Behavioral Sciences,
Год журнала:
2024,
Номер
14(11), С. 1008 - 1008
Опубликована: Окт. 30, 2024
Artificial
Intelligence
(AI)
technology,
particularly
generative
AI,
has
positively
impacted
education
by
enhancing
mathematics
instruction
with
personalized
learning
experiences
and
improved
data
analysis.
Nonetheless,
variations
in
AI
literacy,
trust
dependency
on
these
technologies
among
teachers
can
significantly
influence
their
development
of
21st-century
skills
such
as
self-confidence,
problem-solving,
critical
thinking,
creative
collaboration.
This
study
aims
to
identify
distinct
profiles
trust,
examines
how
correlate
the
aforementioned
skills.
Using
a
cross-sectional
research
design,
collected
from
489
China.
A
robust
three-step
latent
profile
analysis
method
was
utilized
analyze
data.
The
revealed
five
literacy
teachers:
(1)
Basic
Engagement;
(2)
Developing
Literacy,
Skeptical
AI;
(3)
Balanced
Competence;
(4)
Advanced
Integration;
(5)
Expertise
Confidence.
found
that
an
increase
directly
correlates
decrease
findings
underscore
need
for
careful
integration
educational
settings.
Excessive
reliance
lead
detrimental
dependencies,
which
may
hinder
essential
contributes
existing
literature
providing
empirical
evidence
impact
professional
teachers.
It
also
offers
practical
implications
policymakers
institutions
consider
balanced
approaches
integration,
ensuring
enhances
rather
than
replaces
thinking
problem-solving
capacities
educators.
Philology Theory & Practice,
Год журнала:
2025,
Номер
18(1), С. 384 - 392
Опубликована: Янв. 31, 2025
The
paper
presents
a
review
of
foreign
English-language
and
Russian
scientific
pedagogical
literature,
seeking
to
consider
the
pressing
problems
application
artificial
intelligence
tools
in
modern
language
education.
analyses
potential,
prospects
implementing
sphere
teaching.
novelty
lies
identifying
most
significant
research
tasks
promising
directions
this
area.
As
result,
works
2021-2024
on
subject
under
consideration
are
analyzed,
described.
British Educational Research Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 15, 2025
Abstract
The
integration
of
AI‐based
platforms,
such
as
Poe
and
Gemini,
into
language
instruction
has
garnered
increasing
attention
for
their
potential
to
enhance
writing
skills.
Despite
this
interest,
little
is
known
about
effects
on
EFL
learners'
positive
emotions
(PEs),
academic
self‐efficacy
boredom
in
writing.
Addressing
gap,
the
present
study
investigated
effectiveness
Gemini
developing
skills
explored
impact
PEs,
among
learners
at
upper‐intermediate
level.
For
purpose,
a
total
519
Japanese
were
randomly
assigned
three
groups:
(1)
Poe‐assisted
instruction;
(2)
Gemini‐assisted
(3)
control
group
(CG)
receiving
traditional
instruction.
employed
mixed‐methods
design,
incorporating
both
quantitative
qualitative
data
collection.
Writing
development
was
assessed
through
pre‐
post‐tests,
while
emotions,
measured
using
validated
scales.
Additionally,
gathered
interviews
analysed
coding
thematic
analysis
understand
attitudes
perceptions.
Quantitative
ANOVA
MANOVA
compare
outcomes
across
groups.
findings
revealed
that
significantly
improved
compared
CG,
with
no
substantial
differences
between
two
platforms.
Participants
groups
reported
heightened
PEs
increased
self‐efficacy,
alongside
reduced
during
tasks.
corroborated
these
results,
highlighting
platforms'
role
fostering
greater
enthusiasm,
engagement,
autonomy
motivation
English
learning.
concludes
by
offering
range
implications
different
stakeholders.
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.
AsiaCALL Online Journal,
Год журнала:
2025,
Номер
16(1), С. 226 - 252
Опубликована: Фев. 5, 2025
Vocabulary
plays
a
fundamental
role
in
language
acquisition
and
communication,
serving
as
the
building
blocks
for
expressing
ideas,
understanding
texts,
engaging
effective
verbal
communication.
