Beyond Voice Recognition: Integrating Alexa’s Emotional Intelligence and ChatGPT’s Language Processing for EFL Learners’ Development and Anxiety Reduction - A Comparative Analysis
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.
Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 11, 2025
Language: Английский
