Interactive Learning Environments,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: Dec. 17, 2024
The
rapid
development
of
artificial
intelligence
(AI)
technology,
while
empowering
higher
education,
has
also
introduced
anxiety
and
stress
among
university
students.
This
study
examines
the
impact
AI
on
motivated
learning
moderating
role
self-efficacy.
Data
were
collected
from
387
valid
questionnaires
at
a
in
China,
hypotheses
analyzed
using
SPSS
25.0
PROCESS
plug-in.
results
indicate
that
anxiety,
encompassing
dimensions
learning,
configuration,
job
replacement,
sociotechnical
blindness,
positive
self-efficacy
positively
moderates
relationship
between
learning.
Specifically,
enhances
effect
contributes
to
existing
literature
offers
insights
for
application
education
practice.
Journal for STEM Education Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 11, 2024
Abstract
This
paper
explores
pre-service
life
sciences
teachers’
behavioral
intentions
toward
integrating
artificial
intelligence
into
teaching.
Despite
the
growing
influence
of
AI
in
education,
there
is
limited
understanding
factors
affecting
willingness
to
integrate
These
could
inform
policy-making
and
educational
practice
for
adoption
The
current
research
aimed
identify
key
determinants
influencing
adopt
followed
a
qualitative
approach
involving
semi-structured
interviews
with
10
purposively
selected
teachers
South
Africa.
Thematic
analysis
was
employed
analyze
data.
findings
reveal
that
are
shaped
by
multiple
within
framework
Theory
Planned
Behavior.
Attitudes
integration
education
included
themes
such
as
pedagogical
benefits,
practical
limitations,
philosophical
concerns.
Behavioral
beliefs
encompassed
advantages
disadvantages
adoption.
Subjective
norms
highlighted
inter-generational
differences,
administrative
issues,
stakeholder
roles,
resource
constraints.
Normative
organizational
authority,
peer
influence,
parental
concerns,
policy
funding.
have
important
implications
practice,
highlighting
need
targeted
training
allocation
effective
education.
Disciplinary and Interdisciplinary Science Education Research,
Journal Year:
2025,
Volume and Issue:
7(1)
Published: March 31, 2025
Abstract
Advancements
in
artificial
intelligence
(AI),
particularly
generative
AI
models
such
as
ChatGPT,
offer
transformative
opportunities
to
enhance
educational
practices
STEM
disciplines.
Thermodynamics,
a
fundamental
subject
engineering
education,
presents
significant
challenges
due
its
abstract
nature
and
common
misconceptions.
This
study
investigates
the
effectiveness
of
integrating
ChatGPT
supplemental
pedagogical
tool,
guided
by
constructivist
inquiry-based
approach
using
Constructivist
Inquiry-Based
Learning
Prompting
(CILP)
framework,
conceptual
understanding
address
misconceptions
an
introductory
thermodynamics
course
for
first-year
Moroccan
students.
A
quasi-experimental
design
was
used,
with
120
students
equally
divided
into
control
experimental
groups.
The
group
received
traditional
instruction,
whereas
ChatGPT-assisted
instruction.
Conceptual
measured
pre-
post-tests,
while
student
perceptions
acceptance
were
collected
via
weekly
surveys.
Results
showed
that
significantly
outperformed
group,
exhibiting
greater
improvements
reduction
qualitative
misconceptions,
related
entropy
internal
energy.
However,
some
quantitative
persisted,
underscoring
ChatGPT’s
limitations
advanced
reasoning
tasks,
problem-solving,
numerical
calculations.
Students
reported
high
satisfaction
usability
instructional
support.
Moreover,
targeted
use
rather
than
frequent
reliance,
correlated
optimal
learning
outcomes.
These
findings
underscore
potential
education
within
inquiry-based,
environments
provide
evidence
effective
integration
tools
improve
outcomes,
resource-constrained
settings.
Computers and Education Open,
Journal Year:
2024,
Volume and Issue:
6, P. 100190 - 100190
Published: May 29, 2024
The
integration
of
artificial
intelligence
into
education
has
emerged
as
a
promising
avenue
for
enriching
teaching
and
learning
experiences.
Nevertheless,
the
successful
implementation
in
educational
contexts
hinges
upon
various
factors,
one
which
is
perspective
instructors.
With
this
mind,
study
aimed
to
examine
perspectives
536
instructors
STEM
non-STEM
disciplines
regarding
AI
integration.
respondents'
thoughts,
opinions,
concerns
advantages,
disadvantages
challenges
were
gathered
through
an
online
questionnaire
featuring
both
closed
open-ended
questions.
Additionally,
series
semi-structured
interview
sessions
conducted
with
cohort
collect
qualitative
quantitative
data.
findings
revealed
that
expressed
positive
attitudes
toward
technologies
education.
However,
notable
differences
responses
also
identified
relation
perceived
capabilities
limitations
within
contexts.
results
further
elucidated
spectrum
opinions
on
benefits
(e.g.,
scalability
tirelessness),
drawbacks
deepfake
technology
comfort-seeking
behavior),
potential
disillusionment
espionage)
associated
concluded
by
discussing
implications
these
offering
recommendations
effective
ethical
classrooms.
Education and Information Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 8, 2025
Abstract
The
electricity-related
topics
in
the
secondary
school
science
curriculum
are
near-universal
standards
across
countries.
We
prepared
a
three-stage
robotic
STEM
program
incorporating
coding,
integrated
(in
topic
of
electricity),
engineering
processes,
and
their
educational
structures.
investigated
impact
on
attitudes
toward
career
interests,
which
most
important
psychological
triggers
learning.
conducted
our
research
using
comparative
quasi-experimental
design
with
pretest-posttest
experimental
control
groups
73
students
7th
grade
public
school.
While
group
completed
performances
by
building
running
circuits
activities
robotics-STEM
program,
without-coding
version
these
activities.
Our
findings
unveil
an
exciting
prospect:
integrating
block-based
robotics,
processes
into
electricity
topics,
we
can
significantly
enhance
diversify
student
electricity.
Moreover,
finding
reveals
that
applied
positively
affects
students’
interests
compared
to
group.
By
showcasing
benefits
thorough
about
fifty
activities,
this
study
has
potential
advance
education
skillfully
several
disciplines,
including
(such
as
understanding
sensors
electrical
circuits),
technology,
creating
designs
assembling
hardware
components),
mathematics
(using
algorithms
data
analysis).
