Education and Information Technologies,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 13, 2025
Abstract
This
study
introduces
the
"ChatGPT
Usage
Scale
for
Foreign
Language
Learners,"
designed
to
evaluate
usage
of
AI
chatbots
in
language
learning.
The
scale
was
developed
based
on
a
comprehensive
literature
review
and
expert
evaluations,
ensuring
strong
theoretical
foundation
content
validity.
It
comprises
three
sub-dimensions
Usability,
Learning,
Development
that
collectively
explain
62.896%
total
variance,
exceeding
standard
expectations.
Data
were
collected
from
1006
university
students
(657
female,
349
male)
foreign
departments
at
Turkish
state
universities
during
2023–2024
fall
semester.
demonstrated
excellent
internal
consistency
(Cronbach’s
Alpha
=
0.93)
validity,
supported
by
robust
Confirmatory
Factor
Analysis
results.
A
test–retest
analysis
with
subset
participants
confirmed
scale's
reliability
over
time.
Future
research
should
apply
this
measurement
tool
diverse
educational
contexts
enhance
its
generalizability
further
refine
psychometric
properties,
providing
deeper
insights
into
role
tools
education.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Янв. 23, 2024
Abstract
Artificial
intelligence
models,
like
ChatGPT,
have
the
potential
to
revolutionize
higher
education
when
implemented
properly.
This
study
aimed
investigate
factors
influencing
university
students’
attitudes
and
usage
of
ChatGPT
in
Arab
countries.
The
survey
instrument
“TAME-ChatGPT”
was
administered
2240
participants
from
Iraq,
Kuwait,
Egypt,
Lebanon,
Jordan.
Of
those,
46.8%
heard
52.6%
used
it
before
study.
results
indicated
that
a
positive
attitude
were
determined
by
ease
use,
towards
technology,
social
influence,
perceived
usefulness,
behavioral/cognitive
influences,
low
risks,
anxiety.
Confirmatory
factor
analysis
adequacy
constructs.
Multivariate
demonstrated
significantly
influenced
country
residence,
age,
type,
recent
academic
performance.
validated
as
useful
tool
for
assessing
adoption
among
students.
successful
integration
relies
on
elements,
anxiety,
minimal
risks.
Policies
should
be
tailored
individual
contexts,
considering
variations
student
observed
this
Computers & Education,
Год журнала:
2024,
Номер
219, С. 105100 - 105100
Опубликована: Июнь 8, 2024
ChatGPT,
a
state-of-the-art
artificial
intelligence
(AI)
chatbot,
has
gained
considerable
attention
as
transformative
yet
controversial
tool
for
enhancing
teaching
and
learning
experiences.
Several
reviews
numerous
articles
have
been
written
about
harnessing
ChatGPT
in
education
since
its
release
on
November
30,
2022.
Besides
summarising
strengths,
weaknesses,
opportunities,
threats
(SWOT)
identified
previous
systematic
of
research,
this
review
aims
to
develop
new
understanding
influence
student
engagement
by
synthesising
the
existing
related
research
using
three-dimensional
framework
comprising
behavioural,
emotional,
cognitive
aspects.
We
searched
relevant
databases
included
72
empirical
studies
published
within
one
year
ChatGPT's
initial
release.
The
findings
reveal
robust
but
narrowly
focused
evidence
behavioural
(i.e.,
work
with
ChatGPT)
disengagement
academic
dishonesty).
emotional
aspect
is
mixed,
instances
both
(e.g.,
satisfaction
interest/fun)
disappointment
worry/anxiety).
There
broad
weak
regarding
increased
positive
self-perception)
reduced
critical
thinking
overreliance).
Our
uncovers
several
under-explored
indicators
engagement,
pointing
need
further
research.
Specifically,
future
could
focus
students'
study
habits
attendance
(behavioural
engagement),
social
interaction
(emotional
self-regulation
(cognitive
engagement)
ChatGPT-supported
environments.
Heliyon,
Год журнала:
2024,
Номер
10(11), С. e31887 - e31887
Опубликована: Май 25, 2024
AI-powered
chatbots
hold
great
promise
for
enhancing
learning
experiences
and
outcomes
in
today's
rapidly
evolving
education
system.
