Integrating Artificial Intelligence (AI) Into Adult Education
International Journal of Adult Education and Technology,
Год журнала:
2024,
Номер
15(1), С. 1 - 15
Опубликована: Май 7, 2024
This
conceptual
article
provides
a
comprehensive
overview
of
the
current
status
Artificial
Intelligence
(AI)
integration
and
its
influence
on
adult
education.
It
discusses
generative
AI
technologies
their
potential
applications
in
education
settings,
examines
opportunities
ethical
challenges
associated
with
integrating
AI,
insights
into
emerging
trends.
The
consists
five
sections.
introduction
rationale
as
to
why
should
be
integrated
Second,
it
describes
evolving
such
Large
Language
Models
(LLM)
for
personalized
learning,
Machine
Learning
Algorithms
adaptive
learning
systems,
Virtual
Reality
(VR)
Augmented
(AR)
immersive
experiences,
Chatbots
virtual
assistants
learner
support
guidance,
Data
Analytics
(DLA)
tracking
progress
performance
Section
three
explores
implications
education,
including
academic
honesty
integrity,
data
privacy,
algorithmic
bias.
In
section
four,
trends
future
directions
are
discussed.
final
considers
policy
makes
recommendations
educators
working
develop
AI-enriched
Язык: Английский
The effectiveness of ChatGPT in assisting high school students in programming learning: evidence from a quasi-experimental research
Interactive Learning Environments,
Год журнала:
2025,
Номер
unknown, С. 1 - 18
Опубликована: Янв. 16, 2025
Programming
education
gains
importance
in
high
schools
as
the
digital
age
progresses.
However,
openness
and
adaptability
of
programming
languages
present
unique
challenges
for
instructional
practices
compared
to
other
subjects.
While
traditional
tools
offer
limited
support,
ChatGPT,
a
groundbreaking
Generative
Artificial
Intelligence,
has
shown
impressive
capabilities
natural
language
processing
knowledge
generation.
This
study
explored
whether
ChatGPT
can
transcend
existing
limitations
improve
through
quasi-experimental
approach
with
post-hoc
interviews
school
classrooms.
A
total
153
students
participated,
results
from
MANCOVA
ANCOVA
analyses
revealed
that
using
reported
lower
levels
flow
experience,
self-efficacy,
learning
achievement
those
utilizing
conventional
methods.
Post-hoc
further
felt
ChatGPT's
effectiveness
facilitating
their
fell
short
initial
expectations.
These
findings
highlight
need
carefully
consider
complexity
tasks
students'
cognitive,
affective,
interactive
dimensions
when
integrating
AI
technologies
into
education.
We
discuss
implications
provide
thorough
pedagogical
strategies,
specifically
guidance–practice–transformation
(G–P–T)
mode,
maximize
potential
support
education,
emphasizing
balance
technological
innovation
best
practices.
Язык: Английский
Andragogy as a Theoretical Framework for AI Integration in Higher Education
Advances in educational technologies and instructional design book series,
Год журнала:
2025,
Номер
unknown, С. 71 - 108
Опубликована: Янв. 17, 2025
This
chapter
examines
the
integration
of
artificial
intelligence
(AI)
and
andragogy
in
higher
education,
focusing
on
how
adult
learning
principles
can
guide
ethical
use
AI
technologies.
It
provides
an
overview
andragogical
principles,
discusses
AI's
impact
learning,
presents
strategies
for
aligning
with
approaches.
Key
areas
include
enhancing
self-directed
supporting
experiential
problem-centered
fostering
critical
thinking
AI.
The
explores
practical
implementation
strategies,
educator
training,
considerations
such
as
data
privacy
algorithmic
bias.
also
emerging
technologies
their
potential
andragogy,
identifies
further
research,
preparing
education
AI-enhanced
future.
Throughout,
importance
balancing
technological
innovation
sound
practices
is
emphasized,
providing
insights
educators,
administrators,
policymakers
education.
Язык: Английский
Technological Frontiers in Education: Exploring the Impact of AI and Immersive Learning
Springer series in adaptive environments,
Год журнала:
2025,
Номер
unknown, С. 291 - 328
Опубликована: Янв. 1, 2025
Язык: Английский
The Impact of Generative AI on Education
Advances in educational technologies and instructional design book series,
Год журнала:
2025,
Номер
unknown, С. 29 - 64
Опубликована: Фев. 14, 2025
Education
is
utilizing
generative
artificial
intelligence
more
and
more,
especially
with
models
like
GPT,
BERT,
other
neural
networks.
Through
the
automatic
generation
of
information,
individualized
learning
resources,
responses
to
student
inquiries,
these
technologies
are
transforming
traditional
teaching
methods,
course
design,
interactions
learners.
Despite
fact
that
tools
have
potential
drastically
change
nature
education,
it
crucial
comprehend
their
existing
uses,
advantages,
drawbacks.
The
purpose
this
chapter
present
a
thorough
analysis
current
scholarly
research
on
application
AI
in
education
across
all
academic
levels.
