Computers and Education Artificial Intelligence,
Год журнала:
2024,
Номер
7, С. 100260 - 100260
Опубликована: Июнь 26, 2024
Artificial
intelligence
(AI)
has
far-reaching
implications
for
education.
Within
organizations,
especially
companies,
human
resource
development
(HRD)
enables
and
supports
learning
processes
among
employees.
In
a
similar
way
to
teachers
lecturers,
HRD
professionals
play
an
important
role
in
implementing
AI
HRD.
However,
there
is
lack
of
quantitative
empirical
evidence
about
this
process.
The
aim
paper
shed
light
on
how
position
themselves
with
respect
AI.
concept
Davenport
Kirby's
augmentation
strategies,
adapted
HRD,
act
as
the
theoretical
background.
core
idea
lies
human-AI
collaboration.
our
study,
we
empirically
validate
strategies
predict
extent
which
pursue
five
strategies:
step
in,
up,
forward,
aside,
narrowly.
predictors
are
grouped
into
three
areas:
attitudes,
competence
beliefs,
goal
orientation.
(N
=
330)
from
German-speaking
countries
sample.
Covariance
based
structural
equation
modeling
(CB-SEM)
partial
least
squares
(PLS-SEM)
method
data
analysis.
findings
reveal
crucial
impact
cognitive
attitudes
towards
digitalization
anxiety
when
pursuing
strategies.
beliefs
predictor
collaboration
General
digital
can
only
indirectly
Implications
theory
practice
discussed.
Computers and Education Artificial Intelligence,
Год журнала:
2024,
Номер
6, С. 100225 - 100225
Опубликована: Апрель 18, 2024
Artificial
intelligence
technologies
are
rapidly
advancing.
As
part
of
this
development,
large
language
models
(LLMs)
increasingly
being
used
when
humans
interact
with
systems
based
on
artificial
(AI),
posing
both
new
opportunities
and
challenges.
When
interacting
LLM-based
AI
system
in
a
goal-directed
manner,
prompt
engineering
has
evolved
as
skill
formulating
precise
well-structured
instructions
to
elicit
desired
responses
or
information
from
the
LLM,
optimizing
effectiveness
interaction.
However,
research
perspectives
non-experts
using
through
how
literacy
affects
prompting
behavior
is
lacking.
This
aspect
particularly
important
considering
implications
LLMs
context
higher
education.
In
present
study,
we
address
issue,
introduce
skill-based
approach
engineering,
explicitly
consider
role
non-experts'
(students)
their
skills.
We
also
provide
qualitative
insights
into
students'
intuitive
behaviors
towards
systems.
The
results
show
that
higher-quality
skills
predict
quality
LLM
output,
suggesting
indeed
required
for
use
generative
tools.
addition,
certain
aspects
can
play
targeted
adaptation
within
We,
therefore,
argue
integration
educational
content
current
curricula
enable
hybrid
intelligent
society
which
students
effectively
tools
such
ChatGPT.
International Journal of Educational Technology in Higher Education,
Год журнала:
2024,
Номер
21(1)
Опубликована: Март 18, 2024
Abstract
The
influence
of
Artificial
Intelligence
on
higher
education
is
increasing.
As
important
drivers
for
student
retention
and
learning
success,
generative
AI-tools
like
translators,
paraphrasers
most
lately
chatbots
can
support
students
in
their
processes.
perceptions
expectations
first-years
related
to
have
not
yet
been
researched
in-depth.
same
be
stated
about
necessary
requirements
skills
the
purposeful
use
AI-tools.
research
work
examines
relationship
between
first-year
students’
knowledge,
attitudes
Analysing
data
634
revealed
that
towards
AI
significantly
explains
intended
tools.
Additionally,
perceived
benefits
AI-technology
are
predictors
perception
AI-robots
as
cooperation
partners
humans.
Educators
must
facilitate
competencies
integrate
into
instructional
designs.
a
result,
processes
will
improved.
Technology Knowledge and Learning,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 4, 2024
Abstract
One
trending
theme
within
research
on
learning
and
teaching
is
an
emphasis
artificial
intelligence
(AI).
While
AI
offers
opportunities
in
the
educational
arena,
blindly
replacing
human
involvement
not
answer.
Instead,
current
suggests
that
key
lies
harnessing
strengths
of
both
humans
to
create
a
more
effective
beneficial
experience.
Thus,
importance
‘humans
loop’
becoming
central
tenet
AI.
As
technology
advances
at
breakneck
speed,
every
area
society,
including
education,
needs
engage
with
explore
implications
this
phenomenon.
Therefore,
paper
aims
assist
process
by
examining
impact
education
from
researchers’
practitioners'
perspectives.
The
authors
conducted
Delphi
study
involving
survey
administered
N
=
33
international
professionals
followed
in-depth
face-to-face
discussions
panel
researchers
identify
trends
challenges
for
deploying
education.
results
indicate
three
most
important
impactful
were
(1)
privacy
ethical
use
AI;
(2)
trustworthy
algorithms;
(3)
equity
fairness.
Unsurprisingly,
these
also
identified
as
challenges.
Based
findings,
outlines
policy
recommendations
agenda
closing
gaps.
