Envisioning the future of learning and teaching engineering in the artificial intelligence era: Opportunities and challenges
Journal of Engineering Education,
Год журнала:
2023,
Номер
112(3), С. 578 - 582
Опубликована: Июнь 20, 2023
Язык: Английский
Investigating the interrelationship among academic emotions, classroom engagement, and self-efficacy in the context of EFL learning in smart classrooms in China
Australian Journal of Psychology,
Год журнала:
2024,
Номер
76(1)
Опубликована: Янв. 29, 2024
Objective
This
study
aims
to
fill
in
the
gap
by
exploring
interrelationship
among
academic
emotions,
classroom
engagement
and
self-efficacy
EFL
learning
Chinese
non-English
majors
smart
classrooms.
Язык: Английский
AI-Enabled Learning Ecosystems
S. Santhana Hari,
R. Harine Rajashree,
J. Dharani
и другие.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 165 - 192
Опубликована: Фев. 13, 2025
Artificial
intelligence
(AI)
has
rapidly
evolved
from
a
speculative
concept
into
transformative
force
impacting
multiple
domains,
with
education
being
one
of
its
most
promising
areas
influence.
The
potential
AI
lies
in
creating
dynamic,
adaptive,
and
student-centered
learning
ecosystems
that
enhance
the
teaching
process.
In
this
chapter,
we
will
delve
how
can
transform
education,
starting
AI-integrated
smart
classrooms
foster
personalized
efficient
learning.
We
explore
use
for
asset
tracking
to
ensure
safety
support
inclusive
students
special
needs.
Furthermore,
chapter
discuss
integration
design
thinking,
enhancing
creativity
problem-solving
skills.
also
examine
generative
AI's
impact
on
learning,
revolutionize
assessment
methods.
These
discussions,
supported
by
scholarly
references,
aim
provide
comprehensive
understanding
role
shaping
future
while
addressing
associated
challenges.
Язык: Английский
ARGUS: Visualization of AI and Machine Learning-Assisted Task Guidance in Augmented Reality
Ahmad Sajadi,
Maryam Alaeifard,
Majid Modaberi
и другие.
Опубликована: Янв. 1, 2025
Язык: Английский
Online peer mediation versus teacher mediation in dynamic second language pragmatics assessment
Education and Information Technologies,
Год журнала:
2024,
Номер
29(16), С. 21195 - 21215
Опубликована: Апрель 29, 2024
Язык: Английский
The Effect of Danmaku Font Size on Online Learning Outcomes for Learners with Different Cognitive Styles: Evidence from Eye Movements
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 15
Опубликована: Июнь 7, 2024
Danmaku
is
increasingly
used
during
online
interactions
-
such
as
learner
communication
in
learning.
As
an
emerging
interaction
method,
not
only
enhances
the
viewer
experience,
but
also
allows
learners
to
achieve
better
learning
outcomes.
Therefore,
this
study
a
2
(Danmaku
font
size:
large,
small)
×
(cognitive
style:
field-independent,
field-dependent)
between-participants
design
investigate
effect
of
size
on
through
eye-tracking
studies
and
reveal
mechanism
outcomes
field-independent
field-dependent
learners.
The
results
show
that
affects
perception
with
different
cognitive
styles
learning,
i.e.,
under
style,
small
can
improve
perceptual
experience.
Under
focus
more
area,
so
large
In
summary,
found
impacts
styles.
sizes
should
be
selected
according
teaching.
This
provide
research
basis
optimization
suggestions
for
how
use
teaching
design,
which
will
help
deepen
understanding
role
Язык: Английский
Establishing a user demand hierarchy model driven by a mental model for complex operating systems
International Journal of Industrial Ergonomics,
Год журнала:
2024,
Номер
103, С. 103634 - 103634
Опубликована: Авг. 31, 2024
Язык: Английский
Machine learning based human interacted robotic intelligence to detect the different categories of speech
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI),
Год журнала:
2023,
Номер
unknown, С. 1 - 8
Опубликована: Май 25, 2023
Realizing
artificial
intelligence
depends
heavily
on
human-robot
interaction
(HRI)
technology.
Here,
we
present
dual-function
sound
actuators
built
graphene
for
exchanges
that
use
machine
learning.
(GHRI).
The
GHRI's
triboelectric
acoustic
detection
mechanism
and
thermoacoustic
output
allow
it
to
serve
as
both
a
prosthetic
ear
tongue.
Triboelectric
materials,
electrodes,
sources
made
possible
by
laser-induced
contributed
the
overall
success
of
combined
device.
GHRI
can
recognize
speech
identities,
feelings,
substance,
other
information
in
human
optimizing
structure
parameters
produce
high
sensitivity
working
longevity.
With
help
learning,
convolutional
neural
network
is
used
teach
30
voice
categories,
with
an
accuracy
99.72%
97.83%
training
test
datasets,
respectively.
In
addition,
AIs
communicate
through
recognized
characteristics.
implications
our
research
future
robots
are
vast.
Язык: Английский