Язык: Английский
Generative AI Capability Maturity Model for Online and Adult Learning: Introducing the EMERALD-GenAI-CMM-OAL Framework
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
Download
This
Paper
Open
PDF
in
Browser
Add
to
My
Library
Share:
Permalink
Using
these
links
will
ensure
access
this
page
indefinitely
Copy
URL
DOI
Язык: Английский
Intelligent Tutors for Adult Learning at Scale: A Narrative Review
Опубликована: Июль 9, 2024
Intelligent
tutors
and
tutoring
systems
(ITS)
are
increasingly
common
in
educational
contexts.
These
tools
have
considerable
potential
for
scaling
highly
effective
1:1
learner-instructor
interactions.
To
date,
most
studies
investigating
ITS
implementation
engaged
non-adult
(i.e.,
child,
adolescent,
or
traditional
college
student)
populations,
however,
their
adult
learning
is
recognized.
We
performed
a
selected,
narrative
review
of
ITS,
asked
two
guiding
questions:
(1)
What
the
primary
domains
which
has
been
deployed
to
promote
lifespan
learning?
(2)
How
specifically
within
each
domain?
Fifteen
papers
were
three
themes
emerged:
Adult
literacy,
post-secondary/professional
education,
(3)
lifelong
career-related
development.
Exemplar
from
theme
selected
presented/discussed
more
detail.
The
results
discussed
terms
current
state
literature
on
learning,
how
such
can
improve
access
personalized
support
at
scale.
Limitations
future
directions
discussed.
Язык: Английский
Determinants of cognitive skills in adulthood: Age cohort patterns
International Journal of Lifelong Education,
Год журнала:
2024,
Номер
unknown, С. 1 - 22
Опубликована: Авг. 16, 2024
The
current
study
examines
change
and
stability
of
cognitive
skills
across
life
stages
delves
into
the
factors
contributing
to
changes
in
skills.
Specifically,
we
examine
associations
between
individual
characteristics
contextual
a
large
sample
German
adults
aged
16–65
years
(N
=
2,430;
PIAAC-L
data).
Across
all
age
cohorts,
were
predicted
mainly
by
person's
educational
background,
but
they
also
associated
with
related
socialisation,
lifestyle
personality.
findings
indicate
that
specific
influence
at
different
stages.
For
example,
personality
was
solely
two
younger
whereas
impacts
most
pronounced
middle
cohort.
Язык: Английский
Linear regression model to predict the use of artificial intelligence in experimental science students
International Electronic Journal of Mathematics Education,
Год журнала:
2024,
Номер
20(1), С. em0807 - em0807
Опубликована: Дек. 20, 2024
This
study
builds
on
the
increasing
relevance
of
technology
integration
in
higher
education,
specifically
artificial
intelligence
(AI)
usage
educational
contexts.
Background
research
highlights
limited
exploration
AI
training
programs,
particularly
within
Latin
America.
has
become
increasingly
pivotal
practices,
influencing
development
competencies
various
disciplines,
including
experimental
sciences.
aimed
to
describe
correlation
between
professional
AI,
usage,
and
digital
resources
among
students
sciences
education
program
at
National
University
Chimborazo.
Methodologically,
a
quantitative
approach
was
employed,
involving
structured
survey
distributed
459
students.
Data
analysis
conducted
using
multiple
regression
models
establish
predictive
insights
into
usage.
A
linear
model
developed
predict
these
The
revealed
significant
correlations
competencies,
resources.
highlighted
that
both
are
predictors
These
findings
underscore
importance
developing
providing
access
enhance
effective
use
practices.
Limitations
future
directions
discussed.
Язык: Английский
Where is the reflexive ‘I’ in the Elements of AI?
International Journal of Lifelong Education,
Год журнала:
2024,
Номер
43(6), С. 664 - 681
Опубликована: Авг. 11, 2024
AI's
opportunities
and
potential
high-risk
consequences
for
individuals
societies
render
mass
AI
literacy
imperative.
MOOCs
are
one
effective
conduit
its
provision.
However,
remain
epistemologically
one-sided
when
lifelong
learning
steadily
shifts
towards
a
reflexive
epistemology
whereby
subjectivities
expert
knowledge
intersect,
problematising
the
latter's
relevance
to
agents
disregarding
first.
Addressing
underexplored
epistemologies
of
kindled
by
transformative
in
late
modernity,
this
paper
examines
how
design
MOOC
Elements
prompts
reflexivity
over
AI.
A
Bloom's
taxonomy-based
qualitative
content
analysis
categorised
16
objectives
25
assessments
according
cognitive
processes
dimensions
they
serve.
Results
showed
adequate
but
delayed
instruction
benign
constructive
misalignment,
with
assessment
hitting
higher
wider
than
objectives.
Following
fleshing
out
results,
their
discussion
leads
EAI-specific
general
enhancements
identity-based
catering
scale
individuality.
Язык: Английский