Exploring adoption of humanoid robots in education: UTAUT-2 and TOE models for science teachers
Education and Information Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Language: Английский
Factors influencing technology integration among mathematics educators in South Africa: A modified UTAUT2 perspective
Contemporary Educational Technology,
Journal Year:
2025,
Volume and Issue:
17(2), P. ep564 - ep564
Published: Jan. 28, 2025
Educators
must
effectively
integrate
technology
into
their
teaching
practices
in
today’s
technology-driven
world.
This
study
investigated
factors
influencing
integration
among
mathematics
educators
Gauteng
secondary
schools
South
Africa.
The
unified
theory
of
acceptance
and
use
technology,
extended
by
adding
the
technological
pedagogical
content
knowledge
(TPACK)
framed
study.
Data
was
collected
using
an
online
questionnaire
from
309
educators.
Exploratory
confirmatory
factor
analyses
were
used
to
validate
verify
measurement
model.
structural
equation
modelling
indicated
that
hedonic
motivation
(HM),
performance
expectancy
(PE)
TPACK
influenced
behavioral
intention
(BI)
technology.
TPACK,
facilitating
conditions
(FC),
effort
(EE),
social
influence
(SIN),
descriptive
norms
(SID)
habit
(HT)
(BU)
integration.
second-order
all
constructs
contributed
Still,
most
important,
with
highest
explained
variance
64.4%,
followed
EE,
FC,
HM
HT,
which
had
variances
above
50%.
BI
BU,
PE
less
than
50%
variance.
Our
findings
could
provide
insights
future
interventions
for
effective
in-service
educator
training.
Language: Английский
The More Anxious, the More Dependent? The Impact of Math Anxiety on AI‐Assisted Problem‐Solving
Feng Chen,
No information about this author
Jihe Chen,
No information about this author
Yanying Xu
No information about this author
et al.
Psychology in the Schools,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 4, 2025
ABSTRACT
Although
the
use
of
AI
technology
driven
by
anxiety
has
become
increasingly
common,
research
on
relationship
between
high
school
students'
math
and
their
intention
to
for
problem‐solving
remains
limited.
This
study,
grounded
in
Stimulus‐Organism‐Response
(SOR)
model,
aims
explore
solving
problems
among
students.
Using
Math
Anxiety
Scale
(AMAS),
Perceived
Social
Support
(PSSS),
Problem‐Solving
Behavior
(AIPS),
data
from
391
students
were
collected.
The
analysis
revealed
following:
(1)
Students
report
levels
a
strong
inclination
tools
problems;
(2)
support
plays
significant
role
alleviating
anxiety,
with
family
being
most
effective,
followed
friends
teachers;
(3)
High
are
effective
means
reducing
anxiety.
study
suggests
that
should
be
addressed,
focus
regulating
application
education
promote
its
scientific
use.
Additionally,
improving
relationships
providing
mental
health
recommended
alleviate
an
emotional
social
perspective.
provides
valuable
insights
educators
policymakers,
offering
important
references
designing
more
human‐centered
educational
interventions,
thereby
promoting
artificial
intelligence
mathematics
education.
Language: Английский
Higher Education Digital Academic Leadership: Perceptions and Practices from Chinese University Leaders
Meiying Jing,
No information about this author
Zhen Guo,
No information about this author
Xiao Wu
No information about this author
et al.
Education Sciences,
Journal Year:
2025,
Volume and Issue:
15(5), P. 606 - 606
Published: May 14, 2025
Digital
academic
leadership
(DAL)
is
essential
for
navigating
the
complexities
of
digital
transformation
in
higher
education
institutions.
However,
empirical
studies
on
how
university
leaders
perceive
and
implement
these
practices
remain
scarce.
This
study
bridges
critical
gap
research
by
empirically
investigating
DAL
through
lens
unified
theory
acceptance
use
technology.
employs
a
mixed-methods
approach,
combining
surveys
semi-structured
interviews
with
mid-to-senior
administrators
Zhejiang
Guangdong,
China,
from
whom
identifies
four
core
dimensions
DAL:
strategic
foresight,
resource
coordination,
technology
awareness,
culture
building.
Quantitative
analyses
reveal
significant
variations
perceptions
across
institutional
tiers,
gender,
disciplinary
cluster,
while
quantitative
qualitative
insights
both
expose
contextual
challenges
pathways
effective
implementation
Chinese
universities
organizational
goals.
The
contributes
framework
theorizing
as
situated
practice
offers
evidence-based
strategies
reconciling
technological
imperatives
localized
dynamics
universities.
Language: Английский