Let Us Not Squander the Affordances of LLMs for the Sake of Expedience: Using Retrieval Augmented Generative AI Chatbots to Support and Evaluate Student Reasoning
Journal of Chemical Education,
Journal Year:
2024,
Volume and Issue:
101(11), P. 4847 - 4856
Published: Oct. 15, 2024
The
use
of
large
language
model
Generative
AI
(GenAI)
systems
by
students
and
instructors
is
increasing
rapidly,
there
little
choice
but
to
adapt
this
new
situation.
Many,
not
all,
are
using
GenAI
for
homework
assignments,
which
means
that
we
need
provide
equitable
access
all
can
support
enhance
their
learning.
At
the
same
time,
think
carefully
about
just
what
want
teaching
learning
look
like
as
become
readily
available.
Here
propose
"business
usual"
a
responsible
option.
Although
chatbots
answer
questions,
produce
summaries
content,
make
process
education
more
efficient,
scant
evidence
such
time
saving
effective,
indeed,
it
important
allow
circumvent
or
undermine
process.
availability
so-called
Retrieval
Augmented
(RAG)
allows
us
expand
expect
know
do,
1)
supporting
in
design
complex
tasks
(that
can,
example,
elicit
three-dimensional
(3DL)),
2)
they
reason
through
scaffolded
tasks,
3)
evaluating
student
responses,
individually
aggregate.
We
present
examples
each
these
affordances
with
associated
training
materials
bot
personas,
along
caveats
use.
Language: Английский
The Dawn of Generative Artificial Intelligence in Chemistry Education
Journal of Chemical Education,
Journal Year:
2024,
Volume and Issue:
101(8), P. 2957 - 2959
Published: Aug. 13, 2024
The
emergence
of
generative
artificial
intelligence
has
precipitated
a
wide
range
predictions
for
its
impact
on
science
and
the
teaching
learning
science.
Chemists
chemistry
educators
have
been
exploring
possibilities
this
new
technology,
essentially
as
soon
it
was
broadly
released
use.
Because
technology
is
rapidly
developing,
insights
that
can
be
gained
from
work
early
adopters
investigators
play
particularly
important
role
in
shaping
future
how
education
adapts
to,
perhaps
embraces,
technology.
This
Special
Issue
provides
snapshot
at
relatively
moment
evolution
use
chemistry.
interplay
between
development
implementation
classroom
will
always
important,
but
seldom
more
so
than
stages
work.
set
articles
presented
(https://pubs.acs.org/page/jceda8/vi/genai2024)
shows
robust
options
use,
potentially
misuse,
help
guide
those
interested
finding
ways
to
enhance
emerging
opportunities
afforded
by
tool.
Language: Английский
Bilişim Alanında Öğrenim Gören Öğrencilerin Yapay Zekâ Okuryazarlığı Düzeylerinin Ölçülmesi
Journal of Computer and Education Research,
Journal Year:
2025,
Volume and Issue:
13(25), P. 30 - 53
Published: Feb. 26, 2025
Yapay
zekâ
(YZ)
terimi
resmi
olarak
John
McCarthy
tarafından
1956
yılında
Dartmouth
Konferansı'nda
tanıtılmış
ve
yapay
zekânın
gelişiminde
önemli
bir
dönüm
noktası
olmuştur.
Günümüzde
sağlık,
finans,
eğitim
gibi
sektörlerde
etkin
uygulamalarının
kullanımı
giderek
önem
kazanmaktadır.
YZ
Okuryazarlığı,
okuryazarlık
biçimine
verilen
isimdir.
Çalışmada
nicel
araştırma
yöntemi
kullanılmış
olup
okuryazarlığı
ölçeği
kullanılmıştır.
amaç
bilişim,
bilgisayar
mühendisliği
vb.
alanda
öğrenim
gören
öğrencilerin
düzeylerinin
ölçülmesidir.
