SSRN Electronic Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
This
study
explores
how
Generative
Artificial
Intelligence
(AI)
can
assist
educators
in
grading,
especially
authentic
assessments
within
economics
education.
Authentic
assessments,
crucial
for
developing
21st-century
skills,
often
involve
complex,
take-home
assignments
that
challenge
students
to
apply
theoretical
knowledge
practical
situations.
These
assignments,
though
essential,
pose
grading
challenges
due
time
constraints
and
potential
biases.
Addressing
this,
the
introduces
a
framework
assess
AI's
effectiveness
using
tools
like
ChatGPT4.
The
involves
comparing
human
expert
evaluations
with
those
generated
by
AI,
across
various
cognitive
levels
of
Bloom's
taxonomy.
research
specifically
examines
ability
grade
text
data
analysis
questions,
its
consistency
markers,
while
also
considering
biases
halo
confirmation
effects.
findings
indicate
ChatGPT4
aligns
closely
lower-level
tasks
text-based
it
falls
short
higher-level
tasks.
not
only
highlights
AI
enhancing
efficiency
reducing
higher
education
but
points
out
limitations,
offering
insights
policymakers.
The Journal of Creative Behavior,
Journal Year:
2025,
Volume and Issue:
59(1)
Published: Feb. 1, 2025
ABSTRACT
Considering
the
pivotal
role
of
creativity
across
various
eras
and
rapid
integration
Artificial
Intelligence
(AI)
in
both
creative
processes
education,
this
study
introduces
provides
validity
evidence
for
AI‐assisted
Creativity
Questionnaire
(AICQ).
This
new
16‐item
instrument
aims
to
quantify
human
potential
endeavors.
Initially,
a
diverse
cohort
322
university
students
Taiwan
completed
AICQ
from
November
December
2023.
Through
exploratory
factor
analysis
(EFA)
responses
sample,
three
distinct
factors
emerged:
(1)
functional
(AIFC),
(2)
visual
artistic
(AIVAC),
(3)
ideational
(AIIC).
One
item
was
removed
due
cross‐loading.
Subsequently,
September
2024,
330
engaged
with
28‐item
Creative
Behavior
Inventory
(CBI).
Based
on
construct
examined
using
confirmatory
(CFA),
which
affirmed
that
three‐factor
model
provided
good
fit
data.
Gender
differences
scores
were
found
these
subsequent
Overall,
data
participants
reliability
as
well
convergent,
concurrent,
discriminant
obtained
AICQ.
SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
The
construction
sector
is
characterized
by
dynamic
and
perilous
conditions,
demanding
innovative
strategies
to
bolster
worker
safety.
This
research
delves
into
the
incorporation
of
cutting-edge
wearable
technologies
as
a
proactive
measure
tailor
safety
protocols
for
sites.
Focused
on
risk
mitigation
overall
enhancement,
this
investigation
assesses
efficacy
various
advanced
devices.
study
commences
scrutinizing
role
intelligent
helmets
equipped
with
augmented
reality
(AR)
technology.
These
furnish
real-time
data
about
site,
delivering
critical
information
workers,
including
potential
hazards,
emergency
exits,
equipment
statuses.
integration
AR
heightens
situational
awareness,
empowering
workers
make
well-informed
decisions
respond
promptly
changing
conditions.
Beyond
smart
helmets,
explores
implementation
sensors
designed
monitor
physiological
parameters
workers.
Capable
measuring
vital
signs
such
heart
rate,
body
temperature,
fatigue
levels,
these
enable
continuous
assessment
health.
generated
can
be
analyzed
identify
patterns
trends,
facilitating
preventive
measures
address
health-related
risks.
Additionally,
adoption
exoskeletons
devices
enhance
human
capabilities
diminish
musculoskeletal
injuries.
provide
ergonomic
support,
particularly
during
tasks
involving
heavy
lifting
or
repetitive
motions.
