Computers and Education Artificial Intelligence,
Journal Year:
2023,
Volume and Issue:
5, P. 100165 - 100165
Published: Jan. 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,
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 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.
International Journal of Educational Reform,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 4, 2025
Purpose:
This
research
aimed
to
develop
testing
instruments
for
the
ability
think
of
high
level
chemicals
that
are
valid,
relay,
and
have
quality
problem
items
in
good
category.
Design/Approach/Methods:
The
study
used
a
quantitative
approach
with
modifications
Wilson,
Oriondo,
Antonio
models.
Stratified
random
sampling
techniques
275
sample
students.
Polytomous
data
were
analyzed
using
Partial
Credit
Models.
Findings:
results
analysis
showed
validity
reliability
by
0.9
0.854,
16
points
questions
having
fit
category
79%.
difficulty
index
20
question
was
1
item
“Difficult”
19
“Medium.”
test
takers
(Ɵ)
range
−2
+2,
which
relatively
good.
development
qualified
be
measure
thinking
levels
chemistry.
Originality/Value:
discusses
on
application
Item
Response
Theory
developing
higher
order
skills
chemistry
learning.
We
hope
this
can
trigger
other
role
teachers
measuring
students’
abilities
21st-century
