British Educational Research Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 19, 2024
Abstract
The
adoption
of
generative
artificial
intelligence
(GAI)
tools,
such
as
ChatGPT,
in
higher
education
presents
numerous
opportunities
and
challenges.
use
GAI
technologies
various
fields,
including
education,
has
accelerated
technology
develops.
widely
used
language
model
developed
by
OpenAI,
become
progressively
more
important,
especially
the
field
education.
This
study
employs
acceptance
to
investigate
factors
influencing
employment
ChatGPT
within
sector
Pakistan.
employed
PLS‐SEM
method
for
probing
data
collected
from
368
Pakistani
university
students.
findings
indicate
that
trust
positively
mediates
affiliation
between
self‐efficacy,
actual
use,
information
interaction.
Further,
usefulness
ease
significantly
moderate
association
self‐efficacy
trust.
Educators
must
encourage
students
safely
preserve
their
critical
thinking,
problem‐solving
abilities
creativity
during
assessments.
contributes
understanding
AI
tools
are
educational
settings
provides
insights
administrators
policymakers
aiming
implement
these
effectively.
Problems and Perspectives in Management,
Journal Year:
2025,
Volume and Issue:
23(1), P. 101 - 114
Published: Jan. 15, 2025
One
of
the
main
challenges
in
higher
education
management
is
complexity
resource
optimization
and
increasing
volumes
data,
which
limits
efficiency
accuracy
decision-making.
The
application
artificial
intelligence
can
address
these
issues.The
present
study
aims
to
identify
key
trends,
knowledge
gaps,
opportunities
for
further
research
into
economic
effects
using
ChatGPT
tools
education.
For
this
purpose,
a
systematic
literature
review
was
conducted
screen
scientific
articles
related
topic
indexed
Web
Science
Scopus
from
1986
2024.
A
total
234
were
selected,
all
demonstrating
positive
growth
both
scholarly
output
citation
count.
identified
contributors
on
by
region
(the
United
States,
China,
India).
It
concluded
that
relevant
centers
are
still
at
an
early
stage
their
development.
Based
bibliometric
clusters
formed
co-occurrence
relations,
three
areas
defined:
1)
decision-making;
2)
process
automation
digital
transformation
educational
institutions;
3)
technologies
highlights
education,
including
reducing
administrative
costs,
saving
time
teachers
students,
improving
quality
accessibility
process.
AcknowledgmentsThe
publication
part
“Economic
Basics
Technology
Diffusion
National
Economy
Ukraine
Considering
Best
International
Practices”
(№0124U003482).
Journal of Applied Research in Higher Education,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 13, 2025
Purpose
This
research
paper
investigates
the
utilization
of
artificial
intelligence
(AI)
among
teachers
in
higher
education
(universities
and
colleges)
India
its
impact
on
teaching
activities.
The
study
explores
teachers’
perceptions,
attitudes
factors
influencing
integration
AI
their
practices.
Design/methodology/approach
A
questionnaire-based
survey
was
conducted
involving
500
(university
college)
India.
Data
analysis
included
descriptive
statistics,
exploratory
factor
(EFA),
confirmatory
(CFA)
structure
equation
modeling.
Findings
addresses
expectations
toward
Results
suggest
that
can
potentially
enhance
practices
findings
contribute
to
understanding
adoption
teaching,
providing
insights
for
educational
institutions
policymakers.
Further
is
recommended
validate
results
across
different
regions
academic
settings,
leading
development
strategies
support
systems
successful
implementation
Originality/value
originality
this
lies
investigation
college
It
contributes
existing
literature
by
exploring
AI,
valuable
policymakers
Indian
context.
Contemporary Educational Technology,
Journal Year:
2025,
Volume and Issue:
17(2), P. ep578 - ep578
Published: March 20, 2025
This
investigation
utilized
a
phenomenological
approach
to
investigate
the
experience
of
English
language
educators
in
employing
artificial
intelligence
(AI)
tools
into
learning.
The
study
used
purposive
sampling
and
20
participants
were
interviewed.
data
analysis
was
guided
by
Bronfenbrenner’s
(1979)
ecological
systems
theory,
particularly
microsystem,
exosystem,
macrosystem.
findings
demonstrated
that
AI
enable
interactive,
personalized,
gamified
learning
experiences
enhance
student
engagement,
motivation,
proficiency.
also
emphasized
importance
technological
content
knowledge
pedagogical
improving
instructional
methodologies.
Challenges,
including
AI-related
distractions
reduced
direct
interaction
between
students,
identified,
necessitating
balanced
integration
these
despite
inherent
advantages.
Furthermore,
research
underscored
significance
institutional
support,
which
encompasses
ongoing
professional
development
technical
assistance,
facilitate
successful
education.
British Journal of Educational Technology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 9, 2025
Generative
artificial
intelligence
brings
opportunities
and
unique
challenges
to
nontraditional
higher
education
students,
stemming,
in
part,
from
the
experience
of
digital
divide.
Providing
access
practice
is
critical
bridge
this
divide
equip
students
with
needed
competencies.
This
mixed‐methods
study
investigated
how
interact
ChatGPT
multiple
courses
examined
relationships
between
interactions,
engagement,
self‐efficacy
performance.
Data
were
collected
73
undergraduate
graduate
through
chat
logs,
course
reflections
artefacts,
surveys
interviews.
interactions
analysed
using
four
metrics:
prompt
number,
depth
knowledge
(DoK),
relevance
originality.
Results
showed
that
numbers
(
β
=
0.256,
p
<
0.03)
engagement
0.267,
0.05)
significantly
predicted
performance,
while
did
not.
Students'
DoK
r
0.40,
0.01)
0.42,
positively
correlated
Text
mining
analysis
identified
distinct
interaction
patterns,
‘strategic
inquirers’
demonstrating
performance
than
‘exploratory
more
sophisticated
follow‐up
questioning.
Qualitative
findings
revealed
most
first‐time
users
who
initially
resistance,
they
developed
growing
acceptance.
Still,
tended
use
sparingly
and,
even
then,
as
only
a
starting
point
for
assignments.
The
highlights
need
targeted
guidance
engineering
AI
literacy
training
help
leverage
effectively
higher‐order
thinking
tasks.
Practitioner
notes
What
already
known
about
topic
Nontraditional
face
education,
such
limited
technological
access.
emergence
generative
tools
presents
both
addressing
educational
disparities.
Existing
studies
on
implementation
predominantly
focus
traditional
students.
paper
adds
Empirical
evidence
metrics
(prompt
DoK,
originality).
Distinct
patterns
their
relationship
outcomes.
among
Implications
and/or
policy
Need
explicit
instruction
skill
thinking.
Importance
providing
technology
self‐paced
learning
resources
Value
developing
comprehensive
addresses
tool
capabilities
limitations.
