Building Proficiency in GAI: Key Competencies for Success
Опубликована: Янв. 17, 2025
The
rapid
proliferation
and
adoption
of
generative
Artificial
Intelligence
(GAI)
underscores
its
ease
use.
However,
there
has
been
limited
research
exploring
what
constitutes
proficient
use
GAI
competencies
underpin
it.
In
this
study,
we
adopt
a
grounded
approach
semi-structured
interviews
to
explore
how
twenty-five
expert
users
(all
knowledge
workers)
define,
exemplify,
explain
proficiency.
A
purposive
sampling
was
adopted
with
the
aim
capturing
input
from
experts
range
occupations
sectors
towards
answering
three
questions.
First,
can
identify
characteristics
that
differentiate
(more
effective)
GAI?
Second,
are
seen
underlie
Third,
benefits
associated
more
tools?
Analysis
descriptions
shared
by
revealed
four
aspects
proficiency:
effective
prompting,
informed
responsible
choices,
diversity
use,
complexity
frequency
addition,
following
themes
emerged
analysis
supporting
GAI:
literacy,
domain
expertise,
communication
skills,
metacognition
curiosity
inquisitiveness,
flexibility
adaptability,
diligence,
(in
some
contexts)
information
technology
skills.
More
have
ranging
improved
productivity,
higher
quality
output,
original
work.
By
offering
comprehensive
framework
for
GAI,
in
real-world
experience,
study
guides
further
substantiates
continuing
relevance
human
knowledge,
mindsets
when
working
tools.
Язык: Английский
From Gretel to Strudelcity: Empowering Teachers Regarding Generative AI for Enhanced AI Literacy with CollectiveGPT
Education Sciences,
Год журнала:
2025,
Номер
15(2), С. 206 - 206
Опубликована: Фев. 8, 2025
In
the
era
of
transformative
technologies,
generative
artificial
intelligence
(genAI)
offers
profound
opportunities
and
challenges
for
education.
This
study
explores
development
execution
an
interactive
workshop
designed
to
equip
educators
with
foundational
genAI
literacy.
Using
a
design-based
research
(DBR)
framework,
leverages
interactivity
contextual
relevance
introduce
concepts,
prompting
strategies
ethical
considerations.
Participants
engaged
in
scripted
learning
design,
comparing
human
AI
responses,
exploring
genAI’s
probabilistic
foundations,
context
dependency,
vulnerability
manipulation.
Conducted
across
12
workshops
191
participants
Austria,
this
revealed
significant
improvements
self-perceived
understanding,
70%
reporting
better
grades
post-assessment
evaluations.
Feedback
emphasized
workshop’s
strengths
relevance,
alongside
recommendations
deeper
school-specific
applications.
Scalability
analysis
showed
that
duration
remained
consistent
regardless
group
size,
suggesting
potential
broader
implementation.
The
findings
highlight
effectiveness
design
fostering
critical
literacy,
preparing
critically
evaluate
ethically
integrate
into
pedagogical
practices.
adaptable
model
contributes
discourse
on
professional
AI-enhanced
Язык: Английский
Building Proficiency in Generative AI: Key Competencies for Success
Опубликована: Фев. 20, 2025
The
rapid
adoption
of
generative
Artificial
Intelligence
(GenAI)
underscores
its
ease
use,
yet
research
on
GenAI
proficiency
and
competencies
is
limited.
This
study
uses
semi-structured
interviews
with
twenty-five
expert
users
from
various
sectors
to
explore
proficiency.
aims
answer
three
questions:
What
differentiates
proficient
use?
support
benefits
does
use
provide?
Three
aspects
emerged:
effective
prompting,
informed
responsible
choices,
diverse,
complex
use.
following
were
seen
GenAI:
literacy,
domain
expertise,
communication
skills,
metacognition,
curiosity,
flexibility,
adaptability,
diligence,
IT
skills.
outcomes
improved
productivity,
higher
quality
output,
greater
originality.
framework,
grounded
in
real-world
experience,
the
importance
human
knowledge,
mindsets
for
tools.
Язык: Английский
Unlocking Proficiency: Experts’ Views on the Use of Generative AI
Опубликована: Март 25, 2025
The
rapid
proliferation
and
adoption
of
generative
Artificial
Intelligence
(GenAI)
underscore
its
ease
use.
However,
there
has
been
limited
research
exploring
what
constitutes
proficient
use
GenAI
competencies
underpin
it.
In
this
study,
we
used
semi-structured
interviews
to
explore
how
twenty-five
expert
users
(all
knowledge
workers)
define,
exemplify
explain
proficiency.
A
purposive
sampling
approach
was
adopted
with
the
aim
capturing
input
from
experts
a
range
occupations
sectors
towards
answering
three
questions.
First,
can
identify
characteristics
that
differentiate
(more
effective)
GenAI?
Second,
are
seen
underlie
Third,
benefits
associated
more
tools?
Analysis
descriptions
shared
by
revealed
four
aspects
proficiency:
effective
prompting,
informed
responsible
choices,
diversity
complexity
use,
frequency
addition,
following
themes
emerged
analysis
supporting
GenAI:
literacy,
domain
expertise,
communication
skills,
metacognition
curiosity
inquisitiveness,
flexibility
adaptability,
diligence
(in
some
contexts)
information
technology
skills.
More
have
ranging
improved
productivity,
higher
quality
output
original
work.
