How AI‐Enhanced Social–Emotional Learning Framework Transforms EFL Students' Engagement and Emotional Well‐Being
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Янв. 12, 2025
ABSTRACT
This
study
explores
the
transformative
role
of
AI‐enhanced
social–emotional
learning
(SEL)
frameworks
in
improving
engagement
and
emotional
well‐being
English
as
a
foreign
language
(EFL)
students
China.
A
survey
was
conducted
among
816
undergraduate
postgraduate
from
universities
across
five
provinces,
utilising
convenience
sampling.
The
research
focused
on
how
AI
tools
integrated
into
contribute
to
student
stability.
Data
were
analysed
using
SPSS
for
descriptive
regression
analyses
AMOS
structural
equation
modelling.
findings
highlight
that
SEL
significantly
boosts
well‐being.
By
providing
tailored
experiences
based
students'
cognitive
needs,
systems
facilitate
better
regulation,
increased
focus
improved
academic
performance.
results
suggest
offer
personalised
support
not
only
enhances
outcomes
but
also
creates
more
emotionally
supportive
environment,
contributing
overall
success
Язык: Английский
A latent growth curve modeling of Chinese EFL learners’ emotional fluctuations in AI-mediated L2 education: is positivity or negativity on the rise?
Innovation in Language Learning and Teaching,
Год журнала:
2025,
Номер
unknown, С. 1 - 14
Опубликована: Янв. 1, 2025
The
role
of
artificial
intelligence
(AI)
tools
in
promoting
different
aspects
second
language
(L2)
education
has
recently
obtained
increasing
attention.
However,
there
is
insufficient
evidence
about
the
contribution
AI-mediated
L2
instruction
to
English
as
a
foreign
(EFL)
learners'
positive
and
negative
emotions.
To
address
gap,
this
study
conducted
latent
growth
curve
modeling
(LGCM)
analysis
find
out
changes
350
Chinese
EFL
classroom
engagement
enjoyment.
Two
questionnaires
were
used
collect
data
at
points
semester
that
was
taught
through
AI
tools.
results
showed
both
enjoyment
significantly
increased
learners
over
time.
While
grew
steadily
participants,
rate
not
equal
among
them.
Furthermore,
it
found
student
had
going-togetherness
time,
from
beginning
end
course.
are
discussed
implications
for
adoption
classes
provided
teachers
teacher
educators.
Язык: Английский
Postgraduate Chinese EFL learners’ emotional vulnerability displays and regulation strategies
System,
Год журнала:
2025,
Номер
129, С. 103605 - 103605
Опубликована: Янв. 22, 2025
Язык: Английский
Integrating AI-Driven Emotional Intelligence in Language Learning Platforms to Improve English Speaking Skills through Real-Time Adaptive Feedback
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 31, 2025
Abstract
This
groundbreaking
study
introduces
the
first-ever
integration
of
emotional
intelligence
(EI)
with
artificial
in
English-speaking
instruction
through
an
emotionally
adaptive
language
learning
system.
Through
a
mixed-method
design,
research
examined
this
innovative
approach’s
impact
on
speaking
proficiency
among
40
high
school
students
(aged
15-18)
from
Varamin
County,
Iran.
The
experimental
group
(n=20)
engaged
novel
“Amazon
Alexa-Speak”
Speaking
Assessment
System,
featuring
AI-driven
EI-based
real-time
feedback;
contrast,
control
received
conventional
over
six
sessions
following
pretest
to
ensure
homogeneity.
employed
concurrent
mixed
method
collecting
quantitative
data
System
and
researcher-made
perception
questionnaire;
qualitative
came
classroom
observation
checklists
semi-structured
interviews
(n=20),
focusing
state
monitoring
anxiety
reduction
patterns.
Statistical
analyses
revealed
significant
positive
correlation
between
EI
performance
(p
<
0.05,
η2
=
0.42),
showing
substantially
enhanced
(F(1,38)
24.63,
p
0.05).
system’s
detection
algorithm
demonstrated
94%
accuracy
identifying
responding
learners’
affective
states.
presents
paradigm
shift
education
technology
by
introducing
first
system
that
simultaneously
addresses
cognitive
aspects
acquisition.
findings
have
implications
for
global
market,
particularly
addressing
barriers
learning.
technology’s
scalability
cross-cultural
applicability
make
it
potentially
transformative
solution
worldwide,
opening
new
avenues
intelligent
educational
development.
