Language learners’ surface, deep, and organizing approaches to ChatGPT-assisted language learning: What contextual, individual, and ChatGPT-related factors contribute?
Smart Learning Environments,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: Feb. 6, 2025
Abstract
Researchers
have
significantly
explored
language
learners'
attitudes
toward
ChatGPT
through
the
lens
of
technology
acceptance
models,
particularly
with
its
development
and
integration
into
computer-assisted
learning
(CALL).
However,
further
research
in
this
area
is
necessary
to
apply
a
theoretical
framework
pedagogical-oriented
perspective.
Therefore,
study,
researchers
utilized
students'
approaches
environment
(SAL)
extended
it
by
incorporating
multilevel
perspective
that
encompasses
contextual,
individual,
ChatGPT-related
factors.
Accordingly,
integrated
their
syllabus
guided
learners
three
universities
Ardabil
City
use
during
academic
year
2023–2024.
In
end,
214
participants
answered
study
questionnaire.
The
result
partial
least
squares
modeling
(PLS-SEM),
Importance
performance
map
analysis
(IPMA)
showed
leadership,
where
university
executive
provides
atmosphere
for
norms
integration,
could
shape
learners’
organizing
approach
using
daily
schedule.
Additionally,
personalization
anthropomorphism
were
among
significant
factors
shaped
deep
as
source
meaningful,
cross-referenced
CALL
tool.
low
feedback
reliability,
privacy
concerns,
ChatGPT's
perceived
value
contributed
surface
minimizing
ChaGPT-related
factor.
On
basis
these
findings,
introduces
new
conceptual
artificial
intelligence
(AILL)
suggests
leadership
should
be
promoted
at
macro-contextual
level
might
cover
other
micro-contextual,
personal,
factors,
including
price-value,
personalization,
motivation,
which
are
important
elements
CHAGPTALL.
Language: Английский
Giving Away the Immersive L2 Learning Experiences in GenAI‐Mediated Contexts: The Contributions of Cognitive and Affective Factors
Zhou Guan-qiong
No information about this author
European Journal of Education,
Journal Year:
2025,
Volume and Issue:
60(2)
Published: March 23, 2025
ABSTRACT
Immersive
learning
plays
a
crucial
role
in
effective
second
language
(L2)
acquisition,
but
many
learners
face
limited
opportunities
to
interact
with
native
speakers.
While
existing
research
highlights
the
importance
of
immersion
L2
learning,
there
is
still
gap
understanding
how
Generative
AI
(GenAI)
can
provide
greater
access
such
immersive
environments.
This
study
aims
address
this
by
exploring
factors
influencing
GenAI‐mediated
learning.
Drawing
upon
cognitive‐affective
model
control‐value
theory,
and
technology
acceptance
model,
examined
impact
cognitive
(e.g.,
perceived
ease
use
usefulness)
affective
enjoyment
boredom)
on
immersion,
using
sample
460
Chinese
college
learners.
Structural
equation
modelling
Amos
24
was
applied
analyse
data,
yielding
several
key
findings.
(i)
Perceived
positively
predicted
usefulness
had
no
direct
effect
or
boredom.
(ii)
influenced
while
negatively
affecting
(iii)
Enjoyment
positive
predictor
whereas
boredom
significant
effect.
(iv)
Mediation
analysis
revealed
that
indirectly
through
not
combination
usefulness.
The
concludes
implications
for
practice
suggestions
future
research.
Language: Английский
The Impact of Generative AI on Chinese Poetry Instruction
International Journal of Online Pedagogy and Course Design,
Journal Year:
2025,
Volume and Issue:
15(1), P. 1 - 21
Published: May 7, 2025
This
study
examines
the
potential
of
generative
artificial
intelligence
(AI)
to
enhance
Chinese
poetry
instruction
by
investigating
its
impact
on
students'
learning
interest,
collaborative
perception,
and
writing
abilities.
Through
AI's
text-to-image
image-to-poetry
translation
capabilities,
research
explores
how
AI-generated
visuals
can
deepen
understanding
poetic
imagery
foster
creative
expression
in
writing.
Using
a
mixed-methods
approach,
analyzes
pre-test,
mid-test,
post-test
assessments,
student
surveys,
student-generated
evaluate
effectiveness
this
innovative
pedagogical
approach.
