Transforming marketing landscapes: a systematic literature review of generative AI using the TCCM model framework
Management Review Quarterly,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 29, 2025
Язык: Английский
Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study
Опубликована: Авг. 16, 2024
Despite
the
potential
benefits
of
generative
Artificial
Intelligence
(genAI),
concerns
about
its
psy-chological
impact
on
medical
students,
especially
with
regard
to
job
displacement,
are
apparent.
This
pilot
study,
conducted
in
Jordan
during
July–August
2024,
aimed
examine
specific
fears,
anxieties,
mistrust,
and
ethical
students
could
harbor
towards
genAI.
Using
a
cross-sectional
survey
design,
data
were
collected
from
164
studying
across
various
academic
years,
employing
structured
self-administered
questionnaire
an
internally
consistent
FAME
scale—representing
Fear,
Anxiety,
Mistrust,
Ethics
comprising
12
items,
three
items
for
each
construct.
The
results
indicated
variable
levels
anxiety
genAI
among
participating
students:
34.1%
reported
no
role
their
future
careers
(n
=
56),
while
41.5%
slightly
anxious
61),
22.0%
somewhat
36),
2.4%
extremely
4).
Among
constructs,
Mistrust
was
most
agreed
upon
(mean:
12.35±2.78),
followed
by
construct
10.86±2.90),
Fear
9.49±3.53),
Anxiety
8.91±3.68).
Sex,
level,
Grade
Point
Average
(GPA)
did
not
significantly
affect
students’
perceptions
However,
there
notable
direct
association
between
general
elevated
scores
constructs
scale.
Prior
exposure
previous
use
modify
These
findings
highlighted
critical
need
refined
educational
strategies
address
integration
training.
demonstrated
pervasive
anxiety,
fear,
regarding
deployment
healthcare,
indicating
necessity
curriculum
modifi-cations
that
focus
specifically
these
areas.
Interventions
should
be
tailored
increase
familiarity
competency,
which
would
alleviate
apprehension
equip
physicians
engage
this
inevitable
technology
effectively.
study
also
importance
incorporating
discussions
into
courses
mistrust
human-centered
aspects
Conclusively,
calls
proactive
evolution
education
prepare
AI-driven
healthcare
practices
shortly
ensure
well-prepared,
confident,
ethically
informed
professional
interactions
technologies.
Язык: Английский
Artificial intelligence in higher education institutions: review of innovations, opportunities and challenges
Frontiers in Education,
Год журнала:
2025,
Номер
10
Опубликована: Март 3, 2025
Artificial
intelligence
is
revolutionizing
industries
including
institutions
of
higher
learning
as
it
enhances
teaching
and
processes,
streamline
administrative
tasks
drive
innovations.
Despite
the
unprecedented
opportunities,
AI
tools
if
not
used
correctly,
can
be
challenging
in
education
institutions.
The
purpose
this
study
was
to
comprehensively
review
innovations,
opportunities
challenges
associated
with
use
Education
learning.
A
systematic
literature
methodology
adopted
locate
select
existing
studies,
analyze
synthesize
evidence
arrive
at
clear
conclusion
about
current
debate
area
study.
Following
PRISMA,
analyzed
a
total
54
documents
that
met
inclusion
exclusion
criteria
set
for
selection
documents.
unveiled
many
enhanced
research
capabilities,
automation
among
others.
Intelligence
are
found
refine
different
units
include
ethical
concerns,
integrity
issues
data
fabrication
issues.
With
notwithstanding,
benefits
cannot
over
emphasized.
remains
powerful
tool
research,
tasked,
personalized
learning,
inclusivity
accessibility
educational
content
all.
Emphasis
should
put
regulatory
frameworks
detailing
how
such
while
maintaining
level
standards
required.
