Interacting with Computers,
Journal Year:
2012,
Volume and Issue:
24(3), P. 139 - 153
Published: May 1, 2012
Journal
Article
Gender
affordances
of
conversational
agents
Get
access
Sheryl
Brahnam,
Brahnam
*
aCollege
Business
Administration,
Computer
Information
Systems,
Missouri
State
University,
901
S.
National,
Springfield,
MO
65804,
USA
Corresponding
author.
Tel.:
+1
417
873
9979;
fax:
836
6907.
E-mail
addresses:[email protected](S.
Brahnam),
[email protected]
(A.
De
Angeli).
Search
for
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works
by
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author
on:
Oxford
Academic
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Scholar
Antonella
Angeli
bManchester
School,
The
University
Manchester,
UK
Interacting
with
Computers,
Volume
24,
Issue
3,
May
2012,
Pages
139–153,
https://doi.org/10.1016/j.intcom.2012.05.001
Published:
14
April
2012
history
Received:
02
June
2010
Revision
received:
05
March
Accepted:
IEEE Transactions on Learning Technologies,
Journal Year:
2023,
Volume and Issue:
17, P. 12 - 31
Published: Sept. 12, 2023
As
Education
constitutes
an
essential
development
standard
for
individuals
and
societies,
researchers
have
been
exploring
the
use
of
Artificial
Intelligence
(AI)
in
this
domain
embedded
technology
within
it
through
a
myriad
applications.
In
order
to
provide
detailed
overview
efforts,
article
pays
particular
attention
these
developments
by
highlighting
key
application
areas
data-driven
AI
Education;
also
analyzes
existing
tools,
research
trends,
as
well
limitations
role
can
play
Education.
particular,
reviews
various
applications
including
student
grading
assessments,
retention
drop-out
predictions,
sentiment
analysis,
intelligent
tutoring,
classroom
monitoring,
recommender
systems.
The
provides
bibliometric
analysis
highlight
salient
trends
over
nine
years
(2014–2022)
further
description
tools
platforms
developed
outcome
efforts
For
articles
from
several
top
venues
are
analyzed
explore
domain.
shows
sufficient
contribution
different
parts
world
with
clear
lead
United
States.
Moreover,
students'
evaluation
observed
most
widely
explored
application.
Despite
significant
success,
we
aspects
education
where
alone
has
not
contributed
much.
We
believe
such
is
expected
baseline
future
International Journal of Intelligent Networks,
Journal Year:
2023,
Volume and Issue:
4, P. 68 - 73
Published: Jan. 1, 2023
Artificial
intelligence
(AI)
has
been
increasingly
impacting
various
aspects
of
our
daily
lives,
including
education.
With
the
rise
digital
technologies,
higher
education
also
experiencing
a
transformation,
and
AI
playing
crucial
role
in
this
transformation.
The
application
rapidly
increasing,
with
focus
on
improving
student
engagement,
increasing
efficiency,
enhancing
learning
experience.
use
is
not
without
its
challenges
ethical
considerations.
One
biggest
ensuring
accuracy
fairness
algorithms,
as
well
avoiding
potential
biases.
In
addition,
there
are
concerns
about
privacy
data,
for
to
replace
human
instructors
support
staff.
Another
challenge
that
used
way
supports
overall
goals
education,
such
promoting
critical
thinking
creativity,
rather
than
just
being
tool
automating
tasks
efficiency.
article,
we
will
discuss
ways
which
applied
where
proposed
model
cognitive
capability
students
compared
other
existing
algorithms.
It
be
shown
shows
better
performance
models.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2009,
Volume and Issue:
364(1535), P. 3559 - 3565
Published: Nov. 2, 2009
Anthropomorphic
virtual
agents
can
serve
as
powerful
technological
mediators
to
impact
motivational
outcomes
such
self-efficacy
and
attitude
change.
Such
anthropomorphic
be
designed
simulated
social
models
in
the
Bandurian
sense,
providing
influence
'role
models'.
Of
particular
value
is
capacity
for
designing
optimized
a
target
audience
context.
Importantly,
visual
presence
appearance
of
have
major
on
motivation
affect
regardless
underlying
technical
sophistication.
Empirical
results
different
instantiations
agent
are
reviewed
both
autonomous
avatars
that
represent
user.
Journal of Computer Assisted Learning,
Journal Year:
2007,
Volume and Issue:
23(3), P. 220 - 234
Published: Jan. 12, 2007
Abstract
The
potential
of
emotional
interaction
between
human
and
computer
has
recently
interested
researchers
in
human–computer
interaction.
instructional
impact
this
learning
environments
not
been
established,
however.
This
study
examined
the
emotion
gender
a
pedagogical
agent
as
companion
(PAL)
on
social
judgements,
interest,
self‐efficacy,
learning.
Two
experiments
investigated
separately
effects
PAL's
expression
empathetic
response.
Experiment
1
focused
(positive
vs.
negative
neutral)
(male
female)
with
sample
142
male
female
college
students
literacy
course.
2
response
(responsive
non‐responsive)
56
pre‐service
teachers.
Overall,
results
yielded
main
PAL
dependent
variables.
In
particular,
had
positive
learner
interest
self‐efficacy;
recall.
findings
imply
that
digital
could
be
utilized
to
optimize
students'
motivation
Educational Psychology Review,
Journal Year:
2017,
Volume and Issue:
30(2), P. 397 - 429
Published: July 29, 2017
Computer-based
scaffolding
plays
a
pivotal
role
in
improving
students'
higher-order
skills
the
context
of
problem-based
learning
for
Science,
Technology,
Engineering
and
Mathematics
(STEM)
education.
The
effectiveness
computer-based
has
been
demonstrated
through
traditional
meta-analyses.
However,
meta-analyses
suffer
from
small-study
effects
lack
studies
covering
certain
characteristics.
This
research
investigates
STEM
education
Bayesian
meta-analysis
(BMA).
Specifically,
several
types
prior
distribution
information
inform
simulations
studies,
this
generates
accurate
effect
size
estimates
six
moderators
(total
24
subcategories)
related
to
characteristics
utilization.
results
BMA
indicated
that
significantly
impacted
(g
=
0.385)
cognitive
outcomes
Moreover,
according
use
scaffolding,
varied
with
range
small
moderate
values.
result
contributes
an
enhanced
understanding
within
learning.
