A Study on the Interaction among the Competence,
Engagement,
and Job Performance of Professional Teachers in Technical Schools:
A Case Study in Shandong Province China
Wei Zhao SaranaPhotchanachan
Wisut Wangworawut
By
Amornteb Intasorn
Abstract
The purpose of this
study is to (1) impact of professional teacher engagement on the performance of technical schools. (2) impact of vocational teacher's
ability on the performance of
technical schools and
(3) exploring the
impact professional teacher
engagement and ability on the performance of technical schools. The through
quantitative research, we will combine the two independent hot topics of
engagement and competence in the field of human resources research, with a
focus on studying their impact on job performance. The
data was collected
through a questionnaire
survey from a
technical school in Shandong Province,
China. The sample of 521 participants
provided basic data for this study. The results were as follows:
1. Within a certain
range, excessive engagement may have a negative impact on performance.
2. The positive impact
of competence on performance.
3.
The interaction between engagement and ability has a positive impact on job
performance.
Research’s
objective
1. To
study on the
impact of professional
teacher engagement on the
performance of technical schools.
2. To research on the
impact of vocational teacher's ability on the performance of technical schools.
3.
To exploring the impact professional teacher engagement and ability on
the performance of technical schools
Hypothesis
H1: The engagement of professional teachers in vocational
colleges has an impact on performance.
H2:The competence
of professional teachers
in vocational colleges
has an impact on performance.
H3: Engagement and
ability have a moderating effect on job performance.
Methodology
1. Population and
sample
The research subjects
were teachers from a technical school in Jinan, Shandong Province, China. 521
survey questionnaires were distributed through random sampling, and 521 valid
questionnaires were collected, with an effective recovery rate of 100%.
2.
Research instruments
Use
quantitative research methods to test the hypotheses proposed in this article.
Quantitative research methods allow researchers to collect data that can be used
for objective measurements.
In
this study, the author used statistical methods to determine the impact between
variables. The questionnaire is based on literature review, face-to-face
interviews, and existing authoritative scales both domestically and
internationally. Based on reliability and validity tests, the questionnaire is
revised and improved according to the conceptual framework design
3.
Data analysis
This
study used SPSS and AMOS to collect and analyze data. After collecting data on
independent and dependent variables, conduct differential, descriptive,
correlation, reliability and validity (confirmatory factor analysis,
exploratory factor analysis), and structural equation modeling to validate
research hypotheses and answer research questions.
Results
F
|
F
|
NSEC
|
SE
|
Z
|
P
|
SEC
|
F
|
WQP
|
EMT
|
0.215
|
0.035
|
6.204
|
0.000
|
0.616
|
WPQ
|
WQP
|
CW
|
0.226
|
0.033
|
6.856
|
0.000
|
0.833
|
WPQ
|
EMT
|
CW
|
0.325
|
0.039
|
8.254
|
0.000
|
0.645
|
EMT
|
*Note:
F= Factor
SE=Standard Error (Std. Error)
WPQ=Work Performance Quantity
CW= Competency Workload
NSEC=Non Standard Estimation Coefficient (Coef.)
SEC=Standard Estimation Coefficient (Std. Estimate)
EMT=Engagement Measurement Table
In the factor
covariance matrix in Tables 1, it can be seen that the non-standard estimation
coefficient between the number of job performance and the engagement
measurement table is 0.215, with a standard error of 0.035.The z-value is
6.204, the p-value is 0.000,
and the standard
estimation coefficient is
0.616. This indicates
a significant positive relationship
between the quantity
of job performance
and the engagement measurement
table. Similarly, the non-standard estimation coefficient between the
number of job performance and the workload of competence is 0.226, with a standard
error of 0.033. The z-value is 6.856, the p-value is 0.000, and the standard estimation
coefficient is 0.833. This indicates a significant positive relationship
between the quantity of job performance and the workload of competency.
Secondly, the
non-standard estimation coefficient between the engagement measurement table
and the competency workload is 0.325, with a standard error of 0.039. The z-value is 8.254, the p-value is 0.000, and the standard estimation
coefficient is 0.645. This further indicates a significant positive relationship between the
engagement measurement table and the workload of competency.
Through the
analysis of the factor covariance
matrix, we can
conclude that there is a
significant positive relationship between the quantity of job performance, the
engagement measurement table, and the workload of competency. This series of
relationships reveals the complex internal relationship between engagement,
ability, and job performance, providing important clues for us to better
understand research questions.
The results
of Table 2
indicate that the
hypothesis testing path
coefficient between job engagement
and job performance
is -0.480 (P<0.001). Therefore, the results accepted hypothesis 1:
The engagement of professional teachers in vocational colleges has an impact on
performance.
The results
of Table 2 indicate that the path coefficient between competence and job performance
is 0.355 (P<0.001). The result
accepted hypothesis 2:The competence of
professional teachers in
vocational colleges has
an impact on performance.
The results
of Table 2 indicate that the path coefficient between engagement, ability, and
performance is 0.123 (P<0.001).
The results accepted the
hypothesis 3 : that the interaction
between engagement and
ability has a
positive impact on job
performance.
Conclusions
The hypothesis
test results between
professional teacher engagement
and performance in technical
schools indicate that
professional teacher engagement
in technical schools has a negative impact on performance. That is to
say, within a certain range, excessive teacher engagement may actually affect the
improvement of performance. The situation where employees overwork for a long time is called (Heavy Work
Investment) This refers to the
phenomenon of individuals
dedicating themselves to
their work, maintaining
a strong focus on work tasks, or exhibiting a high level of dedication
to their work.