Kuramsal Eğitimbilim,
Journal Year:
2025,
Volume and Issue:
18(1), P. 157 - 181
Published: Jan. 29, 2025
As
artificial
intelligence
(AI)
increasingly
influences
education,
understanding
learners'
experiences,
engagement
and
literacy
of
these
tools
is
critical.
This
study
explores
AI
among
Turkish
EFL
(English
as
a
Foreign
Language)
students
regarding
their
familiarity,
knowledge,
ethical
perceptions
technologies
in
academic
writing.
Using
descriptive
exploratory
approach,
the
surveyed
427
from
two
universities.
Findings
reveal
moderate
level
familiarity
usage
participants,
with
significant
reliance
on
for
translation
grammar
proofreading.
Despite
recognizing
AI's
potential
to
enhance
writing,
exhibited
limited
technical
proficiency
underlying
mechanisms,
highlighting
need
targeted
structured
education
The
findings
contribute
ongoing
discourse
integration
offering
insights
policymakers,
educators,
researchers
better
prepare
an
AI-driven
environment.
Education and Information Technologies,
Journal Year:
2024,
Volume and Issue:
29(15), P. 19343 - 19366
Published: March 19, 2024
Abstract
ChatGPT,
an
artificial
intelligence
application,
has
emerged
as
a
promising
educational
tool
with
wide
range
of
applications,
attracting
the
attention
researchers
and
educators.
This
qualitative
case
study,
chosen
for
its
ability
to
provide
in-depth
exploration
nuanced
effects
AI
on
foreign
language
learning
process
within
real-world
context,
aimed
utilize
ChatGPT
in
education,
addressing
gap
existing
research
by
offering
insights
into
potential,
benefits,
drawbacks
this
innovative
approach.
The
study
involved
13
preparatory
class
students
studying
at
School
Foreign
Languages
university
Turkey.
were
introduced
through
experiences
over
span
four
weeks
researcher
teacher.
data
collected
from
interviews
analysed
using
thematic
analysis.
findings
suggest
that
positively
affects
students’
experiences,
especially
writing,
grammar,
vocabulary
acquisition,
enhances
motivation
engagement
versatile
accessible
nature
various
activities.
These
contribute
understanding
utility
constraints
employing
technology
instruction
can
inform
educators
developing
effective
teaching
strategies
designing
curricula.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(8), P. e29317 - e29317
Published: April 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
Electronics,
Journal Year:
2024,
Volume and Issue:
13(18), P. 3762 - 3762
Published: Sept. 22, 2024
This
paper
reviews
the
literature
on
integrating
AI
in
e-learning,
from
viewpoint
of
cognitive
neuropsychology,
for
Personalized
Learning
(PL)
and
Adaptive
Assessment
(AA).
review
follows
PRISMA
systematic
methodology
synthesizes
results
85
studies
that
were
selected
an
initial
pool
818
records
across
several
databases.
The
indicate
can
improve
students’
performance,
engagement,
motivation;
at
same
time,
some
challenges
like
bias
discrimination
should
be
noted.
covers
historic
development
education,
its
theoretical
grounding,
practical
applications
within
PL
AA
with
high
promise
ethical
issues
AI-powered
educational
systems.
Future
directions
are
empirical
validation
effectiveness
equity,
algorithms
reduce
bias,
exploration
implications
regarding
data
privacy.
identifies
transformative
potential
developing
personalized
adaptive
learning
(AL)
environments,
thus,
it
advocates
continued
as
a
means
to
outcomes.
Education and Information Technologies,
Journal Year:
2024,
Volume and Issue:
29(15), P. 19471 - 19503
Published: March 20, 2024
Abstract
The
advancement
of
information
technologies
has
led
to
increased
attention
AI
chatbots
as
valuable
tools
for
computer-assisted
language
learning
(CALL),
drawing
the
both
academic
scholars
and
industry
practitioners.
However,
there
remains
limited
understanding
regarding
adoption
chatbots,
specifically
within
context
English
language.
To
address
this
existing
research
gap
examine
perception
motivation
usage
ChatGPT,
employed
hedonic
system
model
(HMSAM)
ChatGPT.
Employing
structural
equation
modelling
(SEM),
a
comprehensive
investigation
was
conducted
using
data
sourced
from
189
valid
responses
obtained
through
an
online
survey
administered
Chinese
international
students
who
are
currently
enrolled
in
British
universities.
findings
reveal
that
effectively
elucidates
elements
influencing
ChatGPT
learning.
Notably,
boredom,
joy,
focused
immersion,
control
emerged
significant
mediating
factors
pertaining
link
between
perceived
ease
use
behavioural
intention.
These
offer
meaningful
perspectives
upcoming
researchers
practitioners
teaching
learning,
contributing
promoting
innovation
domain.
Journal of Educational Computing Research,
Journal Year:
2024,
Volume and Issue:
62(6), P. 1509 - 1537
Published: April 17, 2024
The
field
of
computer-assisted
language
learning
has
recently
brought
about
a
notable
change
in
English
as
Foreign
Language
(EFL)
writing.
Starting
from
October
2022,
students
across
different
academic
fields
have
increasingly
depended
on
ChatGPT-4
helpful
resource
for
addressing
particular
challenges
EFL
This
study
aimed
to
investigate
the
use
and
acceptance
students’
To
this
end,
an
experiment
was
conducted
with
76
undergraduate
private
school
Algeria.
participants
were
randomly
allocated
into
two
groups:
experimental
group
(n
=
37)
control
39).
Additionally,
questionnaire
administered.
results
showed
that
(EG)
outperformed
(CG).
Besides,
findings
revealed
EG
post-test
their
pre-test
scores.
also
substantial
improvements
EG’s
views
perceived
usefulness,
ease
use,
attitudes,
behavioral
intention.
According
results,
helped
boost
students'
writing
skills,
which
ultimately
led
acceptance.
Students
appear
particularly
interested
because
its
potential
usefulness
putting
what
they
learn
practice.
Some
suggestions
recommendations
provided.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(11), P. e32220 - e32220
Published: May 31, 2024
This
study
investigates
the
determinants
of
ChatGPT
adoption
among
university
students
and
its
impact
on
learning
satisfaction.
Utilizing
Technology
Acceptance
Model
(TAM)
incorporating
insights
from
interaction
learning,
collaborative
information
quality,
a
structural
equation
modeling
approach
was
employed.
research
collected
valuable
responses
262
at
King
Faisal
University
in
Saudi
Arabia
through
use
self-report
questionnaires.
The
data's
reliability
validity
were
assessed
using
confirmation
factor
analysis,
followed
by
path
analysis
to
explore
hypotheses
proposed
model.
results
indicate
pivotal
roles
fostering
adoption.
Social
played
significant
role,
as
researchers
engaging
conversations
knowledge-sharing
expressed
increased
comfort
with
ChatGPT.
Information
quality
found
substantially
influence
researchers'
decisions
continue
ChatGPT,
emphasizing
need
for
ongoing
improvement
accuracy
relevance
content
provided.
Perceived
ease
perceived
usefulness
intermediary
linking
engagement
User-friendly
interfaces
utility
identified
crucial
factors
affecting
overall
satisfaction
levels.
Notably,
positively
impacted
motivation,
indicating
potential
enhance
student
interest
learning.
study's
findings
have
implications
educational
practitioners
seeking
improve
implementation
AI
technologies
students,
user-friendly
design,
influencing
concludes
into
complex
interplay
between
AI-powered
tools,
objectives,
highlighting
continued
comprehensively
understand
these
dynamics.
