Learning and Instruction,
Journal Year:
2024,
Volume and Issue:
93, P. 101977 - 101977
Published: July 22, 2024
Successful
feedback
should
provide
learning
goals,
evaluate
current
performance
and
indicate
improvement
strategies.
Furthermore,
can
only
positively
affect
student
if
students
actively
engage
with
it.
Thus,
it
is
necessary
to
consider
the
reception
process
in
addition
information
itself.
This
study
compares
effects
of
different
types
on
writing
lower
secondary
English
as
a
foreign
language
(EFL)
digital
environment.
Behavioral
engagement
was
considered
mediator
effect.
Participants
were
N
=
338
eighth-
ninth-grade
EFL
(54.7%
female)
enrolled
lower-secondary
education
within
Swiss
school
system.
We
conducted
web-based
randomized-controlled
experiment,
which
randomly
assigned
four
conditions
receiving
varying
amounts
rubric-based
information.
used
log
data
(time
page)
proxy
for
their
behavioral
feedback.
Even
though
improved
substantially
across
conditions,
there
no
differential
type
performance.
However,
learners
who
received
individual
spent
more
time
feedback,
especially
those
low
prior
achievement.
Mediation
analysis
showed
that
effectiveness
mediated
by
an
indicator
students'
engagement.
Advantages
over
general
observed
function
finding
implies
be
research.
International Journal of Educational Technology in Higher Education,
Journal Year:
2023,
Volume and Issue:
20(1)
Published: Nov. 10, 2023
Abstract
Generative
artificial
intelligence
(GenAI)
can
be
used
to
author
academic
texts
at
a
similar
level
what
humans
are
capable
of,
causing
concern
about
its
misuse
in
education.
Addressing
the
role
of
GenAI
teaching
and
learning
has
become
an
urgent
task.
This
study
reports
results
survey
comparing
educators’
(n
=
68)
university
students’
158)
perceptions
on
appropriate
use
writing
process.
The
included
representations
user
prompts
output
from
ChatGPT,
chatbot,
for
each
six
tasks
process
(brainstorming,
outlining,
writing,
revising,
feedback,
evaluating).
Survey
respondents
were
asked
differentiate
between
various
uses
these
tasks,
which
divided
student
teacher
use.
Results
indicate
minor
disagreement
students
teachers
acceptable
tools
process,
as
well
classroom
institutional-level
lack
preparedness
GenAI.
These
imply
need
explicit
guidelines
professional
development
educational
contexts.
contribute
evidence-based
integration
learning.
Learning and Instruction,
Journal Year:
2024,
Volume and Issue:
91, P. 101894 - 101894
Published: March 11, 2024
Offering
students
formative
feedback
on
their
writing
is
an
effective
way
to
facilitate
development.
Recent
advances
in
AI
(i.e.,
ChatGPT)
may
function
as
automated
evaluation
tool,
increasing
the
amount
of
receive
and
diminishing
burden
teachers
provide
frequent
large
classes.
We
examined
ability
generative
(ChatGPT)
feedback.
compared
quality
human
by
scoring
each
provided
secondary
student
essays.
scored
degree
which
(a)
was
criteria-based,
(b)
clear
directions
for
improvement,
(c)
accurate,
(d)
prioritized
essential
features,
(e)
used
a
supportive
tone.
200
pieces
human-generated
AI-generated
same
whether
ChatGPT
differed
whole
sample,
compositions
that
overall
quality,
native
English
speakers
learners
comparing
descriptive
statistics
effect
sizes.
Human
raters
were
better
at
providing
high-quality
all
categories
other
than
criteria-based.
humans
showed
differences
based
essay
quality.
Feedback
did
not
vary
language
status
or
AI.
Well-trained
evaluators
higher
ChatGPT.
Considering
ease
generating
through
its
still
be
useful
some
contexts,
particularly
early
drafts
instances
where
well-trained
educator
unavailable.