Язык: Английский
EFL students’ perceptions about the role of generative artificial intelligence (GAI)-mediated instruction in their emotional engagement and goal orientation: A motivational climate theory (MCT) perspective in focus
Learning and Motivation,
Год журнала:
2025,
Номер
90, С. 102114 - 102114
Опубликована: Фев. 27, 2025
Язык: Английский
On the relationship between music students' negative emotions, artificial intelligence readiness, and their engagement
Acta Psychologica,
Год журнала:
2025,
Номер
253, С. 104760 - 104760
Опубликована: Янв. 30, 2025
Язык: Английский
Beyond Voice Recognition: Integrating Alexa’s Emotional Intelligence and ChatGPT’s Language Processing for EFL Learners’ Development and Anxiety Reduction - A Comparative Analysis
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 11, 2025
Abstract
This
groundbreaking
study
investigates
the
integration
of
Amazon
Alexa,
an
emotionally
intelligent
AI
platform,
into
English
language
teaching
through
adaptive
learning
system.
Using
a
mixed-methods
design,
examined
impact
this
innovative
platform
on
speaking
skills
40
high
school
students
(aged
16–18)
from
Varamin
County,
Iran.
The
experimental
group
(n
=
20)
engaged
with
Alexa's
which
provides
AI-driven
real-time
feedback
based
emotional
intelligence
(EI);
in
contrast,
control
received
instruction
using
ChatGPT-3.5
over
eight
sessions
following
pre-test
to
ensure
homogeneity.
employed
concurrent
mixed
methods
quantitative
data
collected
researcher-developed
Speaking
Assessment
System
and
Perception
Questionnaire;
qualitative
were
derived
classroom
observation
checklists
semi-structured
interviews
15),
focusing
state
monitoring
anxiety
reduction
patterns.
Statistical
analyses
revealed
significant
positive
correlation
between
EI-based
performance
(p
<
0.05,
η2
0.42),
showing
significantly
improved
(F(1,38)
24.63,
p
0.05).
detection
capabilities
demonstrated
94%
accuracy
identifying
responding
learners'
states.
represents
paradigm
shift
technology,
leveraging
address
cognitive
aspects
acquisition
simultaneously.
findings
have
implications
for
global
market,
particularly
addressing
barriers
learning.
platform's
scalability
cross-cultural
applicability
make
it
potentially
transformative
solution
worldwide,
opening
up
new
avenues
development
educational
technology.
Язык: Английский
Exploring the Dynamics of Artificial Intelligence Literacy on English as a Foreign Language Learners’ Willingness to Communicate: The Critical Mediating Roles of Artificial Intelligence Learning Self-Efficacy and Classroom Anxiety
Behavioral Sciences,
Год журнала:
2025,
Номер
15(4), С. 523 - 523
Опубликована: Апрель 14, 2025
The
increasing
incorporation
of
artificial
intelligence
(AI)
in
English
as
a
foreign
language
(EFL)
instruction
has
garnered
much
attention
on
the
importance
technological
elements
instruction.
However,
while
AI
education
(AIED)
is
still
its
early
development,
research
how
learners’
literacy
affects
their
learning
outcomes
insufficient.
Furthermore,
studies
examining
impact
emotional
states
within
context
AIED
are
remarkably
few.
This
study
examines
interplay
between
and
EFL
willingness
to
communicate
(WTC),
emphasizing
mediating
roles
self-efficacy
classroom
anxiety.
utilizes
structural
equation
modeling,
analyzing
data
from
517
university
students
China
construct
prediction
model
for
WTC
AI-enhanced
contexts.
findings
indicate
that
improves
diminishes
anxiety,
both
which
significant
mediators
relationship
communicate.
highlights
imperative
integrating
into
enhance
expressive
confidence
mitigate
fear.
improve
understanding
literacy,
psychological
factors,
outcomes,
offering
practical
insights
integration
education.
Язык: Английский