By
assisting
in
maintaining
proper
posture
reducing
physical
strain,
contribute
long-term
injury
prevention
improved
well-being.
Integration
artificial
intelligence
(AI)
algorithms
enhances
sensors,
providing
nuanced
understanding
individual
health
personalized
recommendations.
presents
multifaceted
approach
safety,
addressing
both
environmental
factors.
As
industry
continues
evolve,
holds
not
only
outcomes
but
also
redefine
future
work
hazardous
environments.
European Journal of Education,
Journal Year:
2025,
Volume and Issue:
60(2)
Published: March 23, 2025
ABSTRACT
As
Artificial
Intelligence
(
AI
)
increasingly
becomes
integral
to
educational
development,
understanding
how
future
educators
perceive
Education
AIEd
is
crucial
for
the
effective
implementation
of
in
school
curricula
embed
technologies
throughout
age
ranges
kindergarten
grade
12
(K‐12).
The
present
study
employed
elicited
metaphor
analysis
EMA
),
an
innovative
qualitative
method
that
elicits
participants'
conceptualisations
through
metaphors,
examine
perspectives
pre‐service
teachers
China
towards
K‐12.
We
analysed
a
database
463
metaphors
with
entailments,
obtained
via
online
questionnaire
returned
by
265
three
Normal
Universities
China.
Seven
major
conceptual
themes
were
identified:
‘Guidance’,
‘Growth’,
‘Resources’,
‘Discovery’,
‘Opportunity’,
‘Challenge’
and
has
‘Dual
Nature’
exerting
both
positive
negative
influences
on
education.
Sentiment
revealed
teachers'
overall
attitudes
as
(62%),
(12%)
ambiguous
or
neutral
(26%).
It
was
also
found
among
background
factors,
attitudinal
differences
identified
between
those
who
have
received
exposure
classrooms
not.
These
seem
indicative
cohort
educators'
opinions
regarding
findings
could
inform
teacher
training
policymaking,
highlighting
clear
policies
are
needed
regulate
use
classrooms,
education
should
be
progressively
integrated
into
K‐12
curricula,
existing
expertise
acknowledged
earlier
their
training,
they
mediators
professional
colleagues.
Advances in educational technologies and instructional design book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 29 - 64
Published: Feb. 14, 2025
Education
is
utilizing
generative
artificial
intelligence
more
and
more,
especially
with
models
like
GPT,
BERT,
other
neural
networks.
Through
the
automatic
generation
of
information,
individualized
learning
resources,
responses
to
student
inquiries,
these
technologies
are
transforming
traditional
teaching
methods,
course
design,
interactions
learners.
Despite
fact
that
tools
have
potential
drastically
change
nature
education,
it
crucial
comprehend
their
existing
uses,
advantages,
drawbacks.
The
purpose
this
chapter
present
a
thorough
analysis
current
scholarly
research
on
application
AI
in
education
across
all
academic
levels.
Artificial
Intelligence,
renowned
for
its
data
interpretation,
learning,
and
task
achievement
capabilities,
has
gained
popularity
in
various
industries
academies
due
to
enhanced
efficiency
quality.
This
study
aims
determine
the
extent
of
AI
usage
among
students,
including
functionality,
availability,
complexity,
assessment
scores,
course
mastery,
grading
metrics.
It
also
seeks
if
a
relationship
exists
between
their
academic
performance.
The
employs
quantitative
approach
using
correlational
design.
respondents
are
293
Business
Administration
students
from
Negros
Oriental
State
University
Main
Campus
1,
Dumaguete
City.
study's
findings
suggest
that
is
moderately
prevalent
terms
complexity.
However,
students'
performance
was
found
be
above-average,
with
high
scores
on
assessments,
excellent
grades.
There
no
significant
use
found.
In
conclusion,
tools
offer
personalized
learning
experiences,
immediate
feedback,
collaborative
activities,
but
further
growth
improvement
needed,
training,
accessibility,
research,
monitoring,
best
practices
sharing.