The
findings
contribute
growing
field
educational
technology
humanities
education,
offering
insights
into
AI
support
multimodal
learning,
linguistic
creativity,
enrich
their
sensibilities.
By
integrating
with
traditional
literary
instruction,
provides
foundation
for
further
role
language
arts
education.
Language: Английский
Revolutionizing decision-making: How retailers can harness the potential of avatars in augmented reality to enrich the customer experience?
Cogent Business & Management,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Nov. 29, 2024
The
study
examines
the
impact
of
Augmented
Reality
(AR)
attributes
on
customer
experience
and
purchase
intention
in
retail
industry.
employs
a
theoretical
framework
rooted
Technology
Acceptance
Model
Stimulus-organism-response
Theory,
investigating
influence
AR
leading
to
intentions.
Data
from
306
participants
were
collected
through
an
online
survey,
hypotheses
evaluated
using
Structural
Equation
Modeling.
results
show
that
Perceived
usefulness,
Trust,
Self
Augmentation
within
applications
act
as
stimuli
for
Consumer
Experience
drive
Purchase
Intention.
thus
affirms
positive
characteristics
Customer
Intentions.
implication
signifies
marketers
will
benefit
by
leveraging
create
personalized
shopping
journeys
avatar
interactions,
thereby
improving
experience.
Language: Английский
A Study on the Impact of Digital Marketing Strategies on Consumers’ Purchase Intention - A Case Study of Social Media Advertising
Guangqian Liu,
No information about this author
Yiming Zhu
No information about this author
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
The
advent
of
the
social
media
era
has
catapulted
advertising
industry
into
a
new
phase,
marked
by
decline
in
traditional
and
gradual
dominance
digital
marketing
modes
that
rely
on
platforms.
In
fact,
these
have
become
primary
source
revenue
for
some
This
paper
explores
influence
different
qualities
consumers’
purchase
intentions.
Using
technology
acceptance
model,
theory
planned
behavior,
expectation
confirmation
theory,
other
consumer
psychological
analysis
tools,
latent
variables
perceived
usefulness,
ease
use,
subjective
norms
advertisements
are
established
to
complete
conceptual
model
mechanism
action
as
well
establishment
corresponding
research
hypotheses.
Questionnaires
designed
randomly
selected
users
platforms
samples.
collected
data
from
processed
questionnaires
were
inputted
structural
equation
validation.
model’s
output
confirms
support
all
hypotheses,
with
significance
level
below
0.05.
Among
them,
use
greatest
degree
satisfaction,
satisfaction
largely
depends
how
easy
or
difficult
it
is
advertisements.
Perceived
usefulness
significant
positive
effects
final
intentions,
more
direct
obvious.
study
successfully
reveals
complex
path
between
various
types
perceptions
intention
advertisements,
providing
evidence
optimization
strategies.
Language: Английский
Exploring the Synergy Between Artificial Intelligence and Human Resources: A Qualitative Review of Business Management Literature
Aura Gîrlovan,
No information about this author
Alexandra Horobeţ,
No information about this author
Cosmin-Alin Boţoroga
No information about this author
et al.
Studies in Business and Economics,
Journal Year:
2024,
Volume and Issue:
19(3), P. 115 - 136
Published: Dec. 1, 2024
Abstract
This
paper
portrays
the
role
of
interplay
between
artificial
intelligence
and
human
resources
as
evidenced
by
an
extensive
review
academic
literature.
The
study
investigated
402
abstracts
scholarly
articles
published
in
Business
Management
Accounting
domain
Scopus
database
spanning
from
2000
to
2023.
Using
QDA
Miner
2024,
a
novel
approach
based
on
content,
link,
proximity
analysis
was
employed
conduct
literature
review.
Three
major
findings
were
revealed
our
investigation.
First,
while
codes
such
‘AI’
‘employees’
dominate
discourse,
there
is
evolving
trend
toward
more
sophisticated
analyses
AI-human
interactions,
including
their
impact
business
strategies
performance.
Second,
research
methods
show
significant
diversification
over
time,
going
descriptive
approaches
quantitative
qualitative
methodologies.
Third,
several
areas
appear
lack
focus,
connection
employee
recruitment
future
career
paths
with
AI
progress.
contribute
understanding
how
technological
revolution
shapes
operations,
particularly
workforce
management,
highlighting
need
for
structural
reforms
organizational
adoption,
provide
valuable
insights
both
scholars
practitioners
interested
integration
resource
management.
Language: Английский