Human Resource Development Quarterly,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 29, 2024
ABSTRACT
The
purpose
of
this
article
is
to
analyze
the
system
motivation
scientific
and
pedagogical
workers,
which
operates
today
in
universities,
assess
satisfaction
teachers
with
current
that
exists
university
and,
based
on
results
analysis
evaluation,
formulate
recommendations
will
be
aimed
at
improving
teaching
staff
universities
Republic
Kazakhstan.
following
methods
were
used
study:
synthesis,
comparison,
economic
statistical
analysis,
generalization
interpretation
obtained,
graphical
representation
data.
data
Bureau
National
Statistics
Agency
for
Strategic
Planning
Reforms
Kazakhstan,
an
Internet
survey
conducted
Google
Forms
platform
as
a
source
information.
study
are
follows:
dynamics
number
country
has
been
studied,
labor
Kazakhstan
carried
out,
improvement
have
formulated.
practical
significance
determined
by
fact
proposed
can
basis
development
new
universities.
Journal of Asian Public Policy,
Год журнала:
2024,
Номер
unknown, С. 1 - 23
Опубликована: Авг. 27, 2024
The
burgeoning
field
of
Generative
Artificial
Intelligence
(GenAI)
presents
a
new
avenue
for
enhancing
teaching
and
learning
practices
within
higher
education.
While
existing
research
has
predominantly
focused
on
GenAI's
capabilities
to
perform
specific
educational
tasks,
its
potential
as
an
interactive
agent
engaging
in
human-like
conversations
forming
connections
remains
underexplored.
Drawing
upon
connectivist
lens
that
recognizes
occurs
networks
interactions,
we
investigate
how
GenAI
tools
can
contribute
social
entrepreneurship
Through
qualitative
interviews
with
multiple
key
stakeholder
groups,
this
study
reveals
three
dimensions
dialogic
spaces
be
enabled
by
GenAI:
collaborative
learning,
knowledge
connectivity,
theory-practice
integration.
This
makes
several
contributions.
First,
it
expands
current
discussions
AI
education,
moving
beyond
tool-based
acceptance
actively
exploring
active
agent.
Second,
contributes
the
literature
demonstrating
not
only
interaction
facilitators
but
also
agents
create
interactions
across
different
levels.
Finally,
offers
practical
insights
bridging
voices
perspectives
stakeholders
envision
future
where
coexists
traditional
agents.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 215 - 242
Опубликована: Фев. 26, 2025
The
integration
of
artificial
intelligence
(AI)
and
blockchain
technology
is
revolutionizing
sustainability
assurance,
setting
new
benchmarks
for
transparency,
accuracy,
accountability.
This
article
explores
current
trends
innovative
applications
AI
in
verifying
corporate
efforts,
from
automated
data
analysis
to
secure,
decentralized
record-keeping.
By
leveraging
real-time
monitoring
insights,
organizations
can
better
track
environmental
social
impacts,
while
ensures
integrity
traceability
across
supply
chains.
These
advancements
enhance
stakeholder
trust
support
regulatory
compliance,
addressing
increasing
demands
robust
verification
global
markets.
Furthermore,
the
paper
discusses
challenges
such
as
privacy
implementation
costs,
offering
insights
into
potential
long-term
impact
these
technologies
on
governance.
examining
recent
case
studies
market
trends,
this
outlines
a
future
where
technology-driven
assurance
processes.
Deleted Journal,
Год журнала:
2024,
Номер
3(2), С. 35 - 41
Опубликована: Июль 1, 2024
This
study
explores
the
utilization,
perceptions,
and
impacts
of
Decision
Support
Systems
(DSS)
in
higher
education
administration.
With
a
focus
on
DSS,
cross-sectional
survey
was
conducted
among
administrators
from
various
institutions.
The
findings
underscore
essential
role
DSS
administration,
with
reporting
significant
utilization
praising
their
effectiveness
user-friendliness.
reveals
positive
influence
strategic
planning,
enrollment
management,
resource
allocation,
student
success
initiatives.
Moreover,
it
demonstrates
association
between
usage
favorable
outcomes,
including
increased
efficiency
perceived
consequences.
However,
persistent
challenges
such
as
data
quality
issues,
privacy
concerns,
resistance
to
change
highlight
need
for
improved
management
strategies,
ethical
considerations,
approaches.
