Journal of Baltic Science Education,
Journal Year:
2024,
Volume and Issue:
23(6), P. 1178 - 1192
Published: Dec. 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
European Journal of Physics,
Journal Year:
2023,
Volume and Issue:
45(2), P. 025701 - 025701
Published: Dec. 11, 2023
Abstract
The
paper
aims
to
fulfil
three
main
functions:
(1)
serve
as
an
introduction
for
the
physics
education
community
functioning
of
large
language
models
(LLMs),
(2)
present
a
series
illustrative
examples
demonstrating
how
prompt-engineering
techniques
can
impact
LLMs
performance
on
conceptual
tasks
and
(3)
discuss
potential
implications
understanding
prompt
engineering
teaching
learning.
We
first
summarise
existing
research
popular
LLM-based
chatbot
(ChatGPT)
tasks.
then
give
basic
account
work,
illustrate
essential
features
their
functioning,
strengths
limitations.
Equipped
with
this
knowledge,
we
some
challenges
generating
useful
output
ChatGPT-4
in
context
introductory
physics,
paying
special
attention
questions
problems.
provide
condensed
overview
relevant
literature
demonstrate
through
selected
be
employed
improve
’s
Qualitatively
studying
these
provides
additional
insights
into
ChatGPT’s
its
utility
problem-solving.
Finally,
consider
from
inform
use
learning
physics.
Electronics,
Journal Year:
2025,
Volume and Issue:
14(1), P. 194 - 194
Published: Jan. 5, 2025
Self-regulated
learning
(SRL)
is
a
sustainable
development
skill
that
involves
learners
actively
monitoring
and
adjusting
their
processes,
which
essential
for
lifelong
learning.
Learning
feedback
plays
crucial
role
in
SRL
by
aiding
self-observation
self-judgment.
In
this
context,
large
language
models
(LLMs),
with
ability
to
use
human
continuously
interact
learners,
not
only
provide
personalized
but
also
offer
data-driven
approach
education.
By
leveraging
real-time
data,
LLMs
have
the
potential
deliver
more
effective
interactive
enhances
both
individual
experiences
scalable,
long-term
educational
strategies.
Therefore,
study
utilized
quasi-experimental
design
examine
effects
of
LLM-based
on
learners’
SRL,
aiming
explore
how
application
could
support
computer
programming
The
findings
indicate
significantly
improves
providing
tailored,
motivation
metacognitive
Additionally,
receiving
demonstrated
better
academic
performance,
suggesting
these
can
effectively
However,
acknowledges
limitations,
including
short
experimental
period
initial
unfamiliarity
LLM
tools,
may
influenced
results.
Future
research
should
focus
refining
integration,
exploring
impact
different
types,
extending
tools
other
contexts.
Large
language
models
have
made
great
advances
in
the
past
years,
creating
compelling
responses
to
extended
verbal
inputs.
After
release
of
ChatGPT
3.5,
researchers
identified
several
opportunities
and
challenges
large
various
fields
education.
However,
at
that
point,
it
was
unforeseeable
how
fast
a
multitude
technological
would
erupt
dynamically
educational
research
change,
undoubtedly
facing
increasing
number
related
models.
Now,
can
be
used
as
middleware
connecting
AI
tools
other
solve
complex
tasks.
This
led
development
so-called
multimodal
foundation
models,
such
ChatGPT-4-Turbo
Gemini,
do
not
only
interact
via
written
text
with
user,
but
power
process
spoken
text,
music,
images
videos.
These
open
up
vast
new
territories
come
unexpected
challenges.
In
this
overview,
we
outline
explain
set
education
arise
from
for
learners,
teachers,
developers
additionally
conventional
Cogent Education,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: July 22, 2024
This
article,
drawing
on
essays
written
by
students
with
the
assistance
of
ChatGPT
and
interviews
some
who
used
this
learning
machine,
highlights
a
shift
in
educational
landscape
brought
about
technology.
In
broader
terms,
Palestinian
universities
follow
traditional
methods
teaching
based
memorization
rote
learning.
These
conventional
strategies
are
stark
contrast
to
manner
which
engage
topics
when
utilizing
ChatGPT.
However,
use
has
led
noticeable
declining
participation
classes,
increased
absences,
diminished
enthusiasm
for
examinations—a
departure
from
value
they
previously
placed
them.
patterns
suggest
that
introduction
is
shaping
paradigm
education,
leading
us
question
reevaluate
efficacy
relevance
today's
digitized
world
importance
different
means
evaluation
rather
than
essay
writing.
AI,
Journal Year:
2024,
Volume and Issue:
5(3), P. 1357 - 1376
Published: Aug. 5, 2024
Recent
advancements
in
artificial
intelligence
(AI)
technologies,
particularly
generative
pre-trained
transformer
large
language
models,
have
significantly
enhanced
the
capabilities
of
text-generative
AI
tools—a
development
that
opens
new
avenues
for
human–AI
collaboration
across
various
domains.
However,
dynamics
human
interaction
with
AI-based
chatbots,
such
as
ChatGPT,
remain
largely
unexplored.
We
observed
and
analyzed
how
people
interact
ChatGPT
a
collaborative
writing
setting
to
address
this
research
gap.
A
total
135
participants
took
part
exploratory
lab
study,
which
consisted
engaging
compose
text
discussing
prohibition
alcohol
public
relation
given
statement
on
risky
consumption.
During
task,
all
screen
activity
was
logged.
In
addition
further
insights
user
behavior
experience
were
gained
by
applying
questionnaires
conducting
an
additional
short
interview
randomly
selected
subset
18
participants.
Our
results
reveal
high
satisfaction
regarding
quality
aspects,
mainly
cognitive
rather
than
affect-based
trust
ChatGPT’s
responses,
higher
ratings
perceived
competence
warmth.
Compared
other
types
prompts,
mostly
content-related
prompts
data,
facts,
information
sent
ChatGPT.
Mixed-method
analysis
showed
affinity
technology
integration
current
use
positively
associated
frequency
complete
requests.
Moreover,
texts
more
copy–paste
behavior.
These
first
into
co-writing
can
inform
future
successful
be
designed.
npj Science of Learning,
Journal Year:
2025,
Volume and Issue:
10(1)
Published: Feb. 25, 2025
Abstract
Recently,
the
option
to
use
large
language
models
as
a
middleware
connecting
various
AI
tools
and
other
led
development
of
so-called
multimodal
foundation
models,
which
have
power
process
spoken
text,
music,
images
videos.
In
this
overview,
we
explain
new
set
opportunities
challenges
that
arise
from
integration
in
education.
