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
Determinants of students’ adoption of AI chatbots in higher education: the moderating role of tech readiness
Interactive Technology and Smart Education,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 9, 2025
Purpose
This
study
aims
to
investigate
the
key
factors
influencing
students’
adoption
of
artificial
intelligence
(AI)
chatbot
applications
in
higher
education.
It
further
examines
mediating
and
moderating
role
AI
chatbots
tech
readiness
determining
effect
perceived
usefulness,
subjective
norms,
simplicity
literacy
on
intention
use
applications.
Design/methodology/approach
A
survey
was
conducted
at
Malaysian
universities
whereby
430
students
participated
426
responses
were
deemed
valid
for
analysis.
The
data
carefully
examined
ensure
accuracy
proposed
model.
To
comprehend
intricate
relationships
model,
authors
used
partial
least
squares
structural
equation
modeling
(PLS-SEM)
technique.
Findings
results
revealed
that
usefulness
(PU),
norm
(SN),
(TL)
(TS)
have
a
significant
impact
significantly
influences
findings
indicated
mediates
PU,
SN,
TL
TS
chatbots.
Tech
(TR)
moderates
PU
Originality/value
research
addresses
new
insight
into
within
education,
particularly
demonstrating
how
act
as
mediators
moderators
shaping
perceptions
Язык: Английский