Contemporary Educational Technology,
Journal Year:
2023,
Volume and Issue:
15(4), P. ep450 - ep450
Published: June 19, 2023
Research
shows
that
artificial
intelligence
(AI)
technology
positively
influences
students’
writing
skills,
but
this
area
has
yet
to
be
touched
by
Indonesian
researchers.
This
study
aims
map
perception,
obstacles,
and
recommendations
for
optimizing
use
of
AI
in
teaching
academic
Indonesian.
article
focuses
on
a
case
three
senior
high
schools
Central
Java,
Indonesia.
It
employs
quantitative
qualitative
data.
The
researcher
collected
the
data
using
questionnaires
presented
with
Likert
scale,
followed
an
in-depth
interview
through
mobile
instant
messaging
interview.
Findings
show
(1)
AI-based
learning
tools
help
students
do
research,
especially
planning
step,
identify
develop
topics,
as
well
drafting
paper
draft,
(2)
are
deemed
flexible
accessibility
despite
not
being
able
cover
all
necessities
required
process,
(3)
interested
class
so
process
will
boring.
Although
been
used
classes,
have
impacted
quality
papers
indicators.
There
several
obstacles
AI,
namely
need
more
available
feature,
editing
text,
contrast,
features
still
optimized.
These
optimization
tools,
which
adding
edit
including
spelling,
diction,
sentence
structure,
enhancing
literacy
explore
leverage
existing
optimally.
research
accommodate
possible
coverage
checking
originality
accuracy
written
product
assisted
could
become
focus
future
Reading Research Quarterly,
Journal Year:
2020,
Volume and Issue:
55(S1)
Published: Aug. 31, 2020
Abstract
Science
has
greatly
enhanced
what
we
know
about
reading
and
writing.
Drawing
on
this
knowledge,
researchers
have
proffered
recommendations
for
how
to
teach
these
two
literacy
skills.
Although
such
are
aimed
at
closing
the
gap
between
research
practice,
they
often
fail
take
into
account
reciprocal
relation
that
exists
Writing
writing
instruction
improve
students’
vice
versa.
Theory
evidence
support
presented,
implications
scientific
study
of
writing,
policy,
practice
offered,
including
proposal
sciences
need
be
better
integrated.
Journal of Computer Assisted Learning,
Journal Year:
2021,
Volume and Issue:
38(2), P. 599 - 620
Published: Dec. 13, 2021
Abstract
Background
Automated
Writing
Evaluation
(AWE)
systems
to
aid
writing
learning
and
instruction
in
primary
secondary
education
are
growing
increasingly
popular.
However,
their
effectiveness
is
hardly
known.
We
conducted
a
systematic
review
focusing
on
the
effects
of
these
providing
feedback
students
school
settings.
Objectives
Our
goal
was
identify
characterize
AWE
tested
last
20
years
for
Grades
1–12
examine
impact
text
quality
other
writing‐related
outcomes.
Methods
The
followed
PRISMA
guidelines.
identified
eight
studies
reporting
six
1659
11–17
age.
Results
conclusions
supported
usefulness
instruction.
Except
one,
all
showed
positive
effect
automated
at
least
one
measure.
integration
into
more
extensive
instructional
programs,
amount
practice
provided
students,
type
control
groups,
role
teachers
factors
influencing
students'
Relevance
generally
value
teaching/learning
process
writing.
A
closer
look
conditions
which
put
suggested
that
they
particularly
effective
when
embedded
comprehensive
programs
ample
opportunities.
Findings
from
this
expand
knowledge
as
valuable
tools
enhance
Journal of Adolescent & Adult Literacy,
Journal Year:
2023,
Volume and Issue:
67(3), P. 186 - 195
Published: Sept. 26, 2023
Abstract
As
artificial
intelligence
(AI)
technologies
continue
to
advance,
their
integration
into
secondary
and
postsecondary
education
offers
a
multitude
of
opportunities
for
adolescent
adult
learners.
In
this
article,
we
delve
the
advantages
integrating
AI
literacy
education,
emphasizing
its
capacity
enhance
writing
skills,
provide
assistance
students
with
disabilities,
foster
critical
thinking
media
abilities,
also
tackle
challenges
associated
biases,
misinformation,
an
overdependence
on
tools.
