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ABSTRACT
Intelligent
Tutoring
System
(ITS)
is
an
interdiscipline
which
is
related
to
artificial
intelligence,
computer
science,
cognitive
science,
education
and
psychology,
the
purpose
of
ITS
research
lies
at
providing
student
optimum
teaching
by
means
of
using
computer
programs
to
simulate
excellent
human
teachers,
it
has
great
significance
to
reducing
training
and
education
costs
and
to
improving
teaching
and
study.
There
is
great
prospect
of
ITS
applica
tion
to
primary
education,
secondary
education
and
higher
education.
Domain
knowledge
and
teaching
schedule
are
main
parts
of
ITS,
this
thesis
describes
the
research
on
knowledge
base
and
course
schedule.
In
knowledge
base,descriptive
knowledge
is
rep
resented
with
frame,
procedure
knowledge
with
rule,
relationship
between
knowledge
with
semantic
net
work,
which
solve
the
problem
of
multi-category
knowledge
representation
in
ITS,
and
enhance
the
capacity
of
domain
knowledge
base;
By
the
techniques
of
multi-knowledge
package
and
two
level
index
to
organize
the
base,
it
is
easy
to
create,
maintain,
modify
and
query
the
base;
Also,
by
separating
the
mechanics
of
knowledge
utilization
from
that
of
management,
the
change
of
base
structure
will
not
cause
great
change
of
knowledge
utilization
mechanics.
In
the
course
schedule,
this
thesis
proposes
an
imple
mentation
of
adaptive
teaching
schedule,
through
automatically
selecting
knowledge
unit,
sorting
teaching
sequence
and
adjusting
knowledge
unit
queue
according
to
the
student^s
behavior,
the
instructional
procedure
is
more
adaptive,
and
the
performance
is
improved.
In
the
light
of
teaching
the
same
knowledge
unit
in
different
ways
for
different
students,
this
thesis
suggests
teaching
operation
methods
by
using
one
operation
representing
one
teaching
action,
it
makes
instruction
more
effective
through
activating
different
operations
for
different
students.
This
thesis
also
proposes
inferring
mechanism,
and
designs
an
inference
engine,
the
inference
engine
runs
according
to
the
rules
input
to
it.
The
work
of
this
thesis
is
a
part
of
junior
chemistry
intelligent
tutoring
system.
The
junior
chemistry
knowledge
base,
the
main
algorithm
in
course
schedule
and
the
inference
engine
have
been
implemented
by
using
MSVC
development
kit.
Keyword
intelligent
tutoring
system,
knowledge
base,
course
schedule.
ii
中国科学院计算技术研究所
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