Knowledge (Co‐)Construction Among Artificial Intelligence, Novice Teachers, and Experienced Teachers in an Online Professional Learning Community
Journal of Computer Assisted Learning,
Год журнала:
2025,
Номер
41(2)
Опубликована: Фев. 8, 2025
ABSTRACT
Background
There
are
various
challenges
to
teachers'
use
of
generative
artificial
intelligence
(GenAI)
for
professional
learning.
Although
GenAI
is
expected
play
a
transformative
role
in
learning,
its
impact
on
them
remains
subtle.
Objectives
Guided
by
community
practice,
this
paper
examines
the
integration
into
an
online
learning
(OPLC)
facilitate
knowledge
co‐construction
among
GenAI,
novice
teachers
and
experienced
teachers.
Methods
We
used
mixed‐methods
approach
that
included
topic
modelling
sentiment
analysis
quantitative
side
content
qualitative
data.
Results
identified
top
three
latent
themes
OPLC's
discourse—(1)
generating
instructional
material,
(2)
assessment,
(3)
pedagogy—and
six
distinct
teacher‐GenAI
interaction
profiles.
For
teachers,
these
‘engaged
AI
explorers’,
‘selective
satisfiers’
‘silent
strategists’;
we
discerned
‘careful
critics’,
‘reflective
realists’
‘cautious
contemplators’.
Novice
exhibited
technological
adaptivity,
while
ones
engaged
reflectively
with
focused
more
students,
proved
effective
at
providing
materials.
Conclusions
The
findings
demonstrate
how
can
contribute
co‐construction,
as
facilitator
rather
than
replacement
human
interaction.
Язык: Английский
Deployment of Generative AI in Academic Research among Higher Education Students: A Bibliometric Approach
Abubakar Barikisu Omeneke,
Safukova N.N.,
Anifowose Olufemi Oriola
и другие.
International Journal of Academic Research in Business and Social Sciences,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 14, 2025
This
study
investigates
the
role
and
impact
of
generative
artificial
intelligence
(AI)
in
academic
research
using
a
comprehensive
bibliometric
approach.
A
dataset
515
documents,
retrieved
from
Scopus
database
spanning
2017
to
2025,
was
analyzed
various
tools,
including
Vosviewer,
Excel,
Biblioshiny,
R
Studio.
The
search
string
("Generative
AI
AND
research")
guided
systematic
exploration
literature.
analysis
reveals
significant
increase
scholarly
attention
toward
AI,
highlighting
its
transformative
potential
across
disciplines.
Vosviewer
facilitated
network
visualization,
identifying
key
thematic
clusters
collaboration
patterns
among
authors,
institutions,
countries.
Excel
provided
detailed
trend
analysis,
illustrating
growth
trajectory
publication
dynamics
over
specified
period.
Biblioshiny
Studio
enabled
deeper
insights
into
citation
patterns,
evolution,
hotspots.
Consequently,
this
identifies
trends
within
2025
analysis.
It
explores
how
technologies,
such
as
ChatGPT,
have
influenced
interdisciplinary
methodologies
Social
Sciences,
Computer
Science,
Engineering.
Additionally,
it
examines
countries
research,
opportunities
foster
global
innovation
while
addressing
ethical
concerns
algorithmic
biases.
Key
findings
suggest
that
has
become
pivotal
tool
advancing
methodologies,
fostering
innovation,
enhancing
productivity.
However,
also
challenges
concerns,
biases,
need
for
sustainable
practices
leveraging
AI-driven
technologies.
contributed
growing
body
knowledge
on
academia
by
offering
overview
future
directions.
serves
valuable
resource
scholars
practitioners
aiming
understand
harness
capabilities
research.
Язык: Английский
Factors Influencing AI-Assisted Thesis Writing in University: A Pull-Push-Mooring Theory Narrative Inquiry Study
Data & Metadata,
Год журнала:
2025,
Номер
4, С. 203 - 203
Опубликована: Фев. 10, 2025
This
study
aims
to
examine
the
factors
that
motivate,
attract,
and
anchor
students
adopt
AI
tools
during
writing
process
in
context
of
push-pull-mooring
(PPM)
theory.
Utilizing
a
narrative
inquiry
research
approach,
this
employed
observation,
in-depth
interviews,
document
analysis
for
data
collection.
The
identified
key
through
reflexive
thematic
methods.
Key
pull
include
generation
credit
authorship
contributions
integration
into
academic
writing.
encompass
topic
selection,
dynamic
literature
review,
questions,
proposal
conceptualization,
designing
methods,
analysis,
revising
drafts,
managing
references.
incorporates
active
learning,
self-regulated
learning
(SRL),
inquiry-based
overcoming
linguistic
challenges.
push
reference
inaccuracies,
confidentiality
research,
overreliance
on
AI.
Three
anchoring
principles
guide
ethical
incorporation
thesis
writing:
institutional
policies,
augmentation,
comprehensive
contextual
approach.
But
study's
limitations
small
sample
size
ten
from
single
university,
which
affects
generalizability
results.
Язык: Английский
‘‘If ChatGPT can do it, where is my creativity?’’ Generative AI boosts performance but diminishes experience in a creative writing task
Computers in Human Behavior Artificial Humans,
Год журнала:
2025,
Номер
unknown, С. 100140 - 100140
Опубликована: Март 1, 2025
Язык: Английский