However,
despite
the
increasing
demand
such
technologies,
there
remains
a
significant
research
gap
regarding
factors
influencing
users'
acceptance
adoption
of
educational
contexts.
This
study
aims
to
address
this
by
investigating
that
shape
attitudes,
intentions,
behaviors
towards
adopting
ChatGPT
smart
systems.
employed
quantitative
approach,
data
were
collected
from
458
participants
through
structured
questionnaire
designed
measure
various
constructs
related
technology
acceptance,
including
perceived
ease
use,
usefulness,
feedback
quality,
assessment
subject
norms,
attitude
behavioral
intention
use
ChatGPT.
Structural
model
analysis
(SEM)
Statistical
techniques
then
utilized
examine
relationships
between
these
constructs.
The
findings
revealed
Perceived
usefulness
emerged
as
predictors
attitudes
education.
Additionally,
norms
found
positively
influence
intentions
purposes.
Moreover,
significantly
proved
actual
few
hypotheses,
relationship
trust
not
supported
data.
contributes
existing
body
information
systems
applications
determining
factor
context.
Heliyon,
Год журнала:
2024,
Номер
10(8), С. e29317 - e29317
Опубликована: Апрель 1, 2024
This
mixed-method
study
explores
the
acceptance
of
ChatGPT
as
a
tool
for
Metacognitive
Self-Regulated
Learning
(MSRL)
among
academics.
Despite
growing
attention
towards
metacognitive
learning
tool,
there
is
need
comprehensive
understanding
factors
influencing
its
in
academic
settings.
Engaging
300
preservice
teachers
through
ChatGPT-based
scenario
activity
and
utilizing
convenience
sampling,
this
administered
questionnaire
based
on
proposed
Technology
Acceptance
Model
at
UTM
University's
School
Education.
Structural
equation
modelling
was
applied
to
analyze
participants'
perspectives
ChatGPT,
considering
like
MSRL's
impact
usage
intention.
Post-reflection
sessions,
semi-structured
interviews,
record
analysis
were
conducted
gather
results.
Findings
indicate
high
significantly
influenced
by
personal
competency,
social
influence,
perceived
AI
usefulness,
enjoyment,
trust,
intelligence,
positive
attitude,
self-regulated
learning.
Interviews
suggest
that
academics
view
positively
an
educational
seeing
it
solution
challenges
teaching
processes.
The
highlights
ChatGPT's
potential
enhance
MSRL
holds
implications
teacher
education
integration
JMIR Medical Education,
Год журнала:
2024,
Номер
10, С. e51247 - e51247
Опубликована: Янв. 5, 2024
Background
The
use
of
artificial
intelligence
(AI)
in
medicine
not
only
directly
impacts
the
medical
profession
but
is
also
increasingly
associated
with
various
potential
ethical
aspects.
In
addition,
expanding
AI
and
AI-based
applications
such
as
ChatGPT
demands
a
corresponding
shift
education
to
adequately
prepare
future
practitioners
for
effective
these
tools
address
challenges
they
present.
Objective
This
study
aims
explore
how
students
from
Germany,
Austria,
Switzerland
perceive
teaching
ethics
accordance
their
chat
applications,
ChatGPT.
Methods
cross-sectional
study,
conducted
June
15
July
15,
2023,
surveyed
across
using
web-based
survey.
aimed
assess
students’
perceptions
integration
into
education.
survey,
which
included
53
items
6
sections,
was
developed
pretested.
Data
analysis
used
descriptive
statistics
(median,
mode,
IQR,
total
number,
percentages)
either
chi-square
or
Mann-Whitney
U
tests,
appropriate.
Results
Surveying
487
revealed
limited
formal
on
within
curricula,
although
38.8%
(189/487)
had
prior
experience
Despite
varied
exposures,
71.7%
(349/487)
anticipated
positive
impact
medicine.
There
widespread
consensus
(385/487,
74.9%)
need
instruction
education,
current
offerings
were
deemed
inadequate.
Regarding
content,
all
proposed
topics
rated
highly
relevant.
Conclusions
pronounced
discrepancy
between
(chat)
ChatGPT,
among
To
professionals,
there
an
urgent
integrate
curricula.
