Journal of Baltic Science Education,
Год журнала:
2024,
Номер
23(6), С. 1178 - 1192
Опубликована: Дек. 25, 2024
The
role
of
ChatGPT
and
higher-order
thinking
skills
(HOTS)
as
predictors
physics
inquiry
among
upper-secondary
students
has
yet
to
be
widely
explored.
Therefore,
this
research
aimed
examine
students'
in
(convenience
quality
(CQ),
motivation
engagement
(ME),
accuracy
trust
(AT))
HOTS
inquiry.
Data
were
collected
from
334
Indonesia
through
online
questionnaires
analyzed
with
SPSS
software
using
correlation
multiple
linear
regression.
results
showed
that
CQ
had
the
strongest
HOTS,
significant
being
response
speed,
concept
linkage,
explanation
quality.
ME
dimension
was
also
significantly
correlated
increased
learn
enjoyment
learning
key
predictors.
Lastly,
AT
where
information
it
essential
These
findings
indicate
potential
enhance
inquiry-based
by
effectively
supporting
development
HOTS.
Keywords:
inquiry,
ChatGPT,
skills,
correlation,
regression,
AI
education
Journal of Educational Computing Research,
Год журнала:
2024,
Номер
62(8), С. 2157 - 2186
Опубликована: Окт. 8, 2024
The
core
purpose
of
integrating
inquiry-based
learning
strategies
into
STEM
activities
is
to
create
a
challenging
environment
that
stimulates
students’
active
learning,
thereby
effectively
enhancing
their
interest
in
thinking
skills,
and
practical
application
abilities.
To
achieve
these
goals,
developing
more
technology-assisted
tools
platforms
improve
teaching
efficiency
enrich
the
experience
becomes
crucial.
Therefore,
this
research
developed
InquiryGPT,
which
guides
students
through
POEE
inquiry
process
by
imposing
limitations,
facilitating
dialogue,
providing
feedback,
while
avoiding
over-reliance
on
ChatGPT.
This
promotes
cultivation
higher-order
skills
interactions
with
knowledge
construction
understanding.
study,
based
Technology
Acceptance
Model
(TAM),
examined
effectiveness
InquiryGPT.
results
showed
no
significant
difference
between
InquiryGPT
ChatGPT
terms
perceived
usefulness
ease
use.
Additionally,
analysis
covariance
(ANCOVA),
study
further
analyzed
impact
scores,
proving
it
significantly
enhances
creativity,
problem-solving
abilities,
critical
thinking,
construction.
Journal of Computer Assisted Learning,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 23, 2024
Abstract
Background
Science,
Technology,
Engineering,
and
Mathematics
(STEM)
education
in
Asian
universities
struggles
to
integrate
Knowledge,
Skills,
Attitudes
(KSA)
due
large
classes
student
reluctance.
While
ChatGPT
offers
solutions,
its
conventional
use
may
hinder
independent
critical
thinking.
Objectives
This
study
introduces
PA‐GPT,
using
as
a
“virtual
peer”
peer
assessments
promote
active
learning
enhance
knowledge,
higher‐order
thinking
skills
(HOTS),
attitudes—the
core
of
KSA
STEM.
Methods
A
randomised
controlled
trial
involved
61
first‐year
engineering
students
(43
males,
18
females)
from
university
Southern
Taiwan
enrolled
“Network
Embedded
Systems
Applications.”
Participants,
all
with
prior
experience
but
no
programming
background,
were
purposively
sampled.
They
randomly
assigned
the
experimental
group
(
n
=
31)
PA‐GPT
or
control
30)
traditional
ChatGPT.
Over
8
weeks,
data
collected
pre‐
post‐tests:
knowledge
construction
test
(20
items,
α
0.85);
HOTS
scale
0.78–0.83)
measuring
thinking,
problem‐solving,
creativity;
S‐STEM
questionnaire
>0.80)
assessing
attitudes
towards
STEM
subjects
21st‐century
learning.
ANCOVA
analysed
data,
controlling
for
pre‐test
scores,
Levene's
checked
homogeneity
variances.
Results
Conclusions
results
showed
that
significantly
outperformed
enhancing
F
9.89,
p
0.002),
37.00,
<
0.001),
problem‐solving
9.40,
0.003),
creativity
(F
7.22,
0.009),
mathematics
25.52,
engineering/technology
16.06,
26.38,
0.001).
These
findings
demonstrate
effectively
addresses
challenges
engagement
development
by
simulating
interactions.
Peer
Assessment
(PA‐GPT)
promotes
self‐reflection,
potentially
revolutionising
AI‐assisted
class
settings.
provides
pioneering
evidence
effectiveness
AI‐driven
assessment
comprehensive
competencies,
offering
promising
direction
future
educational
technology
integration.
Journal of Baltic Science Education,
Год журнала:
2024,
Номер
23(6), С. 1178 - 1192
Опубликована: Дек. 25, 2024
The
role
of
ChatGPT
and
higher-order
thinking
skills
(HOTS)
as
predictors
physics
inquiry
among
upper-secondary
students
has
yet
to
be
widely
explored.
Therefore,
this
research
aimed
examine
students'
in
(convenience
quality
(CQ),
motivation
engagement
(ME),
accuracy
trust
(AT))
HOTS
inquiry.
Data
were
collected
from
334
Indonesia
through
online
questionnaires
analyzed
with
SPSS
software
using
correlation
multiple
linear
regression.
results
showed
that
CQ
had
the
strongest
HOTS,
significant
being
response
speed,
concept
linkage,
explanation
quality.
ME
dimension
was
also
significantly
correlated
increased
learn
enjoyment
learning
key
predictors.
Lastly,
AT
where
information
it
essential
These
findings
indicate
potential
enhance
inquiry-based
by
effectively
supporting
development
HOTS.
Keywords:
inquiry,
ChatGPT,
skills,
correlation,
regression,
AI
education
