The
unprecedented
impact
of
the
COVID-19
pandemic
has
resulted
in
a
significant
shift
operations
Higher
Education
Institutions
(HEIs),
indicating
disruptive
influence
technological
innovations.
This
paper
delves
into
implications
such
advancements
within
HEI
sector,
emphasising
role
Artificial
Intelligence
(AI)
enhancing
academic
performance
and
student
learning
outcomes.
Guided
by
Technology
Acceptance
Model
(TAM),
20
empirical
studies
on
AI
published
between
2016
2022
are
examined,
systematically
presented,
discussed.
article
draws
critical
lessons
about
South
African
HEIs.
A
core
finding
is
that
advent
revolutionised
environment
through
intelligent
learning,
increasing
collaborations,
promoting
active
sharing
resources,
delivering
distance
education
virtual
improving
pedagogical
systems.
review
contributes
to
AI's
growing
theory
practice
adds
limited
literature
4IR
sector.
In
recent
years,
the
adoption
of
artificial
intelligence
(AI)
has
become
increasingly
relevant
in
various
sectors,
including
higher
education.
This
study
investigates
psychosocial
factors
influencing
AI
among
Peruvian
university
students
and
uses
an
extended
UTAUT2
model
to
examine
constructs
that
may
impact
acceptance
use.
employed
a
quantitative
approach
with
survey-based
design.
A
total
482
from
public
private
universities
Peru
participated
research.
The
utilized
partial
least
squares
structural
equation
modeling
(PLS-SEM)
analyze
data
test
hypothesized
relationships
between
constructs.
findings
revealed
three
out
six
significantly
influenced
students.
Performance
expectancy
(β
=
0.274),
social
influence
0.355),
learning
self-efficacy
0.431)
were
found
have
significant
positive
effects
on
adoption.
contrast
expectations,
ethical
awareness,
perceived
playfulness,
readiness
anxiety
did
not
impacts
appropriation
this
context.
highlights
importance
practical
benefits,
context,
self-confidence
within
These
contribute
understanding
diverse
educational
settings
provide
framework
for
developing
effective
implementation
strategies
education
institutions.
results
can
guide
policymakers
creating
targeted
approaches
enhance
integration
academic
environments,
focusing
demonstrating
value
AI,
leveraging
networks,
building
students'
confidence
their
ability
learn
use
technologies.
Journal of Consumer Sciences,
Год журнала:
2025,
Номер
10(1), С. 27 - 58
Опубликована: Янв. 31, 2025
Background:
Student
interest
in
entrepreneurial
pursuits
remains
low,
despite
the
significant
contributions
of
entrepreneurship
to
economic
growth.
Purpose:
This
study
investigates
factors
influencing
IPB
students'
adopting
AI-based
learning
through
lens
design
thinking,
emphasizing
role
communication
methods
and
their
impact
on
motivation
attitudes.
Methods:
adopts
a
mixed-method
design,
combining
quantitative
qualitative
approaches.
Quantitative
data
were
collected
via
an
online
survey
from
173
students,
with
166
valid
responses
after
cleaning.
analysis
was
conducted
using
descriptive
statistics
(SPSS
25)
Partial
Least
Squares
Structural
Equation
Modeling
(PLS-SEM).
The
aspect
involved
SCAMPER
within
thinking
framework
explore
AI
integration
education.
PICOS
applied
adoption
higher
education
comprehensively.
approach
provides
holistic
understanding
educational
contexts.
Findings:
Results
indicate
that
significantly
affects
intentions
engage
systems,
positively
impacting
attitudes
toward
AI.
Perceived
ease
use
also
influences
perceived
usefulness,
although
usefulness
does
not
directly
motivation.
Additionally,
interpersonal
interactions
mass
media
influence
while
awareness
have
effect.
Conclusion:
Expanding
requires
strategic
communication,
mainly
focusing
Design
Thinking’s
empathize
phase
understand
student
challenges.
By
iteratively
proposing
tools
prototype
phase,
institutions
can
develop
user-friendly,
engaging
solutions
tailored
needs,
fostering
engagement
learning.
Research
implication:
These
insights
suggest
targeted
strategies,
including
principles,
support
broader
adoption,
enhance
students’
experiences,
foster
new
generation
tech-savvy
entrepreneurs.
