An AI Chatbot for EFL Writing: Students’ Usage Tendencies, Writing Performance, and Perceptions
Journal of Educational Computing Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 10, 2025
Writing
plays
a
crucial
role
in
the
development
of
English
as
Foreign
Language
(EFL)
learners’
language;
however,
it
remains
challenging
skill
for
them
to
acquire.
This
study
investigated
how
EFL
students
at
high
school
Northern
Vietnam
engaged
with
Assistant
Bot
(WAB),
an
artificial
intelligence
(AI)
chatbot
designed
support
their
writing
practice
home.
Focusing
on
students’
usage
patterns,
performance,
and
perceptions,
research
included
47
participants,
categorized
into
higher
lower
proficiency
levels.
The
mixed-method
approach
was
employed,
chat
logs,
timed-writing
tests,
questionnaires,
semi-structured
interviews.
findings
indicated
differences
between
two
levels
various
stages,
despite
similarities
focus
specific
aspects.
Lower-level
learners
predominantly
utilized
during
Planning
stage
generate
vocabulary
brainstorm
ideas,
while
higher-level
mainly
used
Translating
elaborate
ideas
refine
language
diverse
coherent
expression.
significantly
enhanced
performance
across
all
aspects:
content,
organization,
vocabulary,
use,
mechanics,
both
Students
perceived
useful
easy-to-use
tool.
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
Parental acceptance of novel children's medical syringes and their influencing factors
Frontiers in Psychology,
Год журнала:
2025,
Номер
16
Опубликована: Март 11, 2025
Background
With
the
rising
global
demand
for
medical
syringes
among
children,
unsuitability
of
traditional
may
negatively
affect
their
physical
and
mental
health.
Methods
This
study
integrates
extended
Technology
Acceptance
Model
(TAM)
to
survey
455
child
guardians
on
10
variables
influencing
attitudes
toward
pediatric
syringes.
Results
indicate
that
aesthetic
preferences
users
significantly
influence
price
value
sensitivity
purchasing
decisions
children's
guardians.
Furthermore,
product's
function
shape
users'
behavioral
intentions.
anxiety
time
error
reduction
emerge
as
key
factors
perceived
risks.
Conclusions
offers
product
designers
crucial
insights
into
products,
aims
enhance
development
iteration
efficiency,
promotes
more
accurate
innovation,
decision-making,
communication.
Additionally,
it
proposes
new
recommendations
ethical
marketing
strategies.
Язык: Английский
Exploring ChatGPT as a virtual tutor: A multi-dimensional analysis of large language models in academic support
Education and Information Technologies,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 12, 2025
Язык: Английский
Examining the Effect of Artificial Intelligence in Relation to Students’ Academic Achievement in Classroom: A Meta-Analysis
Computers and Education Artificial Intelligence,
Год журнала:
2025,
Номер
unknown, С. 100400 - 100400
Опубликована: Март 1, 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
How Ai Agents Transform Reflective Practices: A Three-Semester Comparative Study in Socially Shared Regulation of Learning
Опубликована: Янв. 1, 2025
Язык: Английский