Investigating the Effects of Artificial Intelligence-Assisted Language Learning Strategies on Cognitive Load and Learning Outcomes: A Comparative Study
Journal of Educational Computing Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 31, 2024
This
study
investigates
the
impact
of
AI-assisted
language
learning
(AIAL)
strategies
on
cognitive
load
and
outcomes
in
context
acquisition.
Specifically,
explores
three
distinct
AIAL
strategies:
personalized
feedback
adaptive
learning,
interactive
exercises
with
speech
recognition,
intelligent
tutoring
data-driven
insights.
The
research
employs
a
pretest-posttest
random
assignment
experimental
design,
utilizing
groups
control
group,
total
484
EFL
students
specializing
teaching
English
as
foreign
participating
study.
Data
collection
involves
pre-
post-tests,
questionnaires,
interviews
to
assess
influence
outcomes.
Cognitive
is
measured
using
Load
Scale,
while
assessments
evaluate
efficacy
interventions
across
various
skills.
These
results
contribute
existing
body
by
offering
empirical
evidence
for
effectiveness
specific
optimizing
experiences.
implications
this
extend
educators,
researchers,
developers
field
AIAL,
emphasizing
potential
enhance
acquisition
processes
inform
instructional
design
practices.
Язык: Английский
Effects of AI-enhanced multi-display language teaching systems on learning motivation, cognitive load management, and learner autonomy
Education and Information Technologies,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 8, 2025
Язык: Английский
AI-Driven Strategy to Enhance Students' Receptive Skills
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 121 - 156
Опубликована: Март 14, 2025
In
this
chapter
explore
the
field
of
English
language
teaching
has
new
opportunities
to
improve
receptive
skills
such
as
listening
and
reading
thanks
emergence
AI
in
education,
which
ushered
a
era
learning
modernization
its
curriculum.
By
leveraging
capabilities
AI-based
technologies,
educators
can
now
create
personalized
experiences,
facilitate
adaptive
instruction,
foster
autonomous
development
among
their
students.
Язык: Английский
Impact of AI gamification on EFL learning outcomes and nonlinear dynamic motivation: Comparing adaptive learning paths, conversational agents, and storytelling
Education and Information Technologies,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 30, 2024
Язык: Английский
Mind the Gap, Please!
International Journal of Computer-Assisted Language Learning and Teaching,
Год журнала:
2024,
Номер
14(1), С. 1 - 28
Опубликована: Авг. 14, 2024
This
mixed-methods
study
investigates
the
mismatch
between
student
use
of
AI
for
academic
tasks
and
teacher
awareness
in
Saudi
Arabian
higher
education.
Surveys
78
teachers
243
students
English
Specific
Purposes
courses
at
public
private
universities
included
Likert-scale
items
an
open-ended
question
on
tools'
benefits,
challenges,
impact
learning
integrity.
The
reveals
a
significant
gap
teachers'
perceptions
students'
skills
reality
integration,
leading
to
discrepancies
judging
knowledge
assessment
authenticity.
To
address
these
manuscript
proposes
strategies,
including
targeted
professional
development
teachers,
swift
adoption
best
practices
ethical
generative
classrooms,
fostering
open
dialogue
within
institutions.
research
provides
insights
inform
teaching
practices,
curriculum
development,
policy-making
education's
evolving
landscape.
Future
could
benefit
from
more
comprehensive
sampling
enhance
generalizability
Язык: Английский
The Future of AI in Education
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 367 - 406
Опубликована: Дек. 6, 2024
This
chapter
explores
the
expanding
role
of
artificial
intelligence
(AI)
in
education,
focusing
on
future
projections
and
emerging
trends
shaping
next
generation
learning.
AI
has
already
transformed
educational
landscapes,
fostering
personalized
learning
experiences,
adaptive
technologies,
automated
administrative
processes.
examines
upcoming
AI-driven
innovations
poised
to
enhance
outcomes
further.
Key
trends,
including
intelligent
tutoring
systems,
AI-powered
assessments,
data-driven
analytics,
are
analyzed
for
their
potential
impact.
The
also
addresses
ethical
practical
challenges
posed
by
such
as
algorithmic
bias
privacy
concerns.
By
understanding
these
evolving
dynamics,
educators
policymakers
can
better
prepare
a
where
contributes
positively
global
environments.
Язык: Английский
AI-Powered Language Teaching and Learning
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 55 - 92
Опубликована: Окт. 11, 2024
This
chapter
explores
the
rapidly
evolving
landscape
of
artificial
intelligence
(AI)
in
language
education,
examining
both
innovative
potential
and
significant
challenges
presented
by
AI-powered
tools
systems.
The
authors
investigate
how
AI
is
transforming
traditional
approaches
to
teaching
learning,
enabling
more
personalized,
adaptive,
engaging
educational
experiences.
delves
into
various
applications,
including
intelligent
tutoring
systems,
chatbots,
speech
recognition,
natural
processing,
analyzing
their
impact
on
acquisition
processes.
They
also
critically
examine
ethical,
pedagogical,
practical
associated
with
integrating
education.
Through
a
combination
literature
review,
case
studies,
experimental
research,
this
provides
comprehensive
overview
current
state
future
prospects
learning.
Язык: Английский