),
0.496
(0.001),
0.259
(0.009),
0.371
(0.008),
0.639
(0.004),
0.325
(0.007).
Their
corresponding
were
0.616
(t=59.852,
P=0.003),
0.021
(t=0.018,
P=0.007),
0.078
(t=5.668,
P=0.005),
0.032
(t=3.282,
P=0.009),
0.239
(t=29.734,
P=0.008),
0.137
(t=5.406,
P=0.001),
indicating
that
these
have
significant
impact
relationship
European Journal of Education,
Journal Year:
2025,
Volume and Issue:
60(1), P. 1 - 16
Published: Jan. 27, 2025
ABSTRACT
Artificial
Intelligence
(AI)
literacy
has
come
to
the
spotlight,
empowering
individuals
adeptly
navigate
modern
digitalised
world.
However,
studies
on
teacher
AI
in
English
as
a
Foreign
Language
(EFL)
context
remain
limited.
This
study
aims
identify
intraindividual
differences
and
examine
its
associations
with
age
years
of
teaching
experience
among
782
teachers.
Given
absence
reliable
instrument
measure
literacy,
we
first
constructed
validated
scale
encompassing
five
sub‐scales:
Knowledge
,
Use
Assessment
Design
Ethics
.
Subsequently,
latent
profile
analysis
(LPA)
was
conducted
using
Mplus
7.4,
results
revealing
four
distinct
profiles:
Poor
(C1:
12.1%),
Moderate
(C2:
45.5%),
Good
(C3:
28.4%),
Excellent
(C4:
14.1%).
Multinomial
logistic
regression
analyses
indicated
significant
between
both
experience.
Additionally,
32
respondents
participated
semi‐structured
interviews.
The
qualitative
data
analysed
MAXQDA
2022
triangulated
quantitative
offered
deeper
insights
into
teachers’
perceptions
their
literacy.
provides
theoretical
practical
implications
for
understanding
Chinese
EFL
context.
Computers and Education Open,
Journal Year:
2024,
Volume and Issue:
6, P. 100191 - 100191
Published: May 21, 2024
This
study
investigates
the
acceptance
and
utilization
of
artificial
intelligence
(AI)
among
in-service
teachers
in
Lesotho,
focusing
on
mediating
role
school
support
resources
(SSR).
In
Lesotho's
educational
landscape,
which
is
characterized
by
a
growing
interest
technology
integration,
this
fills
an
essential
gap
existing
literature
exploring
teachers'
perspectives
AI
adoption
influence
SSR.
Using
Unified
Theory
Acceptance
Use
Technology
(UTAUT)
as
theoretical
framework,
adopts
cross-sectional
design,
collecting
data
from
sample
315
through
online
surveys.
The
was
analyzed
using
maximum
likelihood
estimation.
results
reveal
substantial
positive
relationship
between
perceived
usefulness,
ease
use,
attitude
towards
AI,
with
SSR
playing
pivotal
complementary
mediator
these
connections.
However,
identifies
non-significant
technical
proficiency
behavioral
intention,
suggesting
need
for
further
investigation
into
skills
effective
integration.
highlight
critical
shaping
intentions
to
use
their
teaching
practices.
As
result,
recommends
tailored
continuous
professional
development
programs
collaborative
learning
communities
enhance
skills.
Additionally,
it
emphasizes
importance
advocating
policies
that
integration
education
underscores
ethical
considerations
related
use.
We
discuss
implications
our
concerning
integrating
practices
schools
outline
future
directions.
European Journal of Education,
Journal Year:
2025,
Volume and Issue:
60(1)
Published: Feb. 21, 2025
ABSTRACT
Artificial
intelligence
(AI)
is
significantly
shaping
education
and
currently
influencing
pre‐service
teachers'
academic
professional
journeys.
To
explore
this
influence,
the
present
study
examines
389
Generation
Z
attitudes
towards
AI
its
impact
on
educational
decision‐making
at
two
state
universities,
using
an
explanatory
sequential
mixed‐methods
research
design.
Quantitative
data
were
collected
through
General
Attitudes
to
Intelligence
Scale
(GAAIS)
survey.
It
was
followed
by
qualitative
gathered
via
semi‐structured
interviews
enrich
statistical
trends
with
deeper
thematic
insights.
SPSS
used
for
quantitative
analysis
while
MAXQDA
employed
a
systematic
of
data.
The
revealed
that
female
teachers
held
more
positive
AI,
higher
levels
knowledge
contributing
these
attitudes.
Negative
attitudes,
however,
independent
gender,
discipline
or
familiarity.
Findings
also
reveal
tools,
particularly
ChatGPT,
are
primarily
as
advisors,
often
adapt
AI's
suggestions
their
preferences.
predominantly
preferred
assignments,
reports,
projects
presentations.
In
acceptance,
time
effort
savings,
innovative
unbiased
recommendations
stated
key
factors.
However,
there
ongoing
trust
concerns
highlighting
necessity
keeping
final
decisions
under
human
control.
Based
findings,
comprehensive
training
students
in
suggested.
Pedagogies An International Journal,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 17
Published: Jan. 10, 2025
Recent
advancements
in
artificial
intelligence
(AI)
technologies
have
created
new
opportunities
education.
While
existing
research
has
largely
focused
on
AI's
role
educational
contexts
and
teachers'
perceptions
of
AI-supported
learning,
there
remains
a
notable
gap
understanding
readiness
to
integrate
AI
into
their
instructional
practices.
This
study
addresses
this
by
exploring
pre-service
English
language
(PELTs)
incorporate
future
classrooms,
specifically
examining
confidence
using
AI,
attitudes
towards
perceived
needs
for
training
support.
The
involved
nine
PELTs
enrolled
at
state
university
Türkiye
employed
qualitative
methodology.
Data
were
collected
through
reflective
journals
semi-structured
interviews,
thematic
analysis
was
used
identify
key
findings.
Results
revealed
that
generally
hold
positive
education
but
emphasize
the
need
targeted
additional
support
implement
effectively
teaching
These
findings
underscore
importance
enhancing
AI-related
programs
teachers
facilitate
integration
Future
with
larger
more
diverse
samples
is
recommended
validate
these
results
provide
robust
insights
policymaking
curriculum
development.
IFLA Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 13, 2025
Artificial
intelligence
(AI)
literacy
has
become
an
important
skill
for
library
and
information
professionals.
This
scoping
review
synthesizes
the
literature
that
explores
use
of
AI
to
educate
academic
librarians
users.
From
1824
articles
found,
authors
selected
10
suitable
articles.
The
study
found
professional
organizations
have
developed
resources
and/or
AI-literacy-based
policy
guidelines,
which
help
users
make
literate
fair
AI.
For
their
part,
professionals
promote
through
workshops,
sessions,
user
education,
LibGuides
content
online
tutorial
programmes.
At
same
time,
highlights
need
these
more
AI-literate
themselves.
education
programmes
provided
by
libraries
can
play
a
vital
role
in
effective
AI-based
tools
products
research
purposes.