Marketing Education Review,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 7
Published: Dec. 26, 2024
The
rapid
adoption
and
evolution
of
generative
artificial
intelligence
(AI)
tools
like
ChatGPT
Gemini
have
impacted
marketing
education
practice.
This
paper
introduces
a
prompt
engineering
assignment
that
utilizes
AI
to
build
critical
thinking
skills
through
the
development
keyword
research
strategies,
customer
profiles,
presentation
outlines.
Using
insights
from
students,
educators,
marketers,
is
refined
include
(a)
reflections
about
learning
application
(b)
evaluations
accuracy
potential
for
bias
in
generated
output.
tasks
align
with
practice,
guidance
provided
on
how
adapt
update
assignment.
Journal of Marketing Education,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 23, 2024
The
integration
of
generative
artificial
intelligence
(AI)
tools
like
ChatGPT
in
education
has
raised
concerns
that
students
may
become
dependent
on
AI-generated
solutions,
potentially
stifling
the
development
critical
thinking
skills.
Compounding
this
issue
is
fact
Bloom’s
Taxonomy—the
widely
used
framework
for
designing
educational
goals—fails
to
address
cognitive
demands
AI-assisted
learning.
This
exploratory
study
presents
a
revised
incorporates
AI-specific
competencies,
offering
more
relevant
model
nurturing
an
AI-driven
environment.
Using
conceptual
approach
supported
by
empirical
evidence
from
MSc
Marketing
students’
interactions
with
AI
over
4
weeks,
found
can
both
enhance
and
challenge
across
cognitive,
affective,
metacognitive
domains.
Key
elements
such
as
melioration,
ethical
reasoning,
collaboration,
reflective
were
identified
developing
deeper
engagement
content.
proposes
12
propositions
inform
future
research
pedagogical
strategies.
outlines
agenda
examining
AI’s
impact
development,
serving
resource
educators,
policymakers,
researchers
seeking
adapt
teaching
methods
education.
BMC Medical Education,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: March 19, 2025
To
assess
the
ability
of
General
Practice
(GP)
Trainees
to
detect
AI-generated
hallucinations
in
simulated
clinical
practice,
ChatGPT-4o
was
utilized.
The
were
categorized
into
three
types
based
on
accuracy
answers
and
explanations:
(1)
correct
with
incorrect
or
flawed
explanations,
(2)
explanations
that
contradict
factual
evidence,
(3)
explanations.
This
multi-center,
cross-sectional
survey
study
involved
142
GP
Trainees,
all
whom
undergoing
Specialist
Training
volunteered
participate.
evaluated
consistency
ChatGPT-4o,
as
well
Trainees'
response
time,
accuracy,
sensitivity
(d'),
tendencies
(β).
Binary
regression
analysis
used
explore
factors
affecting
identify
errors
generated
by
ChatGPT-4o.
A
total
137
participants
included,
a
mean
age
25.93
years.
Half
unfamiliar
AI,
35.0%
had
never
it.
ChatGPT-4o's
overall
80.8%,
which
slightly
decreased
80.1%
after
human
verification.
However,
for
professional
practice
(Subject
4)
only
57.0%,
verification,
it
dropped
further
44.2%.
87
identified,
primarily
occurring
at
application
evaluation
levels.
detecting
these
55.0%,
(d')
0.39.
Regression
revealed
shorter
times
(OR
=
0.92,
P
0.02),
higher
self-assessed
AI
understanding
0.16,
0.04),
more
frequent
use
10.43,
0.01)
associated
stricter
error
detection
criteria.
concluded
trainees
faced
challenges
identifying
errors,
particularly
scenarios.
highlights
importance
improving
literacy
critical
thinking
skills
ensure
effective
integration
medical
education.
Human Relations,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 11, 2025
Artificial
intelligence
(AI)
has
become
part
and
parcel
of
scientific
knowledge
production
since
the
latest
iterations
generative
AI
models
(e.g.,
ChatGPT,
DeepSeek,
Claude,
or
Gemini)
became
widely
available.