This
article
examples
recommendations
assist
educators
in
guiding
learners
toward
ethical
responsible
usage
AI.
Frontiers in Artificial Intelligence,
Journal Year:
2023,
Volume and Issue:
6
Published: July 3, 2023
Introduction
Adaptive
learning
opportunities
and
individualized,
timely
feedback
are
considered
to
be
effective
support
measures
for
students'
writing
in
educational
contexts.
However,
the
extensive
time
expertise
required
analyze
numerous
drafts
of
student
pose
a
barrier
teaching.
Automated
evaluation
(AWE)
tools
can
used
individual
based
on
advances
Artificial
Intelligence
(AI)
technology.
A
number
primary
(quasi-)experimental
studies
have
investigated
effect
AWE
performance.
Methods
This
paper
provides
meta-analysis
effectiveness
tools.
The
literature
search
yielded
4,462
entries,
which
20
(
k
=
84;
N
2,
828)
met
pre-specified
inclusion
criteria.
moderator
analysis
impact
characteristics
learner,
intervention,
outcome
measures.
Results
Overall,
results
three-level
model
with
random
effects
show
medium
g
0.55)
automated
significant
heterogeneity
data
indicates
that
use
cannot
understood
as
single
consistent
form
intervention.
Even
though
some
moderators
we
found
substantial
differences
sizes,
none
subgroup
comparisons
were
statistically
significant.
Discussion
We
discuss
these
findings
light
practice
give
recommendations
future
research.
Discover Education,
Journal Year:
2024,
Volume and Issue:
3(1)
Published: Jan. 10, 2024
Abstract
This
paper
reflects
on
an
educator's
perceived
experiences
and
observations
the
complex
process
of
‘passage’
when
students
transitioning
from
high
school
into
their
first-year
post-secondary
education
often
struggle
to
adapt
academic
writing
standards.
It
relies
literature
further
explore
such
a
process.
Written
communication
has
become
increasingly
popular
in
formal
professional
settings,
stressing
need
for
effective
skills.
The
development
online
tools
aiding
is
not
new
concept,
but
software
known
as
ChatGPT,
may
add
many
challenges
faced
over
years.
students'
struggles
they
navigate
different
courses
seeking
skills
structured
written
requirements.
COVID-19
pandemic
forced
recent
virtual
education,
uncertain
its
effectiveness
developing
graduates
require
academia.
Many
unknowns
exist
using
ChatGPT
contexts,
especially
writing.
can
generate
texts
independently,
raising
concerns
about
plagiarism
impact
critical
thinking
hopes
contribute
pedagogical
discussions
current
surrounding
use
artificial
intelligence
technology
how
better
support
beginner
writers
Journal of Asian Public Policy,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 26
Published: June 6, 2024
The
revolutionary
development
of
generative
artificial
intelligence,
especially
large
language
model
(LLM)
chatbots
like
ChatGPT,
has
brought
disruptive
changes
to
society,
in
the
field
higher
education,
particularly
domain
writing.
Prior
studies
have
primarily
examined
opportunities
and
challenges
that
LLM
Chatbots
bring
education
writing
from
a
theoretical
perspective.
However,
empirical
on
how
effectively
responsibly
integrate
into
learning
evaluate
their
effectiveness
are
still
limited.
To
address
this
gap,
present
study
introduces
approach
termed
LLM-powered
Chatbot-assisted
argumentative
(LCAW)
support
cultivation
university
students'
abilities.
A
total
61
Chinese
students
two
classes
were
invited
participate
quasi-experimental
with
different
methods
as
intervention
measures,
student
perceptions
gathered
through
interviews.
results
show
proposed
LCAW
method
significantly
improves
performance
terms
content
quality
expression,
positively
impacts
providing
personalized
feedback
enhancing
motivation.
This
contributes
by
proposing
an
effective
for
integrating
AI
instruction
offering
insights
curriculum
design
policies
enhance
GenAI.