Язык: Английский
Generative AI Techniques and Models
Lecture notes on data engineering and communications technologies,
Год журнала:
2025,
Номер
unknown, С. 45 - 64
Опубликована: Янв. 1, 2025
Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study
International Medical Education,
Год журнала:
2024,
Номер
3(4), С. 406 - 425
Опубликована: Окт. 9, 2024
Despite
the
potential
benefits
of
generative
artificial
intelligence
(genAI),
concerns
about
its
psychological
impact
on
medical
students,
especially
job
displacement,
are
apparent.
This
pilot
study,
conducted
in
Jordan
during
July–August
2024,
aimed
to
examine
specific
fears,
anxieties,
mistrust,
and
ethical
students
harbor
towards
genAI.
Using
a
cross-sectional
survey
design,
data
were
collected
from
164
studying
across
various
academic
years,
employing
structured
self-administered
questionnaire
with
an
internally
consistent
FAME
scale—representing
Fear,
Anxiety,
Mistrust,
Ethics—comprising
12
items,
3
items
for
each
construct.
Exploratory
confirmatory
factors
analyses
assess
construct
validity
scale.
The
results
indicated
variable
levels
anxiety
genAI
among
participating
students:
34.1%
reported
no
genAI‘s
role
their
future
careers
(n
=
56),
while
41.5%
slightly
anxious
61),
22.0%
somewhat
36),
2.4%
extremely
4).
Among
constructs,
Mistrust
was
most
agreed
upon
(mean:
12.35
±
2.78),
followed
by
Ethics
10.86
2.90),
Fear
9.49
3.53),
Anxiety
8.91
3.68).
Their
sex,
level,
Grade
Point
Average
(GPA)
did
not
significantly
affect
students’
perceptions
However,
there
notable
direct
association
between
general
elevated
scores
constructs
Prior
exposure
previous
use
modify
These
findings
highlight
critical
need
refined
educational
strategies
address
integration
into
training.
demonstrate
anxiety,
fear,
regarding
deployment
healthcare,
indicating
necessity
curriculum
modifications
that
focus
specifically
these
areas.
Interventions
should
be
tailored
increase
familiarity
competency
genAI,
which
would
alleviate
apprehensions
equip
physicians
engage
this
inevitable
technology
effectively.
study
also
highlights
importance
incorporating
discussions
courses
mistrust
human-centered
aspects
In
conclusion,
calls
proactive
evolution
education
prepare
new
AI-driven
healthcare
practices
ensure
well
prepared,
confident,
ethically
informed
professional
interactions
technologies.
Язык: Английский
Marketing Is a Transdisciplinary Body of Knowledge
Journal of Marketing Education,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 30, 2024
“What
‘is’
marketing?”
Perusal
of
the
marketing
literature
reveals
that
“marketing”
has
been
defined
and
characterized
in
multiple,
often
inconsistent
but
typically
ambiguous,
ways
have
evolved
over
time.
The
present
essay
argues
characterizing
as
a
transdisciplinary
body
knowledge
formally
captures
its
essence
possesses
numerous
implications
for
education
well
practice.
Following
brief
review
how
conceptualized
past,
benefits
challenges
conceptualizing
are
discussed
from
paradigmatic
perspective.
Язык: Английский
A Framework for the Responsible Integration of Generative AI Tools in Learning
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 163 - 194
Опубликована: Дек. 13, 2024
Generative
artificial
intelligence
(Gen-AI)
tools
are
increasingly
utilized
in
educational
settings
for
tasks
ranging
from
content
creation
to
personalizing
learning
experiences.
While
these
offer
considerable
potential
transform
education,
their
integration
brings
challenges,
including
biases,
dependency,
and
ethical
dilemmas.
Addressing
challenges
concerns
is
essential
fully
leveraging
Gen-AI
promote
equitable
effective
learning.
This
chapter
presents
a
framework
the
responsible
use
of
environments,
offering
guidance
educators,
technologists,
policymakers,
students,
other
stakeholders.
The
provides
proactive
guidelines
navigate
complexities
Gen-AI,
ensuring
employed
ethically
effectively
enhance
student
outcomes.
Язык: Английский