The Impact of Adaptive Learning Technologies, Personalized Feedback, and Interactive AI Tools on Student Engagement: The Moderating Role of Digital Literacy
Sustainability,
Год журнала:
2025,
Номер
17(3), С. 1133 - 1133
Опубликована: Янв. 30, 2025
Using
adaptive
learning
technologies,
personalized
feedback,
and
interactive
AI
tools,
this
study
investigates
how
these
tools
affect
student
engagement
what
the
mediating
role
of
individuals’
digital
literacy
is
at
same
time.
The
will
target
500
students
from
different
faculties
such
as
science,
engineering,
humanities,
social
sciences.
With
changing
trends
in
educational
technology,
it
important
to
know
if
allow
interact
with
materials.
Through
study,
we
explore
which
adapt
content
students’
progress,
are
influenced
by
motivation
participation
during
process
using
that
provide
real-time
feedback
interaction.
Also,
presented
a
moderating
factor
may
either
accelerate
or
impede
effectiveness
tools.
These
findings
demonstrate
more
have
organized
help
improve
engagement.
Additionally,
higher
levels
involved
This
research
recognizes
teachers
should
incorporate
technologies
into
their
courses
manner
synergizes
student’s
capabilities
reap
benefits
technology
on
outcomes.
Язык: Английский
Filling the gap in K-12 data literacy competence assessment: Design and initial validation of a questionnaire
Computers in Human Behavior Reports,
Год журнала:
2025,
Номер
17, С. 100583 - 100583
Опубликована: Янв. 5, 2025
Язык: Английский
Students' mindset to adopt AI chatbots for effectiveness of online learning in higher education
Future Business Journal,
Год журнала:
2025,
Номер
11(1)
Опубликована: Март 10, 2025
Abstract
The
rapid
incorporation
of
Artificial
Intelligence
(AI)
technologies
into
higher
education
is
shifting
the
focus
toward
understanding
students’
perspectives
and
factors
affecting
adoption
AI
chatbots
to
maximize
their
use
in
online
virtual
educational
environments.
This
study
fills
an
important
gap
literature
by
examining
direct
mediated
relationships
key
constructs
such
as
perceived
usefulness,
ease
use,
technical
competency
chatbot
usage.
aims
investigate
mindsets
regarding
adopting
for
effectiveness
learning
education.
Data
were
collected
from
429
university
students
analyzed
using
partial
least
squares-based
structural
equation
modeling
(PLS-SEM)
technique.
results
revealed
that
usefulness
(PU),
(PEU),
tech
(TC)
have
a
significant
impact
on
capability.
Subjective
norm
(SN)
has
no
capability
significantly
influences
effectiveness.
findings
indicated
mediates
effect
PU,
PEU,
TC
chatbots;
however,
there
mediating
relationship
between
SN
Facilitating
conditions
moderate
PU
research
addresses
new
insight
within
context
education,
particularly
demonstrating
moderating
function
tech-competent
concepts.
Язык: Английский
The Role of Artificial Intelligence in the Adaptation of Students to Virtual Educational Environments
Metaverse Basic and Applied Research,
Год журнала:
2024,
Номер
3, С. 124 - 124
Опубликована: Дек. 30, 2024
In
recent
decades,
the
accelerated
advance
of
digital
technologies
has
profoundly
transformed
educational
processes,
promoting
expansion
virtual
learning
environments
that
transcend
physical
and
temporal
barriers.Objective:
To
determine
relationship
between
role
artificial
intelligence
in
adaptation
students
to
environments.Methodology:
Quantitative
correlational,
non-experimental
design.
Simple
random
sampling,
with
a
sample
376
university
who
had
studied
at
least
one
semester
mode.
Data
collection
was
done
through
structured
surveys
Likert-type
scales,
designed
evaluate
use
AI
tools
level
students.Results:
showed
significant
student
adaptation,
facilitating
access
information
offering
personalized
experiences.Conclusions:
enabled
personalization
experiences,
improving
accessibility
making
them
more
interactive.
AI-powered
assistants
fostered
active
participation
greater
understanding
content.
The
importance
avoiding
over-reliance
on
interdisciplinary
collaboration
real-time
feedback
continuously
improve
highlighted.
Язык: Английский