By
offering
comprehensive
framework
for
GenAI,
grounded
in
real
world
experience,
study
guides
further
substantiates
continuing
relevance
human
mindsets
when
working
tools.
Язык: Английский
Empowering Preservice Teachers’ AI Literacy: Current Understanding, Influential Factors, and Strategies for Improvement
Computers and Education Artificial Intelligence,
Год журнала:
2025,
Номер
unknown, С. 100406 - 100406
Опубликована: Апрель 1, 2025
Язык: Английский
Examining teachers’ competencies in generative AI-enabled higher education: scale development and validation for empirical research
SN Social Sciences,
Год журнала:
2025,
Номер
5(4)
Опубликована: Март 24, 2025
Язык: Английский
EQUAL AI: A Framework for Enhancing Equity, Quality, Understanding and Accessibility in Liberal Arts through AI for Multilingual Learners
Language, Technology, and Social Media.,
Год журнала:
2024,
Номер
2(2), С. 178 - 203
Опубликована: Ноя. 25, 2024
The
integration
of
artificial
intelligence
(AI)
into
liberal
arts
education
offers
a
transformative
opportunity
to
address
the
diverse
needs
multilingual
and
multicultural
learners.
Consequently,
this
study
introduces
EQUAL
AI
framework
(Enhancing
Equity,
Quality,
Understanding,
Accessibility
in
Liberal
Arts
through
AI),
structured
approach
utilizing
foster
inclusion
innovation
pedagogy.
identifies
five
key
domains:
linguistic
support,
cultural
representation,
creative
expression,
critical
thinking,
collaborative
learning.
Additionally,
underscores
necessity
systemic
particularly
professional
development
programs
that
equip
educators
with
technical
proficiency,
ethical
awareness,
ability
critically
assess
tools.
By
tackling
challenges
such
as
algorithmic
bias,
data
privacy,
digital
divide,
advocates
for
culturally
responsive
policies
inclusive
practices.
envisions
space
equitable
participation
understanding,
positioning
tool
enhance
rather
than
replace
humanistic
pedagogy,
ensuring
its
relevance
technology-driven,
interconnected
world.
Язык: Английский
Restructuring the Landscape of Generative AI Research
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 287 - 334
Опубликована: Сен. 20, 2024
This
Chapter
delves
into
the
impact
of
generative
AI
on
academic
research
and
publishing,
discussing
various
architectures
such
as
Mixture
Experts
(MoE),
Generative
Adversarial
Networks
(GANs),
Variational
Autoencoders
(VAEs),
Pre-trained
Transformers
(GPT).
The
explores
increase
AI-centered
preprints,
their
effects
peer
review,
ethical
considerations
linked
to
them.
peer-review
system's
integrity
is
under
examination,
focusing
challenges
related
AI,
misuse,
redefining
plagiarism.
chapter
potential
tools
improve
review
processes
stresses
importance
institutions
creating
frameworks
for
utilization.
article
concludes
by
evaluating
advantages
drawbacks
in
research,
with
goal
presenting
a
fair
viewpoint
its
revolutionary
capabilities
while
upholding
principles.
Язык: Английский
The Construction of a Network Alliance of Foreign Language Teacher Development Communities in the Age of Artificial Intelligence
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
The
construction
of
a
professional
learning
development
community
for
foreign
language
teachers
is
related
to
the
personal
and
group
college
guarantee
improvement
quality
teaching
in
colleges
universities.
Starting
from
model
networks
network
communities,
this
paper
establishes
teacher
using
mean
drift
clustering
algorithm
optimized
by
Gaussian
kernel
function.
scale-free
BA
utilized
construct
alliance
teachers’
establish
indicators
metrics.
data
communication
platforms
used
as
an
example
analyze
structure
alliance,
comparison
experiment
designed
application
effect
alliance.
When
cluster
defined
5,
sum
squares
79.45%,
greatest.
average
interaction
degree
number
members
was
only
1.853,
six
had
mediated
centrality
above
0.5.
abilities
ordinary
excellent
improved
between
0.36
0.66
points
after
implementing
community.
Making
full
use
intelligent
technology
carry
out
establishment
helps
improve
ability
realize
quality.
Язык: Английский
Artificial Intelligence Literacy Competencies for Teachers Through Self-Assessment Tools
Sustainability,
Год журнала:
2024,
Номер
16(23), С. 10386 - 10386
Опубликована: Ноя. 27, 2024
This
study
investigates
the
key
components
of
teachers’
self-assessed
artificial
intelligence
(AI)
literacy
competencies
and
how
they
align
with
existing
digital
frameworks.
The
rapid
development
AI
technologies
has
highlighted
need
for
educators
to
develop
AI-related
skills
in
order
meaningfully
integrate
these
into
their
professional
practice.
A
pilot
was
conducted
using
a
self-assessment
questionnaire
developed
from
frameworks
such
as
DigiCompEdu
Selfie
Teachers
tool.
aimed
explore
relationships
between
competence
already
defined
through
principal
component
analysis
(PCA).
results
revealed
distinct
competencies,
highlighting
overlaps
some
areas,
example,
resource
management,
while
also
confirming
that
form
separate
essential
category.
findings
show
although
aligns
other
focused
attention
is
required
professionally
AI-specific
competencies.
These
insights
are
elements
future
research
refine
expand
tools
educators,
providing
targeted
programs
ensure
teachers
ready
opportunities
challenges
education.
Язык: Английский