Given
rapidly
evolved
initial
release
ChatGPT
in
2022,
researching
how
AI’s
capabilities
impact
organizations
researchers
make
use
tools
can
be
likened
to
a
moving
target.
In
this
editorial
essay,
we
explore
implications
introduction
context
academic
research,
both
as
subject
investigation
(i.e.,
research
on
AI)
tool
facilitate
writing,
data
generation,
peer
review
process
with
AI).
Specifically,
concerning
AI,
consider
issues
around
clarity
regarding
existing
definitions
concepts
literature
these
are
influenced
by
rapid
technological
evolution
capabilities.
regard
reflect
advantages
disadvantages
discuss
Human
Relations
Usage
Policy
.
Overall,
our
aim
is
not
overly
prescriptive
conduct
but
encourage
authors
best
capture
target
their
endeavors.
LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades,
Journal Year:
2025,
Volume and Issue:
6(1)
Published: March 7, 2025
Actualmente,
el
rápido
avance,
propagación
y
fácil
acceso
que
se
tiene
a
la
Inteligencia
Artificial
ha
dado
lugar
obligatoriedad
de
considerarla
como
herramienta
en
tanto
ámbito
educativo
general,
así
enseñanza
idiomas
refiere.
Este
trabajo
presenta
una
recapitulación
histórica
relación
del
uso
las
tecnologías
apoyo
para
inglés,
posteriormente
dar
paso
al
análisis
establecimiento
razones
formas
IA
aulas
inglés
nivel
universitario,
pueden
favorecer
proceso
enseñanza,
aprendizaje
mismo.
Las
oportunidades
representa
adecuado
profesores
alumnos
optimizar
gran
medida
tareas
ambos.
No
obstante,
es
necesario
procurar
mantener
dichas
prácticas
éticamente
correctas.
De
esta
manera,
busca
aula
universitario
funja
fundamental
desarrollo
competencia
comunicativa
los
universitarios.
Journal of Paramedic Practice,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1 - 7
Published: April 2, 2025
Generative
artificial
intelligence
(Gen
AI)
has
gained
the
spotlight
within
education
since
large
language
models
became
publicly
available.
Gen
AI
demonstrated
its
ability
to
generate
high-quality
academic
content
and
even
pass
medical
exams
these
concerns
have,
at
times,
overshadowed
potential
benefits.
This
paper
explores
as
a
training
companion
in
paramedic
continuing
professional
development
(CPD),
highlighting
how
it
can
enhance
learning,
improve
accessibility
address
individual
learner
needs
while
acknowledging
problems.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 20, 2024
AbstractOBJECTIVE
To
evaluate
the
ability
of
general
practice
residents
to
detect
AI-generated
hallucinations
and
assess
influencing
factors.METHODS
This
multi-center
study
involved
142
residents,
all
whom
were
undergoing
standardized
training
volunteered
participate.
The
evaluated
AI’s
accuracy
consistency,
along
with
residents’
response
time,
accuracy,
sensitivity(d’),
standard
tendencies
(β).
Binary
regression
analysis
was
used
explore
factors
affecting
residents'
identify
errors.RESULTS
137
participants
ultimately
included
had
an
mean
(SD)
age
25.93
±
2.10,
46.72%
male,
81.75%
undergraduates,
45.26%
from
Jiangsu.
Regarding
AI,
52.55%
unfamiliar
it,
35.04%
never
it.
ChatGPT
demonstrated
80.8%
overall
including
57%
in
professional
practice.
87
identified,
primarily
level
application
evaluation.
55%
±4.3%,
sensitivity
(d')
0.39
0.33.
median
bias
(β)
0.74
(0.31).
Regression
revealed
that
shorter
times
(OR
=
0.92,
P
0.02),
higher
self-assessed
AI
understanding
0.16,
0.04),
frequent
use
10.43,
0.01)
associated
stricter
error
detection
criteria.CONCLUSIONS
concluded
struggled
errors,
particularly
clinical
cases,
emphasizing
importance
improving
literacy
critical
thinking
for
effective
integration
into
medical
education.