STEM Education,
Journal Year:
2024,
Volume and Issue:
4(3), P. 165 - 182
Published: Jan. 1, 2024
<abstract>
<p>With
the
advent
of
large
language
models
like
ChatGPT,
there
is
interest
in
leveraging
these
tools
as
teaching
assistants
higher
education.
However,
important
questions
remain
regarding
effectiveness
and
appropriateness
AI
systems
educational
settings.
This
study
evaluated
ChatGPT's
potential
a
assistant
for
an
introductory
programming
course.
We
conducted
experimental
where
ChatGPT
was
prompted
response
to
common
student
misconceptions
from
first-year
over
period
2
weeks
with
20
undergraduate
students
5
faculty
members
department
computer
science.
responses
were
along
several
dimensions—accuracy,
completeness,
pedagogical
soundness,
ability
resolve
confusion
by
five
course
faculties
through
survey.
Additionally,
another
survey
administered
assess
their
perception
usefulness
after
interacting
tool.
The
findings
suggested
that
while
demonstrated
strengths
explaining
concepts
accurately
completely,
it
showed
weaknesses
resolving
complex
confusion,
adapting
individual
needs,
providing
tailored
debugging
assistance.
highlighted
key
areas
needing
improvement
provided
basis
develop
responsible
integration
strategies
harness
enrich
rather
than
replace
human
instruction
technical
courses.
results,
based
on
limited
sample
size
duration,
indicated
has
supplemental
aid
core
concepts,
but
also
may
be
particularly
valuable,
such
advanced
support.
Further
research
larger
samples
longer
periods
needed
generalizability
findings.</p>
</abstract>
Communication Education,
Journal Year:
2024,
Volume and Issue:
73(4), P. 388 - 404
Published: Oct. 1, 2024
Although
artificial
intelligence
(AI)
tools
(e.g.,
ChatGPT)
have
potential
to
act
as
a
transformative
educational
tool,
the
widespread
adoption
of
such
technology
also
brings
forth
concerns
related
academic
integrity
and
learning
gaps.
This
study
examines
whether
class
discussions
on
negative
aspects
AI-driven
writing
assistance
any
impact
mitigating
reliance
technology.
To
address
inquiry,
data
were
collected
from
undergraduate
students
in
U.S.
Findings
indicate
that
these
lead
more
critical
evaluation
ChatGPT's
usefulness
favorability
toward
it,
resulting
weaker
intentions
use
it.
The
underscores
importance
offers
insights
into
how
instructors
educators
can
navigate
about
effects
AI-powered
education
while
leveraging
benefits
International Journal of Asian Business and Management,
Journal Year:
2024,
Volume and Issue:
3(1), P. 27 - 48
Published: Feb. 28, 2024
Abstract
–
Artificial
Intelligence,
renowned
for
its
data
interpretation,
learning,
and
task
achievement
capabilities,
has
gained
popularity
in
various
industries
academies
due
to
enhanced
efficiency
quality.
This
study
aims
determine
the
extent
of
AI
usage
among
students,
including
functionality,
availability,
complexity,
assessment
scores,
course
mastery,
grading
metrics.
It
also
seeks
if
a
relationship
exists
between
their
academic
performance.
The
employs
quantitative
approach
using
correlational
design.
respondents
are
293
Business
Administration
students
from
Negros
Oriental
State
University
Main
Campus
1,
Dumaguete
City.
study's
findings
suggest
that
is
moderately
prevalent
terms
complexity.
However,
students'
performance
was
found
be
above-average,
with
high
scores
on
assessments,
excellent
grades.
There
no
significant
use
found.
In
conclusion,
tools
offer
personalized
learning
experiences,
immediate
feedback,
collaborative
activities,
but
further
growth
improvement
needed,
training,
accessibility,
research,
monitoring,
best
practices
sharing
