Determinants of WhatsApp and Telegram usage for learning support in Nigerian universities: a quantitative study
Frontiers in Education,
Journal Year:
2025,
Volume and Issue:
10
Published: April 16, 2025
Evidence
on
the
use
of
social
media
platforms
such
as
WhatsApp
and
Telegram
learning
support
to
enhance
students’
performance
is
scarce
in
sub-Saharan
Africa,
where
there
limited
application
for
learning.
Much
rarer
are
studies
analyzing
determinants
using
region.
We
used
cross-sectional
data
from
206
students
public
universities
Nigeria
applied
econometric
frameworks
(such
Pearson’s
correlation
multivariate
regression
analysis)
analyze
among
university
Nigeria.
identified
six
constructs
Nigerian
universities,
which
include
expectancy,
effort
influence,
institutional
political
guidance
counseling
achievements,
facilitating
conditions.
These
were
acceptable/accepted
by
students.
The
age,
gender,
wealth
status
parents/guardians,
student’s
faculty/program,
location
school,
level
student
school.
constraints
usage
high
cost
Internet,
poor
connectivity
epileptic/poor
power
supply
charge
phones,
mistrust,
lack
structure
coherence,
irresponsible
media.
results
have
significant
implications
educational
institutions,
policymakers,
stakeholders
seeking
promote
effective
mobile
technologies.
Language: Английский
A comprehensive model for AI adoption: Analysing key characteristics affecting user attitudes, intentions and use of ChatGPT in education
Human Systems Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 6, 2025
Background
ChatGPT
is
transforming
education
by
optimising
academic
tasks,
improving
efficiency
and
enhancing
students’
ability
to
manage
organise
their
learning
activities.
The
integration
of
this
technology
into
higher
streamlines
complex
tasks
boosts
productivity.
Objective
This
paper
explores
the
influence
task,
individual
characteristics
on
attitudes
towards
using
effect
these
behavioural
intentions
university
students.
also
examines
how
such
actual
use
new
technologies,
as
ChatGPT,
in
education.
Methods
A
total
237
participants
were
asked
complete
an
online
questionnaire
survey,
collected
data
analysed
Smart
PLS.
Results
show
that
attitude
was
positively
correlated
with
characteristics.
Furthermore,
intention
influenced
attitudes,
for
related
intention.
Conclusions
contributes
growing
research
adoption
revealing
major
factors
utilisation
offering
useful
recommendations
teachers,
developers
policymakers
enhance
AI
tools
learning.
Language: Английский
Exploring Factors Influencing Sustainable Human Capital Development: Insights from Saudi Arabia
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(16), P. e35676 - e35676
Published: Aug. 1, 2024
This
study
investigates
the
critical
factors
influencing
Saudi
Arabia's
sustainable
human
capital
development.
It
primarily
aims
to
explore
correlations
among
postulated
variables
and
how
each
variable
influences
development
of
a
skilled,
adaptable,
socially
conscious
workforce,
in
alignment
with
objectives
Vision
2030.
utilizes
quantitative
approach,
employing
partial
least
squares
structural
equation
modeling
analyze
data
collected
from
203
public
personnel
Arabia
through
an
online
questionnaire.
The
findings
reveal
that
training,
community
engagement,
institutional
support,
technology
integration
are
essential
However,
learning,
education,
access
resources
were
not
statistically
significant
did
improve
Arabia.
underscore
significance
educational
framework
transcends
traditional
perspectives,
focusing
on
only
academic
preparation
but
also
holistic
individuals.
contributes
understanding
transformative
shaping
future
by
nurturing
responsible
citizenry.
Language: Английский
Examining factors influencing the adoption of accounting information systems: An analysis of behavioral intentions and usage behavior
Human Systems Management,
Journal Year:
2024,
Volume and Issue:
44(3), P. 460 - 476
Published: Nov. 5, 2024
Background
Accounting
Information
Systems
(AIS)
play
a
critical
role
in
enhancing
organizational
efficiency
and
decision-making
processes.
Understanding
the
factors
that
influence
AIS
adoption
is
essential
for
organizations
aiming
to
optimize
their
technological
capabilities.
Objective
The
objective
of
this
study
identify
key
influencing
employees’
behavioral
intentions
use
examine
how
these
affect
actual
behavior.
Methods
Employing
survey
methodology,
research
collected
data
on
variables.
survey,
adapted
from
validated
instruments,
was
distributed
sample
366
employees
across
public
private
sector
Saudi
Arabia.
SEM
used
analyze
complex
relationships
among
Results
results
indicate
performance
expectancy,
effort
social
influence,
facilitating
conditions
all
have
direct
positive
impacts
intention
AIS.
Additionally,
Behavioral
Intention
positively
influences
Use
Behavior.
Conclusions
findings
confirm
UTAUT
model’s
relevance
Arabia,
emphasizing
cultural
Vision
2030
technology
adoption.
highlights
importance
perceived
usefulness,
ease
use,
support,
systems
promoting
adoption,
offering
valuable
insights
both
theory
practice
management.
Language: Английский