thigh高校学术队伍在学科评估中的价值分析(最终英文版)

2021年1月21日发(作者：curiosity)
The value analysis of faculty on assessment of disciplines

Li Junfeng

Qiu Wanhua
School of Economics & Management , Beihang university, Beijing
，
100191


Abstract:
Assessment
of
disciplines,
which
is
to
help the construction of disciplines at universities, is an
authoritative
assessment
carried
out
by
Educational

Ministry.
As
the
faculty
is
one
of
the
important
indicators
in
the
assessment
process,
more
and
more
universities has become more concerned about the value
of the construction
of
faculty on the development of its
disciplines.
This
article
aims
to
provide
suggestions
to
the development of disciplines through the value analysis
of faculty on the assessment.


Keywords:
assessment
of
disciplines


faculty


value analysi

2 The basic faculty information analysis
The average data of basic information about faculty
at
the
universities
in
top
five
disciplines
are
displayed
from Figure 2.1 to Figure 2.3, in
which the numbers of
academicians,
extraordinary
experts,
professors,
associate
professors
and
lecturers,
and
the
numbers
of
people
who
own
doctor
’
s
degree
are
given.
Sample
disciplines are
material sciences and engineering(MSE),
management sciences and engineering(MgSE), computer
sciences(CS),
mechanical
engineering(ME).
In
addition,
to
identify
the
importance
of
academicians
and
extraordinary experts, they are called high level talents in
this paper.
1 Introduction

The
assessment
of
national
leading
disciplines
carried
out
by
Chinese
educational
ministry
reflects
the
development of a discipline in universities in China. It is
obtained from the comparison of discipline construction
among universities that own it, and is based on the status
qua
and
characteristics
of
higher
education
at
this
stage
in
China.
This
assessment
plays
an
active
role
in
knowing
the
development
of
the
discipline,
helping
building
the
discipline
and
identifying
the
gap
between
world leading disciplines and ours. It also improves
the
distribution
of
asset.
Among
the
four
leading
indicators
in the assessment process, it is important for us to know
which one contributes more to the final assessment result
then
providing
us
feasible
suggestions
to
a
better
construction of the discipline.
At the present, a lot of researches about methods of
discipline
assessment
are
seen
while
few
researches
are
about
the
relationship
between
assessment
results
and
assessment
indicators
in
this
field.
This
article,
by
analyzing
numbers
and
age
distributions
of
professor,
associate professor and lecturer in universities especially
the
group
of
academicians
and
excellent
experts,
has
researched
the
correlation
between
situations
of
faculty
construction
and
discipline
assessment
results
thus
identifying
the
contributions
from
different
kinds
of
talents in the universities, and offer us a way to quicken
the construction of disciplines. The author has chosen the
disciplines
of
material
sciences
and
engineering,
management
sciences
and
engineering,
computer
sciences
and
engineering,
mechanical
engineering,
mechanics, instrument sciences and engineering, control
sciences and engineering as his research samples for the
reason
that
they
rank
top
five
in
national
leading
disciplines assessment.


1
90
80
70
6 0
50
40
30
20
10
0
8
1
6
9.
8
5
3.
8
4
4.
6
4< br>0
2
3.
8
2
5.
4
1
5
4
0.
6
2
6.
8
1
6.
5
6< br>3.
2
5
3
4
0.
3
3
6.
2
MSE
MgSE
P
r
o
f.
ME
A.
P
r
o
f
CS
L
e
c
t
u
r
e
s
M

Figure 2.1 The statistics of faculty in different disciplines
12
10
8
6
4
2
0
4.
8
6 .
2
5.
4
4.
2
3.
2
2
1.
4
0.
6
2.
2
1.
2
3
26.
8
4.
8
1
1
MSE
MgSE
H
L
F
ME
A
c
CS
E.
E
M
Figure 1.2 the statistics of high level faculty in different
disciplines
1
9
5.
4
200
180
160
140
120
100
80
60
40
20
0
6
4.
2
4
7.
2
1
3
8.
2
1
6
2
1
2
0.
4
8
6.
4
9
3
6< br>7.
8
1
1
4
M
S
E
M
g
S
E
T
M
M
E
P
H.
D
C
S
M

