Economics students’ behavioural intention and usage of ChatGPT in higher education: a hybrid structural equation modelling-artificial neural network approach
Cogent Social Sciences,
Journal Year:
2024,
Volume and Issue:
10(1)
Published: Jan. 16, 2024
The
Chat
Generative
Pre-Trained
Transformer,
popularly
referred
to
as
ChatGPT,
is
an
AI-based
technology
with
the
potential
revolutionise
conventional
teaching
and
learning
in
higher
education
institutions
(HEIs).
However,
it
remains
unclear
which
factors
influence
behavioural
intentions
actual
usage
of
ChatGPT
among
economics
students
Ghanaian
HEIs.
In
pursuit
this
goal,
we
employed
extended
Unified
Theory
Acceptance
Use
Technology
(UTAUT2)
gain
a
better
understanding
antecedents
influencing
students.
study
surveyed
306
enrolled
at
public
university.
These
were
aware
existence
applications.
We
applied
hybrid
analytical
approach,
combining
structural
equation
modelling
artificial
neural
network
(SEM-ANN),
elucidate
causal
relationships
between
variables
believed
impact
perceived
trust,
intentions,
usage.
results
showed
that
design
interactivity
have
significant
on
trust.
Similarly,
social
influence,
performance
expectancy,
hedonic
motivation,
habits
drive
intentions.
Among
various
motivation
emerged
most
dominant.
Moreover,
facilitating
conditions
significantly
students'
use
ChatGPT.
Nevertheless,
ethics
not
factor
effort
expectancy
does
affect
behavioral
intention.
findings,
however,
offer
theoretical
practical
contributions
can
serve
guide
for
thoughtful
responsible
integration
tools
future
strategy
enhance
accessibility
inclusivity
opportunities
Language: Английский
Predictors of higher education students’ behavioural intention and usage of ChatGPT: the moderating roles of age, gender and experience
Interactive Learning Environments,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 27
Published: June 12, 2024
The
adoption
and
usage
of
ChatGPT
among
students
are
influenced
by
various
factors,
including
individual
characteristics
such
as
age,
gender,
experience
with
technology
use.
However,
studies
on
the
moderating
roles
in
predicting
students'
behavioural
intention
limited.
This
study
employed
Unified
Theory
Acceptance
Use
Technology
(UTAUT2)
model
to
examine
predictors
Higher
Education
(HE)
ChatGPT.
a
descriptive
cross-sectional
survey
design
an
adapted
instrument
collect
data
from
486
students.
Using
Partial
Least
Squares
Structural
Equation
Modelling
approach,
results
showed
that
hedonic
motivation,
performance
expectancy,
effort
social
influence
were
significant
intention,
whereas
facilitating
conditions
had
actual
use
Age
gender
found
moderate
relationship
between
Lastly,
moderated
habit
ChatGPT,
motivation
intention.
These
findings
have
implications
for
implementation
higher
education
towards
enhancing
engagement
learning
outcomes.
Language: Английский
Technology-mediated learning in the workplace: influence of personalization
Management Decision,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 14, 2025
Purpose
Technology-mediated
learning
(TML)
is
gaining
popularity
among
business
organizations
for
upskilling
their
employees.
However,
high
dropout
rates
have
limited
its
effectiveness.
Thus,
we
explore,
if
and
how
personalization
of
TML
can
improve
adoption
effectiveness
in
workplaces
from
the
lens
unified
theory
acceptance
use
technology
(UTAUT2)
theory.
Design/methodology/approach
An
exploratory
sequential
mixed-method
design
was
used
this
study.
Study
1
included
interviews
(
N
=
27)
Learning
Development
(L&D)
leaders
employees
(learners)
large
global
organizations,
about
experiences
with
TML.
Emergent
themes
led
us
to
our
research
model,
which
integrates
constructs
personalization,
transfer
training
(TT).
In
2,
a
cross-sectional
study
conducted.
Data
were
collected
who
experienced
406)
analyzed
using
PLS-SEM.
Findings
suggested
that
positively
influenced
intent
skills,
thereby
improving
proving
relevance
workplaces.
Precisely,
personalized
recommendations
managers
impacted
(1)
behavioral
intention
(BI)
TT
directly;
(2)
BI
through
performance
expectancy
(PE);
(3)
social
influence
individually;
(4)
PE
sequentially.
Likewise,
allowing
flexibility
choose
based
on
interests
directly
via
hedonic
motivation
(HM)
HM
individually
Practical
implications
Using
L&D
practitioners
may
personalize
ecosystems
foster
Originality/value
Personalization
has
received
scant
attention;
thereby,
expands
existing
knowledge
relatively
nascent
field
research.
Language: Английский
Exploring the nexus between digital competencies and digital citizenship of higher education students: a PLS-SEM approach
Cogent Education,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: March 15, 2024
In
the
ever-evolving
digital
landscape,
higher
education
(HE)
students
find
themselves
at
crossroads
of
two
critical
aspects:
their
competencies
and
citizenship.
Given
ubiquitous
integration
technologies
in
educational
settings,
it
is
essential
to
investigate
relationship
between
students'
ability
engage
as
responsible
citizens.
This
study
examined
nexus
citizenship
among
HE
students.
involved
247
from
a
Ghanaian
institution.
Digital
competency
scales
were
used
data
collection
instruments.
The
findings
revealed
that
problem-solving,
communication
collaboration,
content
creation
had
significant
positive
influence
on
Conversely,
safety
competence
has
no
Interestingly,
information
literacy
have
negative
effect
implications
these
provide
valuable
insights
for
institutions,
policymakers,
educators
foster
promote
Language: Английский
The role of entrepreneurship education in the entrepreneurial readiness of generation Z students: why do digital business literacy and financial literacy matter?
Cogent Education,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: July 8, 2024
Entrepreneurship
has
become
a
central
issue
in
an
effort
to
improve
the
nation's
economic
welfare.
Several
previous
studies
agree
that
ideal
country
is
one
entrepreneurial
contribution
of
at
least
4%
its
total
population.
However,
when
compared
with
other
countries,
Indonesia's
currently
still
low
because
it
only
reached
ratio
3.47%.
One
causes
this
lack
effective
entrepreneurship
education.
Some
empirical
evidence
not
been
able
explain
how
education
prepare
generation
Z
entrepreneurs
through
various
new
literacies.
This
research
aims
investigate
influence
on
readiness
students,
which
moderated
by
digital
business
literacy
and
financial
literacy.
was
conducted
using
quantitative
approach
involved
700
students
Makassar
City,
Indonesia.
The
data
analysis
technique
used
partial
squares
structural
equation
modeling
(PLS-SEM)
analysis.
Research
findings
show
plays
important
role
strengthened
can
help
expand
develop
concepts
related
context
higher
education,
so
that,
implication,
provides
valuable
paves
way
for
further
regarding
diverse
Language: Английский