Predicting Mainland Chinese Students in Malaysia’s AI based Chatbot Satisfaction and Academic Performance: Mediating Moderating Analysis
Abstract
This
study
investigates
the
factors
influencing
Mainland
Chinese
students'
satisfaction
with
AI-based
chatbots
and
their
academic
performance
in
Malaysian
universities.
By
integrating
Technology
Acceptance
Model
(TAM),
Social
Cognitive
Theory
(SCT),
Expectancy-Value
(EVT),
research
examines
roles
of
perceived
risk,
enjoyment,
trust,
emotional
value,
internet
addiction,
reuse
intention,
satisfaction,
AI
self-efficacy.
A
cross-sectional
survey
was
conducted
among
400
students
using
stratified
random
sampling.
Data
analysis
Partial
Least
Squares
Structural
Equation
Modeling
(PLS-SEM)
reveals
that
risk
negatively
influences
while
enjoyment
trust
positively
affect
intention.
Emotional
value
indirectly
enhances
through
self-efficacy
moderates
relationships
between
performance.
The
findings
contribute
to
theoretical
frameworks
by
expanding
TAM
include
trust-related
factors,
also
offering
practical
implications
for
improving
educational
tools
higher
education
settings.
Future
should
explore
additional
mediators
moderators
deepen
understanding
chatbot
adoption
its
impact
on
outcomes.
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 11, 2024
Language: Английский