Generative artificial intelligence in teacher training: a narrative scoping review
CTE Workshop Proceedings,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 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
Language: Английский
Empowering ChatGPT adoption in higher education: A comprehensive analysis of university students' intention to adopt artificial intelligence using self-determination and technology-to-performance chain theories
The Internet and Higher Education,
Journal Year:
2025,
Volume and Issue:
unknown, P. 101015 - 101015
Published: March 1, 2025
Language: Английский
The More Anxious, the More Dependent? The Impact of Math Anxiety on AI‐Assisted Problem‐Solving
Feng Chen,
No information about this author
Jihe Chen,
No information about this author
Yanying Xu
No information about this author
et al.
Psychology in the Schools,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 4, 2025
ABSTRACT
Although
the
use
of
AI
technology
driven
by
anxiety
has
become
increasingly
common,
research
on
relationship
between
high
school
students'
math
and
their
intention
to
for
problem‐solving
remains
limited.
This
study,
grounded
in
Stimulus‐Organism‐Response
(SOR)
model,
aims
explore
solving
problems
among
students.
Using
Math
Anxiety
Scale
(AMAS),
Perceived
Social
Support
(PSSS),
Problem‐Solving
Behavior
(AIPS),
data
from
391
students
were
collected.
The
analysis
revealed
following:
(1)
Students
report
levels
a
strong
inclination
tools
problems;
(2)
support
plays
significant
role
alleviating
anxiety,
with
family
being
most
effective,
followed
friends
teachers;
(3)
High
are
effective
means
reducing
anxiety.
study
suggests
that
should
be
addressed,
focus
regulating
application
education
promote
its
scientific
use.
Additionally,
improving
relationships
providing
mental
health
recommended
alleviate
an
emotional
social
perspective.
provides
valuable
insights
educators
policymakers,
offering
important
references
designing
more
human‐centered
educational
interventions,
thereby
promoting
artificial
intelligence
mathematics
education.
Language: Английский