Google Gemini as a next generation AI educational tool: a review of emerging educational technology
Smart Learning Environments,
Год журнала:
2024,
Номер
11(1)
Опубликована: Май 23, 2024
Abstract
This
emerging
technology
report
discusses
Google
Gemini
as
a
multimodal
generative
AI
tool
and
presents
its
revolutionary
potential
for
future
educational
technology.
It
introduces
features,
including
versatility
in
processing
data
from
text,
image,
audio,
video
inputs
generating
diverse
content
types.
study
recent
empirical
studies,
practice,
the
relationship
between
landscape.
further
explores
Gemini’s
relevance
endeavors
practical
applications
technologies.
Also,
it
significant
challenges
ethical
considerations
that
must
be
addressed
to
ensure
responsible
effective
integration
into
Язык: Английский
Exploring the Prospects and Perils of Integrating Artificial Intelligence and ChatGPT in Academic and Research Libraries (ARL): Challenges and Opportunity
Journal of Web Librarianship,
Год журнала:
2024,
Номер
unknown, С. 1 - 22
Опубликована: Авг. 13, 2024
An
attempt
is
made
to
find
out
the
scope
of
AI
and
AI-powered
Chatbot
(ChatGPT)
in
academic
research
libraries,
its
possible
challenges
opportunities,
how
it
makes
a
difference.
In
this
study,
we
found
that
chatbots
have
potential
revolutionize
libraries
by
promoting
specialized
librarianship
reshaping
services
thinking
outside
box,
enabling
search
retrieval
information
based
on
personal
recommendations.
These
advancements
might
raise
standards
offer.
However,
include
user
dependability
AI,
which
may
affect
users'
reading
habits,
lack
skilled
staff
underdeveloped
nations,
need
for
high-quality
data.
ChatGPT
also
faces
biases,
ethical
implications,
an
inability
understand
tone
or
context,
leading
misunderstandings
poor
communication.
To
effectively
utilize
as
library
customer
tool,
must
manage
their
data,
monitor
ChatGPT's
responses,
consider
limitations.
Язык: Английский
Accuracy and reliability of large language models in assessing learning outcomes achievement across cognitive domains
AJP Advances in Physiology Education,
Год журнала:
2024,
Номер
48(4), С. 904 - 914
Опубликована: Ноя. 8, 2024
The
advent
of
artificial
intelligence
(AI),
particularly
large
language
models
(LLMs)
like
ChatGPT
and
Gemini,
has
significantly
impacted
the
educational
landscape,
offering
unique
opportunities
for
learning
assessment.
In
realm
written
assessment
grading,
traditionally
viewed
as
a
laborious
subjective
process,
this
study
sought
to
evaluate
accuracy
reliability
these
LLMs
in
evaluating
achievement
outcomes
across
different
cognitive
domains
scientific
inquiry
course
on
sports
physiology.
Human
graders
three
LLMs,
GPT-3.5,
GPT-4o,
were
tasked
with
scoring
submitted
student
assignments
according
set
rubrics
aligned
various
domains,
namely
"Understand,"
"Analyze,"
"Evaluate"
from
revised
Bloom's
taxonomy
"Scientific
Inquiry
Competency."
Our
findings
revealed
that
while
demonstrated
some
level
competency,
they
do
not
yet
meet
standards
human
graders.
Specifically,
interrater
(percentage
agreement
correlation
analysis)
between
was
superior
compared
two
grading
rounds
each
LLM,
respectively.
Furthermore,
concordance
LLM
mostly
moderate
poor
terms
overall
scores
pre-specified
domains.
results
suggest
future
where
AI
could
complement
expertise
but
underscore
importance
adaptive
by
educators
continuous
improvement
current
technologies
fully
realize
potential.
Язык: Английский