Nurse Education Today,
Год журнала:
2024,
Номер
135, С. 106121 - 106121
Опубликована: Фев. 6, 2024
To
examine
and
consolidate
literature
regarding
the
advantages
disadvantages
of
utilizing
ChatGPT
in
healthcare
education
research.
We
searched
seven
electronic
databases
(PubMed/Medline,
CINAHL,
Embase,
PsycINFO,
Scopus,
ProQuest
Dissertations
Theses
Global,
Web
Science)
from
November
2022
until
September
2023.
This
scoping
review
adhered
to
Arksey
O'Malley's
framework
followed
reporting
guidelines
outlined
PRISMA-ScR
checklist.
For
analysis,
we
employed
Thomas
Harden's
thematic
synthesis
framework.
A
total
100
studies
were
included.
An
overarching
theme,
"Forging
Future:
Bridging
Theory
Integration
ChatGPT"
emerged,
accompanied
by
two
main
themes
(1)
Enhancing
Healthcare
Education,
Research,
Writing
with
ChatGPT,
(2)
Controversies
Concerns
about
Education
Research
Writing,
subthemes.
Our
underscores
importance
acknowledging
legitimate
concerns
related
potential
misuse
such
as
'ChatGPT
hallucinations',
its
limited
understanding
specialized
knowledge,
impact
on
teaching
methods
assessments,
confidentiality
security
risks,
controversial
practice
crediting
it
a
co-author
scientific
papers,
among
other
considerations.
Furthermore,
our
also
recognizes
urgency
establishing
timely
regulations,
along
active
engagement
relevant
stakeholders,
ensure
responsible
safe
implementation
ChatGPT's
capabilities.
advocate
for
use
cross-verification
techniques
enhance
precision
reliability
generated
content,
adaptation
higher
curricula
incorporate
potential,
educators'
need
familiarize
themselves
technology
improve
their
literacy
approaches,
development
innovative
detect
usage.
data
protection
measures
should
be
prioritized
when
employing
transparent
becomes
crucial
integrating
into
academic
writing.
Postgraduate Medical Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 16, 2024
Abstract
ChatGPT’s
role
in
creating
multiple-choice
questions
(MCQs)
is
growing
but
the
validity
of
these
artificial-intelligence-generated
unclear.
This
literature
review
was
conducted
to
address
urgent
need
for
understanding
application
ChatGPT
generating
MCQs
medical
education.
Following
database
search
and
screening
1920
studies,
we
found
23
relevant
studies.
We
extracted
prompts
MCQ
generation
assessed
evidence
MCQs.
The
findings
showed
that
varied,
including
referencing
specific
exam
styles
adopting
personas,
which
align
with
recommended
prompt
engineering
tactics.
covered
various
domains,
showing
mixed
accuracy
rates,
some
studies
indicating
comparable
quality
human-written
questions,
others
highlighting
differences
difficulty
discrimination
levels,
alongside
a
significant
reduction
question
creation
time.
Despite
its
efficiency,
highlight
necessity
careful
suggest
further
research
optimize
use
generation.
Main
messages
Ensure
high-quality
outputs
by
utilizing
well-designed
prompts;
educators
should
prioritize
detailed,
clear
when
Avoid
using
ChatGPT-generated
directly
examinations
without
thorough
prevent
inaccuracies
ensure
relevance.
Leverage
potential
streamline
test
development
process,
enhancing
efficiency
compromising
quality.
Systems,
Год журнала:
2024,
Номер
12(3), С. 103 - 103
Опубликована: Март 18, 2024
Technologies,
such
as
Chat
Generative
Pre-Trained
Transformer
(ChatGPT),
are
prime
examples
of
Artificial
Intelligence
(AI),
which
is
a
constantly
evolving
area.
SMEs,
particularly
startups,
can
obtain
competitive
edge,
innovate
their
business
models,
gain
value,
and
undergo
digital
transformation
by
implementing
these
technologies.
Continuous
but
gradual
experimentation
with
technologies
the
foundation
for
adoption.
