Using artificial intelligence for academic writing in higher education: the perspectives of university students in Ghana
Discover Education,
Год журнала:
2025,
Номер
4(1)
Опубликована: Фев. 28, 2025
Язык: Английский
Clinical Predictors and Prevalence of Enteral Nutrition Intolerance in Acute Pancreatitis: An Updated Systematic Review and Meta-Analysis
Nutrients,
Год журнала:
2025,
Номер
17(5), С. 910 - 910
Опубликована: Март 5, 2025
Background:
Acute
pancreatitis
(AP)
leads
to
severe
inflammation
and
nutritional
deficits,
with
80%
of
cases
experiencing
critical
protein
loss.
Timely
enteral
nutrition
is
essential
for
recovery.
This
study
systematically
reviews
analyzes
the
incidence
predictors
intolerance
(ENI)
in
AP
patients.
Methods:
Web
Science,
Embase,
Cochrane
Library,
PubMed
were
searched
up
May
2024.
Studies
reporting
on
ENI
patients
included
based
predefined
criteria.
Bias
was
assessed
using
standardized
tools,
meta-analyses
provided
summary
estimates
confidence
intervals.
Results:
From
2697
screened
studies,
28
involving
4853
met
inclusion
The
pooled
26%.
Significant
comorbid
diabetes,
pancreatic
necrosis,
elevated
pre-refeeding
serum
lipase
levels,
peri-pancreatic
fluid
collections,
systemic
inflammatory
response
syndrome
at
admission.
Higher
rates
observed
Europe,
among
acute
(SAP),
those
receiving
nasoenteric
feeding,
prospective
cohorts.
Conclusions:
affects
approximately
one-quarter
not
significantly
associated
age,
sex,
or
cause
AP.
Its
varies
by
region,
disease
severity,
feeding
method
design.
Identifying
predictors,
such
as
diabetes
may
help
clinicians
reduce
risk
ENI.
limitations
this
include
heterogeneity
studies
inconsistent
diagnostic
Язык: Английский
Values characteristics of Chinese college students with upper-level learning engagement
Frontiers in Psychology,
Год журнала:
2025,
Номер
16
Опубликована: Март 25, 2025
Introduction
Currently,
much
of
the
research
on
learning
engagement
has
more
underlined
individual
factors
associated
with
levels
among
college
students,
but
connections
between
values
and
not
been
definitively
elucidated.
The
aim
this
is
to
reveal
relationships
preferences
degrees
engagement,
mainly
focuses
Chinese
students
upper-level
engagement.
Methods
Data
from
360
first-year
majored
in
foreign
languages
Northeast
China
supported
a
two-cluster
based
different
levels.
assignment
items
UWES-S
scale
PVQ-21
was
confirmed
through
principal
component
method
identify
underlying
dimensions
students’
values.
A
cluster
analysis
K-means
algorithm
participants
their
And
series
One-Way
Analyses
Variance
(ANOVAs)
were
performed
assess
differences
groups
relation
each
analyzed
characteristics
Results
Comparing
those
lower-level
results
showed
that
assigned
importance
“Social
Focus”
values,
“Openness
Change”
benevolence,
hedonism.
Which
presents
promising
opportunity
for
future
explore
potential
impact
education
Conclusion
This
enhances
comprehension
intricate
relationship
offers
avenue
further
investigation
into
Язык: Английский
ChatGPT-4o-Generated Exercise Plans for Patients with Type 2 Diabetes Mellitus—Assessment of Their Safety and Other Quality Criteria by Coaching Experts
Sports,
Год журнала:
2025,
Номер
13(4), С. 92 - 92
Опубликована: Март 24, 2025
In
this
discussion
paper
based
on
preliminary
data,
the
safety
and
other
quality
criteria
of
ChatGPT-4o-generated
exercise
plans
for
patients
with
type
2
diabetes
mellitus
(T2DM)
are
evaluated.
The
study
team
created
three
fictional
patient
profiles
varying
in
sex,
age,
body
mass
index,
secondary
diseases/complications,
medication,
self-rated
physical
fitness,
weekly
routine
personal
preferences.
Three
distinct
prompts
were
used
to
generate
each
patient.
While
Prompt
1
was
very
simple,
3
included
more
detailed
requests.
optimized
by
ChatGPT
itself.
coaching
experts
reviewed
discussed
their
evaluations.
Some
showed
serious
issues,
especially
diseases/complications.
most
incorporated
key
training
principles,
they
some
deficits,
e.g.,
insufficient
feasibility.
use
(Prompt
3)
tended
result
elaborate
better
ratings.
may
have
issues
T2DM,
indicating
need
consult
a
professional
coach
feedback
before
starting
program.
Язык: Английский
Integrating artificial intelligence in literacy lessons for elementary classrooms: a co-design approach
Educational Technology Research and Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 28, 2025
Abstract
Artificial
Intelligence
(AI)
tools
are
becoming
increasingly
popular
in
education,
providing
teachers
with
new
opportunities
to
enhance
student
learning
experience
and
build
upon
existing
teaching
practices.
This
study
employs
a
co-design
approach
develop
AI-integrated
materials
explore
their
implementation
elementary
classrooms.
In
collaboration
researchers,
twenty-five
in-service
co-designed
engaging,
age-appropriate
lesson
plans
aligned
the
national
curriculum
adaptable
diverse
classroom
needs.
Qualitative
analysis
of
teachers’
focus
groups
(n
=
25)
highlighted
approach's
role
empowering
teachers,
fostering
sense
ownership,
encouraging
knowledge-sharing,
promoting
enthusiasm.
A
pilot
conducted
four
classrooms
62
students
evaluated
through
quantitative
survey
data
62).
Findings
indicate
that
found
AI-supported
enjoyable,
meaningful,
particularly
deepening
understanding
literacy
concepts.
paper
presents
provides
insights
for
practitioners
researchers
on
future
AI-powered
offering
potential
directions
further
research.
Язык: Английский