Figure 1.3 The statistics of PH.D faculty in different
disciplines

Looking at Figure 2.1 we see that almost all top five
disciplines
are
equipped
with
prestigous
facultys
which
include
a
certain
number
of
professors
and
associate
professors, indicating the significance of the numbers of
this group of people. Besides, we can see that compared
with disciplines like material science, computer science,
mechanics etc,

management science has less talents in
total,
whatever
from
the
numbers
of
people
who
own
doctor
’
s
degree
or
the
numbers
of
professors,
associate
professors.
It
is
obviously
seen
in
Figure
2.2
that
high
level
talents
plays
an
extremely
important
role
in
the
development
of
a
discipline.
Especially
in
the
field
of
basic displines like material science and mechanics, high
level
talents
have
a
larger
proportion.
Figure
2.3
shows
that the number of people who own doctor
’
s degree has
taken
up
to
70%
of
all,
which
means
talents
with
high
academic degrees occupy a large proportion in faculty s.
From
the
data
shown
above
it
can
be
drawn
that
the
urgent
need for high
level talents at the universities has
become
an
indispensible
part
in
the
development
of
a
univerisity
and
social
progress.
They
are
essential
in
enhancing
the
academic
status
of
a
university,
and
helping them to be more competitive. We can say that the
one who has more high level talents has more authority
in deciding the development of a discipline.


16
14
12
10
8
6
4< br>2
0
35岁以下
36-45
46-55
56-60
6 1岁以上
Prof

Lectures

Figure 3.2 Age distribution of faculty in management
sciences and engineering
30
25
20
15
10
5
0
below 35
36-45
46-55
56-60
over 61
Prof

Lectures

Figure 3.3 Age distribution of faculty in computer sciences
4 0
35
30
25
20
15
10
5
0
below 35
36-45
46-55
56-60
over 61
Prof

Lectures
3 Age distribution analysis

Age
distribution
of
professors,
associate
professors
and lecturers are displayed from Figure 3.1 to Figure 3.3.
Sample disciplines are material sciences and engineering,
management
sciences
and
engineering
and
mechanical
engineering. Age distribution in faculty is also one of the
indicators
in
assessing
the
leading
disciplines.
By
analyzing
the
form
of
age
distribution,
we
can
understand
clearly
about
the
question
like
how
faculty
has
been
constructed,
how
to
realize
the
sustainable
development of faculty and research program. All of this
will offer precious reference to other universities.
45
40
35
30
25
20
15
10
5
0
below 35
36-45
46-55
56-60
over 61

Figure 3.4 Age distribution of faculty in mechanical
engineering
Prof

Lectures

Figure 3.1 Age distribution of faculty in material sciences
and engineering
From
the
Figures
above
we
can
see
that
the
professors
’
ages mainly fall between 36 and 55 years old,
especially between 36 and 45 years old. Professors under
35
years
old
are
rarely
seen
in
each
discipline
except
a
few
excellent
ones.
Further
investigation
shows
that
policies
about
selecting
professors
under
35
years
old
differ
in
each
university.
Professors
above
61
years
old
are distributed variably in each discipline where most of
them work in the filed of mechanics and material science
engineering. We have 13 professors and 10 professors in
mechanics and material science engineering respectively
while the average number for other disciplines is 4.
All
of
these
professors
are
academicians
and
academic
leaders,
which
matches
the
above
mentioned
discovery
that
high
level
talents
are
relatively
intensive
in
basic
disciplines.
Associate
professors
’

ages
are
mainly
under
35
years
old,
or
fall
between
36
and
45
years
old.
Lecturers
’

ages
are
generally
below
35
years
old.
Distributions of other age phrases are barely seen.


4
The
value
analysis
of
discipline
ranking
and faculty factorial indicators


2