These
contribute
ongoing
discourse
transformative
potential
administration
provide
valuable
insights
businesses
seeking
enhance
decision-making,
data-driven
innovative
integration
AI
represents
paradigm
shift
decision-making
processes,
offering
unprecedented
opportunities
improvement
innovation.
Advances in educational technologies and instructional design book series,
Год журнала:
2025,
Номер
unknown, С. 493 - 518
Опубликована: Фев. 14, 2025
The
integration
of
Artificial
Intelligence
(AI)
in
education
offers
opportunities
for
personalized
and
accessible
learning
but
raises
critical
ethical
concerns.
This
study
examines
doctoral
researchers'
perspectives
on
these
issues
using
the
PAPA
(Privacy,
Accuracy,
Property,
Accessibility)
framework.
Semi-structured
interviews
revealed
10
themes
23
subthemes,
highlighting
concerns
about
data
privacy,
ownership,
consent,
transparency.
Participants
stressed
need
robust
guidelines
to
address
risks
such
as
breaches,
bias,
unequal
access
while
ensuring
AI
supports
rather
than
undermines
academic
integrity
autonomy.
findings
emphasize
frameworks
essential
responsible
inclusive
education.
Education Sciences,
Год журнала:
2025,
Номер
15(4), С. 501 - 501
Опубликована: Апрель 16, 2025
This
study
investigates
the
perceptions
of
generative
artificial
intelligence
(GenAI)
tools,
such
as
ChatGPT,
among
students
and
academics
at
Sultan
Qaboos
University
(SQU)
within
context
higher
education
in
Oman.
Using
Technology
Acceptance
Model
(TAM),
it
explores
five
key
dimensions:
actual
use
(AU),
ease
(EU),
perceived
usefulness
(PU),
challenges
(PC),
intention
to
(IU).
Data
collected
from
555
168
provide
valuable
insights
into
opportunities
associated
with
adoption
GenAI
based
on
results
a
t-test.
The
findings
reveal
notable
differences
between
regarding
their
tools
across
all
TAM
variables.
Students
report
frequent
for
academic
support,
including
personalized
learning,
brainstorming,
completing
assignments,
while
highlight
its
role
developing
learning
materials,
assessments,
lesson
plans,
customizing
content.
Both
groups
recognize
potential
enhance
efficiency
innovation
practices.
However,
concerns
arise
over-reliance
GenAI,
diminished
critical
thinking
creativity,
integrity
risks.
Academics
consistently
express
greater
about
these
than
students,
particularly
plagiarism,
misconduct,
GenAI.
Despite
challenges,
majority
indicate
willingness
continue
using
tools.
contrast
underscores
need
tailored
interventions
address
distinct
academics.
These
regulatory
frameworks,
comprehensive
institutional
guidelines,
targeted
training
programs
ensure
ethical
responsible
technologies.
By
addressing
areas,
institutions
Oman
can
leverage
safeguarding
fostering
essential
skills
creativity.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Май 22, 2024
Abstract
Algorithms
are
increasingly
used
in
consumer-oriented
decision-making,
and
understanding
how
customers
respond
to
them
is
crucial.
The
research
grounded
self-determination
theory
aims
identify
AI
algorithm
variables
that
affect
consumers'
decision-making.
These
can
improve
pleasure,
engagement
boost
revenue
by
increasing
customer
loyalty.
Online
shopping
involves
making
purchases
through
the
internet,
following
a
five-phase
process.
Artificial
intelligence
revolutionizing
providing
tailored
experiences
insights.
Generative
conversational
generate
product
recommendations,
while
AI-driven
systems
offer
advantages
for
both
businesses
consumers,
boosting
sales,
satisfaction,
optimizing
study
uses
Social
Exchange
Theory
(SET)
Service-Dominant
Logic
(SDL)
AI-powered
technology
benefit
consumers
offering
personalized
recommendations
quick
service.
According
study,
different
roles
played
algorithmic
agents
have
impacts
on
purchasing
decisions.
This
consistent
with
inverted
U-shaped
hypothesis.
Purchase
decisions
made
most
influence
when
decision-making
autonomy
at
medium
degree.
psychological
processes
behavioral
attitudes
of
towards
services
buying
must
be
understood.
It
recommends
prioritize
design
raise
users'
self-efficacy
maintain
control
over
Understanding
balancing
human
interaction
strategies
satisfaction.
