Asia Pacific Journal of Public Health,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 29, 2024
The
past
decade
has
seen
a
rapidly
changing
landscape
in
priority
areas
for
public
health
globally
and,
as
such,
across
the
teaching
and
learning
curriculum
tertiary
education
sciences.
nature
of
some
these
changes
led
to
pedagogical
challenges
higher
that
require
transformative,
interactive,
virtual
modes
delivery
knowledge
facilitation
not
previously
seen.
COVID-19
pandemic,
climate
change,
increasing
disparities,
shift
focus
on
noncommunicable
diseases
merged
with
social,
cultural,
technological
preferences
generations
living
through
such
times
see
an
need
more
viable
solutions
“wicked
problems.”
This
article
outlines
key
innovations
empirically
demonstrated
meet
nuanced
responses
increasingly
disrupted
approaches
linear
content
toward
bite-sized,
reflexive
achieving
objectives.
Internet Reference Services Quarterly,
Год журнала:
2025,
Номер
unknown, С. 1 - 21
Опубликована: Янв. 19, 2025
The
integration
of
generative
AI
(GenAI)
in
higher
education
is
transforming
teaching,
learning,
and
research,
offering
opportunities
for
innovation
efficiency.
However,
its
widespread
adoption
faces
challenges
related
to
ethical
considerations,
data
privacy,
intellectual
property,
compliance
with
evolving
legal
frameworks.
Universities
are
cautiously
adopting
GenAI,
focusing
on
maintaining
academic
integrity
while
exploring
new
ways
integrate
into
assessments
student
learning.
This
article
focuses
University
College
London's
(UCL)
approach
GenAI
offers
insights
from
the
practices
other
universities
too.
emphasizes
need
secure
environments
outlines
steps
accelerate
process,
such
as
acquiring
licenses,
forming
working
groups
at
faculty
institutional
levels,
sharing
best
through
standardized
templates.
It
highlights
importance
cross-institutional
collaboration,
including
libraries,
adaptable
policies
responsible
use
ensuring
innovation.
Recommendations
focus
balancing
responsibility
education's
GenAI.
Information Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 31, 2025
In
recent
years,
the
adoption
of
AI
technologies
in
academia
has
increased,
prompting
a
need
to
explain
factors
driving
scholars
adopt
or
plan
research
routines.
This
study
integrates
three
models
into
one
integrated
model:
TAM,
UTAUT,
and
SCT.
These
are
combined
understand
how
GenAI
self-efficacy,
perceived
ethics,
academic
integrity,
social
influence,
facilitating
conditions,
risks,
ease
use,
usefulness
influenced
participants’
intention
research.
Following
this,
data
were
collected
from
Egyptian
academics
linked
universities.
There
742
responses
this
question.
Data
analyzed
using
Partial
Least
Squares
Structural
Equation
Modelling
(PLS-SEM).
The
paper's
results
showed
that
ethics
significantly
related
perceptions
usefulness,
use
GenAI.
Facilitating
conditions
have
negative
effect
on
risk
does
not
affect
significantly.
Notably,
result
found
integrity
GenAI's
usage
utility.
guide
illustrates
universities
must
take
proactive
steps
influence
will
be
used
reinforces
importance
these
tools
within
an
ethical
lens.
paper
emphasizes
balance
generative
practices.
It
examines
role
attitudes
toward
AI.
They
represent
step
forward
our
understanding
induce
adoption–in
case,
context,
specifically
Egypt.
Additionally,
it
places
sound
emphasis
technology
can
beneficial
whilst
advocating
for
sensible
approach
application,
which
includes
principles.
Ethics & Behavior,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Окт. 25, 2024
This
study
examines
researchers'
ethical
concerns
toward
the
deployment
of
GenAI
in
research
and
their
emotional
responses.
To
acquire
an
in-depth
understanding,
we
used
narrative
frames
follow-up
interviews
to
collect
data
from
22
researchers
who
reported
extensive
experience
with
GenAI.