However,
effectively
learning
vocabulary
can
be
challenging
due
to
learners’
diverse
needs
styles,
well
lack
of
motivation.
With
emergence
artificial
intelligence
(AI),
numerous
opportunities
exist
leverage
technology
instruction,
including
learning.
This
research
explored
students’
perceptions
towards
using
Chat-GPT
3.5
(free
version)
improve
beyond
classroom.
The
study
employed
mixed-methods
approach,
administering
survey
with
Likert-scale
open-ended
questions
based
on
Technology
Acceptance
Model
students
university
academic
classes.
Results
from
section
indicated
potential
learners
use
self-directed
after
class.
Findings
parts
revealed
that
provide
significant
support
terms
both
meanings
usage
relevant
contexts
if
they
have
enough
guidance
scaffolding
teachers
or
peers.
Therefore,
it
is
crucial
raise
awareness
about
organizing
training
English
technological
knowledge,
especially
how
Chat-GPT,
ensuring
sufficient
learners.
approach
will
help
guide
right
path
independent
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.
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Фев. 21, 2025
ABSTRACT
Research
on
the
factors
influencing
acceptance
of
GenAI
in
language
learning
has
expanded
widely;
however,
few
studies
have
focused
role
emotions.
To
enhance
effectiveness
GenAI‐powered
English‐speaking
instruction
and
experience,
this
study
expands
Integrated
Model
Technology
Acceptance
(IMTA)
by
investigating
various
emotions
willingness
to
communicate
different
contexts
as
intrinsic
motivators
for
conversational
chatbots.
Using
a
questionnaire
(
n
=
368)
pre‐
post‐tests,
found
that
EFL
learners
with
higher
communicative
confidence
greater
foreign
boredom
tend
perceive
chatbots
less
useful
developing
speaking
skills.
While
successfully
aided
them
improving
their
skills
through
both
theme‐based
free
dialogues,
who
are
more
willing
engage
face‐to‐face
interactions
peers
teachers
may
not
find
productive
or
engaging
human
counterparts.
The
results
suggest
should
be
aware
limitations
students'
individual
differences,
integrating
into
classrooms
way
aligns
student's
proficiency
preferences
create
harmonious
efficient
GenAI‐supported
environment.
This
also
underscores
importance
teachers'
AI
competence
era.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 211 - 238
Опубликована: Фев. 21, 2025
The
integration
of
Artificial
Intelligence
(AI),
Virtual
Reality
(VR),
and
Augmented
(AR)
in
education
is
reshaping
the
learning
landscape
by
providing
immersive
personalized
experiences.
Immersive
through
VR
AR
allows
for
practical
simulations
experiential
learning,
bridging
gap
between
theoretical
knowledge
real-world
application.
However,
challenges
such
as
ethical
considerations,
data
privacy,
digital
divide
need
to
be
addressed
ensure
inclusive
equitable
access
these
advanced
tools.
chapter
explores
benefits
AI-driven
including
improved
student
motivation,
engagement,
retention,
while
also
discussing
scalability
potential
widespread
adoption
across
diverse
educational
settings.
It
emphasizes
importance
incorporating
frameworks
continuous
research
align
AI,
VR,
applications
with
evolving
needs
modern
education,
ensuring
that
technologies
contribute
positively
outcomes
lifelong
learning.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 227 - 246
Опубликована: Март 13, 2025
The
use
of
artificial
intelligence
(AI)
assistants
in
education,
especially
language
classrooms,
holds
multiple
possibilities
and
concerns.
conversational
agents,
smart
learning
environments,
writing,
editing
tools
help
students
to
receive
individualised
learning,
immediate
feedback
more
convenient
access
the
material.
Literature
has
revealed
that
these
instruments
can
enrich
process,
make
teaching
individually
oriented,
provide
versatile
necessary
materials.
Nonetheless,
AI
education
some
drawbacks
too:
one
may
speak
about
vulnerability
data
protection,
ever-increasing
dependence
on
tools,
non-cognitive
features
process.
rationale
for
this
chapter
is
discuss
opportunities
surround
integration
while
discussing
ethical
pedagogical
issues
arising
from
new
development.