Örneklem
Sivas
ilinde
bilişim
ile
ilgili
211
üniversite
öğrencisidir.
okuryazarlığının
çeşitli
özelliklere
göre
farklılaşıp
farklılaşmadığını
tespit
etmek
amacıyla
Mann-Whitney
U
testi,
Kruskal
Wallis
testi
testler
uygulanmıştır.
Çalışma
sonucunda
tüm
bölümlerde
okuyan
yüksek
olduğu,
cinsiyet,
sınıf
bölüm
değişkenlerinin
üzerinde
anlamlı
etkiye
sahip
olmadığı
edilmiştir.
Fakat
bilgi
teknoloji
araçları
projelerde
görev
alma
olduğu
görülmüştür.
Integrating Generative AI in Chemistry Education: Enhancing Career-Ready Writing Skills in Pharmaceutical Science
Journal of Chemical Education,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 28, 2025
Language: Английский
Students’ Perspectives on the Application of a Generative Pre-Trained Transformer (GPT) in Chemistry Learning: A Case Study in Indonesia
Ananta Ardyansyah,
No information about this author
Agung Budhi Yuwono,
No information about this author
Sri Rahayu
No information about this author
et al.
Journal of Chemical Education,
Journal Year:
2024,
Volume and Issue:
101(9), P. 3666 - 3675
Published: Aug. 7, 2024
The
rapid
development
of
artificial
intelligence
(AI)
has
transformed
chatbots
into
generative
pre-trained
transformers
(GPTs)
capable
performing
various
tasks.
use
GPTs
is
expanding
to
learning,
including
natural
sciences
like
chemistry.
can
assist
students
in
understanding
and
solving
chemistry
problems.
However,
there
are
potential
negative
impacts
using
GPTs.
This
study
aims
explore
Indonesian
university
students'
perspectives
on
for
learning.
research
used
a
case
method
collected
data
through
questionnaires,
interviews,
GPT
usage
logs,
which
were
then
analyzed
thematically.
revealed
that
learning
due
perceived
usefulness,
ease
use,
emotional
aspects,
benefits,
social
influence.
Students
appreciate
answers
being
easy
understand,
detailed,
reliable,
fairly
accurate,
fast,
helpful.
also
recognize
be
unreliable,
difficult
not
always
potentially
unethical.
evaluate
responses
by
stimulating
thoughts,
confirming
answers,
integrating
with
other
sources,
directly
copying
responses,
paraphrasing
before
use.
They
aware
ethical
considerations,
drawbacks,
limitations
associated
Findings
pertaining
motives,
constraints,
the
evaluation
answer
quality
its
utilization
serve
as
indicators
proper
application
educational
contexts.
In
many
countries,
Indonesia,
where
lack
regulations,
concrete
policies
necessary
ensure
integration
education.
Language: Английский
A ChatGPT Assisted Reading Protocol for Undergraduate Research Students Engaging with Biophysics Literature
Marcus Sambar,
No information about this author
Gonzalo R. Vázquez,
No information about this author
Anne V. Vázquez
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 15, 2024
A
major
challenge
for
undergraduate
students
is
reading
scientific
literature.
This
especially
true
in
biophysics,
where
many
of
the
concepts
may
not
have
been
covered
courses.
Students
can
become
overwhelmed,
which
lead
to
less
overall
engagement
with
In
response,
we
developed
a
guided
protocol
that
combines
pre-reading
strategies,
structured
notetaking,
and
ChatGPT
help
clarify
unfamiliar
an
interactive
way.
To
test
protocol,
participants
this
study
were
given
initial
survey
determine
their
experience
After
they
abridged
biophysics
paper
protocol.
The
transcripts
analyzed
using
open
coding
post-study
survey.
We
found
most
did
appear
regularly
engage
literature,
possibly
due
content
barriers
encountered.
Analyzing
transcripts,
observed
asked
definitions,
explanations,
summaries,
simplifications.
Overall,
reported
was
positive
expected
use
future.
From
work,
expect
new
be
way
keep
novice
from
becoming
discouraged
when
papers
them
engaged
current
Language: Английский