Uluslararası Türk Eğitim Bilimleri Dergisi,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 27, 2024
This
study
examines
how
the
relationship
between
artificial
intelligence
(AI)
and
education
in
scientific
literature
is
evolving
around
common
key
concepts.
For
this
purpose,
science
mapping
method
was
employed.
Data
were
obtained
from
Web
of
Science
Core
Collection.
The
search
terms
included
“artificial
intelligence,”
“education,”
“instruction,”
“teaching,”
as
well
"OpenAI,"
"ChatGPT,"
"Chatbot."
Bibliographic
data
14,682
documents
extracted,
forming
dataset
for
study.
Analyses
conducted
using
VOSviewer
software
tool,
co-occurrence
analyses
performed
on
data.
These
produced
both
maps
detailed
outputs.
With
contribution
these
outputs,
general
emerging
concepts
map
identified.
results
indicate
that
AI-education
predominantly
discussed
context
instructional
methods
rather
than
a
technology
or
tool.
In
recent
years,
discourse
has
particularly
enriched
deepened
related
fields,
learning
environments/contexts,
issues/skills
to
teaching
learning,
research.
richness
supports
pedagogical
integration,
applicability,
ethics
perspectives.
Additionally,
it
strengthens
theoretical
foundations
by
linking
educational
incorporating
socio-psychological
elements.
However,
there
remains
potential
further
development
areas
such
impact
dynamics
human-AI
collaboration
Computers and Education Artificial Intelligence,
Год журнала:
2023,
Номер
5, С. 100165 - 100165
Опубликована: Янв. 1, 2023
Artificial
Intelligence
(AI)
strongly
influences
our
daily
lives
and
work
environments.
To
deal
with
the
challenges
as
well
to
pick
up
on
opportunities
associated
AI,
university
students
need
acquire
a
basic
understanding
of
AI
(so-called
literacy).
design
effective
study
programs
that
foster
competencies,
it
is
necessary
assess
state
students'
literacy.
While
there
already
are
some
literacy
tests
available,
many
instruments
focus
specific
courses,
rely
primarily
self-assessment,
or
do
not
provide
detailed
psychometric
information.
This
aims
develop
validate
an
test
initial
insights
into
current
among
German
students.
We
present
validated
multiple-choice
in
higher
education.
The
results
suggest
significant
variance
students,
most
showing
fundamental
AI.
technical
background
prior
experience
imply
for
courses
broader
audience
who
use
their
will
tools
future
careers.
Furthermore,
educators
should
consider
knowledge
when
designing
courses.
Journal for STEM Education Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 12, 2024
Abstract
Artificial
intelligence
(AI)
is
becoming
increasingly
relevant,
and
students
need
to
understand
the
concept.
To
design
an
effective
AI
program
for
schools,
we
find
ways
expose
knowledge,
provide
learning
opportunities,
create
engaging
experiences.
However,
there
a
lack
of
trained
teachers
who
can
facilitate
students’
learning,
so
focus
on
developing
capacity
pre-service
teach
AI.
Since
engagement
known
enhance
it
necessary
explore
how
engage
in
This
study
aimed
investigate
teachers’
with
after
4-week
at
university.
Thirty-five
participants
took
part
reported
their
perception
7-factor
scale.
The
factors
assessed
survey
included
(cognitive—critical
thinking
creativity,
behavioral,
social),
attitude
towards
AI,
anxiety
readiness,
self-transcendent
goals,
confidence
We
used
structural
equation
modeling
approach
test
relationships
our
hypothesized
model
using
SmartPLS
4.0.
results
supported
all
hypotheses,
attitude,
anxiety,
being
found
influence
engagement.
discuss
findings
consider
implications
practice
policy.
Sustainability,
Год журнала:
2024,
Номер
16(10), С. 4068 - 4068
Опубликована: Май 13, 2024
In
the
dynamic
landscape
of
modern
education,
characterized
by
an
increasingly
active
involvement
IT
technologies
in
learning,
imperative
to
transfer
university
students
skills
necessary
integrate
Artificial
Intelligence
(AI)
into
process
represents
important
goal.
This
paper
presents
a
novel
framework
for
knowledge
transfer,
diverging
from
traditional
programming
language-centric
approaches
integrating
PSoC
6
microcontroller
technology.
proposes
cyclical
learning
cycle
encompassing
theoretical
fundamentals
and
practical
experimentation,
fostering
AI
literacy
at
edge.
Through
structured
combination
instruction
hands-on
develop
proficiency
understanding
harnessing
capabilities.
Emphasizing
critical
thinking,
problem-solving,
creativity,
this
approach
equips
with
tools
navigate
complexities
real-world
applications
effectively.
By
leveraging
as
educational
tool,
new
generation
individuals
is
efficiently
cultivated
essential
skills.
These
are
adept
address
societal
challenges
drive
innovation,
thereby
contributing
long-term
sustainability
initiatives.
Specific
strategies
experiential
curriculum
recommendations,
results
application
presented,
aimed
preparing
excel
future
where
will
be
omnipresent
indispensable.