An
inductive
thematic
analysis
revealed
three
themes
capturing
that
invoked
types
reactions.
From
perspective,
our
participants
were
concerned
"human
agency
AI
practices,"
"cognitive
impacts
overreliance
on
research,"
"ethical
issues
access,
accuracy,
privacy."
they
showed
"mixed
emotions,"
"positive
"negative
emotions"
when
dealing
tools.
There
close
connections
between
implications
reactions
them.
In
this
light,
conclude
GenAI,
which
are
determinants
future
use,
should
be
taken
more
seriously
further
research.
Internet Reference Services Quarterly,
Год журнала:
2025,
Номер
unknown, С. 1 - 11
Опубликована: Янв. 28, 2025
This
article
presents
two
strategies
for
integrating
GenAI
into
assessments:
the
first
strategy
involves
using
Integration
Rubric
to
guide
ethical
AI
usage,
while
second
focuses
on
Experimentation
Outcome
Template
document
lessons
learned
and
drive
continuous
improvement
through
Monitoring
&
Evaluation
(M&E).
These
provide
practical
implications
academic
institutions
seeking
integrate
assessments,
supporting
reskilling
of
students
maintaining
integrity.
Mathematics,
Год журнала:
2025,
Номер
13(5), С. 850 - 850
Опубликована: Март 4, 2025
The
rapid
expansion
of
digital
news
sources
has
necessitated
intelligent
systems
capable
filtering,
analyzing,
and
deriving
meaningful
insights
from
vast
amounts
information
in
real
time.
This
study
presents
an
AI-driven
chatbot
designed
for
real-time
automation,
integrating
advanced
natural
language
processing
techniques,
knowledge
graphs,
generative
AI
models
to
improve
summarization
correlation
analysis.
processes
over
1,306,518
reports
spanning
25
September
2023
17
February
2025,
categorizing
them
into
15
primary
event
categories
extracting
key
through
structured
By
employing
state-of-the-art
machine
learning
the
system
enables
classification,
interactive
query-based
exploration,
automated
correlation.
demonstrated
high
accuracy
both
tasks,
achieving
average
F1
score
0.94
0.92
Summarization
queries
were
processed
within
response
time
9
s,
while
analyses
required
approximately
21
s
per
query.
chatbot’s
ability
generate
real-time,
concise
summaries
uncover
hidden
relationships
between
events
makes
it
a
valuable
tool
applications
disaster
response,
policy
analysis,
cybersecurity,
public
communication.
research
contributes
field
analytics
by
bridging
gap
static
retrieval
platforms
conversational
agents.
Future
work
will
focus
on
expanding
multilingual
support,
enhancing
misinformation
detection,
optimizing
computational
efficiency
broader
real-world
applicability.
proposed
stands
as
scalable
adaptive
solution
decision
support
dynamic
environments.
EIKI Journal of Effective Teaching Methods,
Год журнала:
2025,
Номер
3(1)
Опубликована: Март 17, 2025
Higher
Education
is
experiencing
substantial
transformations
as
Artificial
Intelligence
(AI)
redefines
academic
and
administrative
operations.
This
paper
examines
AI’s
paradigm-shifting
influence
on
Institutions
(HEIs),
emphasizing
its
contribution
to
improving
pedagogical
processes
optimizing
efficacy.
Using
a
structured
methodology,
this
study’s
thematic
analysis
highlights
key
areas
where
AI
making
an
impact.
addresses
the
positive
aspects
of
using
in
teaching
practices
learning
process,
crucial
role
writing
papers,
effects
honesty,
implementation
work,
responsibilities
faced
by
education
leaders
landscape,
link
between
digital
divide
higher
institutions.
Further
studies
may
focus
comparative
research
among
diverse
institutions
different
regions,
leadership
strategies
that
facilitate
integration
HEIs,
techniques
enhance
literacy
teachers,
staff,
students.
