A proposed framework for achieving higher levels of outcome-based learning using generative AI in education
Educational Technology Quarterly,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 18, 2025
Generative
artificial
intelligence
(GAI)
systems
like
ChatGPT
have
gained
popularity
due
to
their
ability
generate
human-like
text.
Educators
are
exploring
how
leverage
these
facilitate
and
promote
learning
develop
skills
abilities.
This
study
proposes
a
conceptual
framework
aimed
at
facilitating
outcome-based
through
the
utilization
of
GAI
tools.
The
overall
aim
this
is
provide
way
for
integrating
support
education
paradigms
focused
on
objectives
by
aiding
cognitive
development
according
Bloom's
taxonomy.
paper
introduces
called
ACE
Framework
(AI-Enhanced
Cognition
Outcome-Based
Learning),
which
organizes
integration
emerging
large
language
models
advanced
analysis,
synthesis,
evaluation,
as
defined
taxonomy,
from
basic
knowledge
recall
complex
conceptualization.
To
empirically
assess
effectiveness
unaided
GAI-assisted
approaches,
an
analysis
real-world
scenarios
was
conducted,
where
20
college
students
created
open-ended
written
solutions.
For
every
response
set,
human
raters
classified
shown
abilities
into
levels.
In
structured
exercises,
participants
learnt
about
problems
using
such
GPT-4
framed
analytical
answers.
Comparative
benchmarking
reveals
significant
enhancements
in
average
ratings
predominant
comprehension
(3.35)
top-tier
synthesis
(4.85)
after
AI
scaffolding
based
methodology.
With
six
reaching
highest
evaluation
tier,
guided
interactions
showcase
excellent
learning.
Despite
limitations
sample
size
assessment
techniques
requiring
further
investigation,
results
align
with
priorities
outcome-driven
prioritizing
higher-order
cognition
--
substantiating
incorporation
potential.
Язык: Английский
Generative AI Integration in Leadership Practice: Foundations, Challenges, and Opportunities
Journal of Leadership Studies,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 14, 2025
Integrating
generative
artificial
intelligence
(GenAI)
into
leadership
practice
represents
a
pivotal
transformation
in
organizational
dynamics,
presenting
unprecedented
opportunities
and
complex
challenges.
The
current
article
develops
comprehensive
conceptual
framework
grounded
sociotechnical
systems
adaptive
theories
to
guide
future
research
practice.
By
carefully
examining
leader‐follower
relationships,
decision‐making
processes,
learning
patterns,
we
demonstrate
how
GenAI
reshapes
traditional
paradigms
while
raising
critical
ethical
considerations.
Our
analysis
reveals
four
key
areas
demanding
attention:
AI
implementation,
trust
dynamics
between
human
agents,
literacy
development
across
levels,
integrating
with
existing
structures
governance
policies.
emphasizes
the
crucial
balance
technological
advancement
human‐centered
leadership,
particularly
highlighting
Human
Interaction
lens
can
responsible
adoption.
identifying
specific
questions
each
domain,
provides
roadmap
for
scholars
practitioners
navigating
evolving
landscape
of
AI‐enhanced
leadership.
Язык: Английский
The Impact of Virtual Reality and Augmented Reality in TNE Learning
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 359 - 382
Опубликована: Апрель 4, 2025
The
transformative
effects
of
virtual
reality
(VR)
and
augmented
(AR)
technology
on
learning
in
transnational
education
(TNE)
are
examined
this
abstract.
Through
the
use
VR
AR,
TNE
institutions
may
improve
student
engagement,
replicate
real-world
settings,
promote
cultural
immersion
while
serving
a
diverse
body
that
spans
geographic
boundaries.
Personalized
opportunities,
cost-effective
solutions,
collaborative
chances
made
possible
by
combination
which
tackles
particular
problems
encountered
settings.
Additionally,
these
technologies
support
ethical
thinking,
innovative
teaching
strategies,
experiential
learning,
all
advance
global
education.
Clear
objectives,
high-quality
content
investments,
sufficient
training
advised
for
successful
implementation.
Maximizing
advantages
AR
requires
collaboration
with
industry
partners
as
well
ongoing
assessment
iteration.
Язык: Английский