The
experience
that
comes
from
trying
new
help
entrepreneurs
adopt
more
strategically
experiment
them.
urgent
need
an
in-depth
investigation
highlighted
paucity
previous
research
on
ChatGPT
uptake
in
startup
context,
entrepreneurial
perspective.
objective
this
study
to
empirically
validate
AI
technology
adoption
model
establish
direction
strength
correlations
among
factors
perspectives
entrepreneurs.
data
collected
482
who
exhibit
great
diversity
genders,
countries
startups
located,
industries
serve,
age,
educational
levels,
work
entrepreneurs,
length
time
have
been
market.
Collected
analyzed
using
Partial
Least
Squares
Structural
Equation
Modeling
(PLS-SEM)
technique,
results
statistical
examination
relationships
between
model’s
factors.
indicate
social
influence,
domain
experience,
familiarity,
system
quality,
training
support,
interaction
convenience,
anthropomorphism
impact
pre-perception
perception
phase
These
motivate
technology,
thereby
building
perceptions
its
usefulness,
perceived
ease
use,
enjoyment,
three
turn
affect
emotions
toward
and,
finally,
switching
intentions.
Control
variables
like
gender,
attainment
no
appreciable
effect
intentions
alternatives
technology.
Rather,
factor
running
businesses
shows
itself
be
crucial
one.
practical
implications
other
innovation
ecosystem
actors,
including,
instance,
providers,
libraries,
policymakers.
This
enriches
acceptance
theory
extends
existing
literature
introducing
stages
specific
entrepreneurship.
Background:
The
impact
of
generative
artificial
intelligence-based
Chatbots
on
medical
education,
particularly
in
Southeast
Asia,
is
understudied
regarding
healthcare
students'
perceptions
its
academic
utility.
Sociodemographic
profiles
and
educational
strategies
influence
prospective
practitioners'
attitudes
toward
AI
tools.
Aim
objectives:
This
study
aimed
to
assess
university
knowledge,
attitude,
practice
ChatGPT
for
purposes.
It
explored
chatbot
usage
frequency,
purposes,
satisfaction
levels,
associations
between
age,
gender,
variables.
Methodology:
Four
hundred
forty-three
undergraduate
students
at
a
Malaysian
tertiary
institute
participated,
revealing
varying
awareness
levels
ChatGPT's
Despite
concerns
about
accuracy,
ethics,
dependency,
participants
generally
held
positive
academics.
Results:
Multiple
logistic
regression
highlighted
demographics,
use.
MBBS
were
significantly
more
likely
use
academics
than
BDS
FIS
students.
Final-year
exhibited
the
highest
likelihood
Higher
knowledge
correlated
with
increased
usage.
Most
users
(45.8%)
employed
aid
specific
assignment
sections
while
completing
most
work
independently.
Some
did
not
it
(41.1%),
others
heavily
relied
(9.3%).
Users
also
various
from
generating
questions
understanding
concepts.
Thematic
analysis
responses
showed
data
plagiarism,
ethical
issues,
dependency
tasks.
Conclusion:
aids
creating
guidelines
implementing
GAI
chatbots
emphasizing
benefits,
risks,
informing
developers
educators
potential
academia.
Marketing Education Review,
Год журнала:
2024,
Номер
34(3), С. 201 - 234
Опубликована: Янв. 2, 2024
The
rapid
proliferation
of
the
Internet
has
sparked
a
resurgence
attention
toward
function
novel
artificial
intelligence
technologies
in
higher
education.
effective
adoption
recent
advancements
human-computer
interaction
is
crucial
for
inclusive
education
and
innovation,
resulting
sustainable
socioeconomic
growth
development.
Therefore,
present
investigation
focuses
to
examine
various
factors
that
exert
an
influence
on
acceptance
use
ChatGPT
by
marketing
students.
research's
significance
lies
integrating
concept
system
flexibility
into
Unified
Theory
Acceptance
Use
Technology
(UTAUT)
model.
An
adapted
questionnaire
was
administered
gather
information,
statistical
procedures
were
conducted
309
valid
responses.
study's
results
revealed
habit
most
significant
predictor
behavioral
intention,
with
performance
expectancy
effort
following
closely
behind.
However,
research
shows
perceived
risk
not
vital
factor
students,
as
they
exhibit
heightened
sense
control
regulating
their
online
behavior.
Besides,
implications
presented
this
study
hold
great
policymakers,
educators,
top-level
management
personnel
within
institutions
evaluate
update
existing
policies
accommodate
integration
AI
tools
like