


































Global Research in Higher Education 
ISSN 2576-196X (Print) ISSN 2576-1951 (Online) 

Vol. 6, No. 4, 2023 

www.scholink.org/ojs/index.php/grhe 

1 

 

Original Paper 

Research on Degree Program Construction Platform Scheme 

Based on Data Fusion Thinking 

Hairu Guo
1*

, Shui Ju
2
, Xiaoyan Jia

3
 & Junyi He

4
 

1
 Graduate School, Henan Polytechnic University, Jiaozuo, China 

2
 School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China 

3
 Information Construction and Management Center, Henan Polytechnic University, Jiaozuo, China 

4
 School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China 

*
 Hairu Guo, Graduate School, Henan Polytechnic University, Jiaozuo, China 

 

Received: October 15, 2023    Accepted: October 24, 2023    Online Published: November 9, 2023 

doi:10.22158/grhe.v6n4p1                URL:http://dx.doi.org/10.22158/grhe.v6n4p1 

 

Abstract 

The article analyzes the existing system for evaluating the construction of degree programs, sorts out 

the requirements for various work tasks such as application, assessment, evaluation, and inspection, 

and extracts various data information related to the direction, teachers, students, teaching and 

research, process, quality, and other aspects of degree program construction. On this basis, a degree 

program construction platform scheme was designed using data fusion thinking, taking into account all 

relevant work related to degree program construction, and unifying the management of data related to 

degree program construction. This has a positive promoting effect on the long-term construction and 

efficient management of degree programs, and is also a beneficial attempt to modernize the 

governance system and governance capabilities of the degree programs. 

Keywords 

degree program construction, degree program assessment, degree program evaluation, data fusion 

thinking, platform scheme 

 

 

 

 

 

 

 



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1. Introduction 

At the National Conference on Graduate Education held in July 2020, General Secretary Xi Jinping 

raised graduate education to a new height, pointing out that the development of the Party and the 

country urgently needs to cultivate a large number of high-level talents with both ability and integrity, 

and postgraduate education shoulders the important mission of cultivating high-level talents and 

innovation and creation (2020). Degree programs are the carriers of postgraduate education, which play 

an important role in cultivating innovative talents, improving innovation capabilities, serving economic 

and social development, and promoting the modernization of the national governance system and 

governance capabilities.  

In the process of the construction of degree programs, relevant entities such as national education 

authorities at all levels, degree-granting units and professional institutions for education evaluation 

have carried out a series of special work such as authorization review, qualification assessment, and 

level evaluation. Due to the different tasks and requirements related to the construction of various 

degree programs, the large amount of data filled in and the high degree of similarity, a unified degree 

program construction status monitoring platform is built to uniformly manage the data related to the 

construction of degree programs, so as to improve the efficiency of degree program construction. 

Li Changbo et al. (2015) have carried out relevant research on the construction of degree program 

self-assessment system under the perspective of big data, which has a certain reference role in making 

full use of evaluation data for the efficient construction of degree programs. Sun Qingping (2021) 

thought and practiced the construction of graduate education management system in the era of big data, 

and proposed strategies such as establishing a unified standard database and enhancing the integration 

of the system in the face of diversified digital methods, diversified education data, and comprehensive 

education quality evaluation. Zhang Xiang et al. (2016) have made useful explorations in the 

normalization of degree program quality information monitoring based on big data, and realized data 

screening and integration, mining and analysis, and feedback and utilization. 

However, there is little research on the overall consideration of the existing degree program 

construction evaluation tasks and the construction of a comprehensive data fusional degree program 

information platform scheme, this paper comprehensively sorts out the data requirements of various 

tasks, and designs a data fusional platform scheme that can make full use of the relevant data of degree 

programs, so as to lay a good foundation for building a related platform in the future. 

 

 

 

 

 

 



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2. Evaluation System for the Construction of Degree Programs 

The degree program carries the various functions of postgraduate education, and the internal 

construction mainly includes four tasks: academic team, discipline direction, discipline culture, and 

resource platform, and the external performance mainly includes talent training, scientific research, 

social service, and discipline reputation. The existing degree program construction evaluation system 

(2020) includes degree authorization review (application), degree program special qualification 

assessment, degree program periodic qualification assessment, discipline evaluation (equivalent to 

academic degree program level evaluation), professional degree level evaluation, degree program 

special inspection, degree program dynamic adjustment, Double First-Class discipline construction, etc., 

involving government departments (the Academic Degrees Committee of the State Council, the 

Ministry of Education, and provincial degree authorities), social institutions (degree centers of the 

Ministry of Education, etc.) and various postgraduate training units. 

In this system, there are not only degree authorization reviews carried out in accordance with the 

application standards to determine whether degree programs can be accessed, but also dynamic 

adjustment or even forced withdrawal of degree programs according to evaluation standards; There are 

not only various evaluations to test the construction quality level of degree programs from different 

angles, but also special inspections that focus on the quality of process construction; There are not only 

government-led, compulsory participation, inspection and training quality, and bottom-line 

qualification assessment, but also evaluation carried out by professional institutions, which is voluntary 

participation, reflect strength, highlight the level of characteristics; There are both special qualification 

assessments for new degree programs authorized after three years, and periodic qualification 

assessments every six years for degree programs. All kinds of work have their own emphasis, serving 

different needs, playing an important role in the construction of degree programs and the quality 

assurance of graduate education from different angles, together constitute a complete degree program 

evaluation system. 

 

3. Data Related to the Construction of Degree Programs 

Degree authorization review, degree program special qualification assessment, degree program periodic 

qualification assessment, discipline evaluation (equivalent to academic degree program level 

evaluation), professional degree level evaluation, degree program special inspection and other 

relational work need to fill in the data involved in the discipline direction, faculty team, talent training, 

scientific research, condition guarantee, etc. The content is similar, but each has its own emphasis, the 

workload is large, and the form is different.  

If the data is collected separately for each work, the collection work is complicated, and will cause 

great data redundancy. It is also not easy to analyze the construction status of degree programs from a 

large amount of data. If the data collection requirements of each work can be analyzed scientifically 



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and reasonably, and a data collection platform based on data fusion thinking can be established, the 

workload of filling in data can be greatly reduced, and at the same time, the collected data can be 

cleaned and analyzed, and the potential hidden features can be explored through analysis and diagnosis, 

which can achieve the purpose of obtaining the most information with the least data, and can pay 

attention to the actual state of each degree program at every moment, so that the initial data generates 

value to support the scientific decision-making and effective management of the degree program by the 

training unit. 

By combing the index system of degree authorization review, special qualification assessment, periodic 

qualification assessment, discipline evaluation, professional degree level evaluation, special inspection 

and other work related to degree program construction, it is found that although the collected 

information is not identical, it is found that although it is not identical, it has a great degree of similarity. 

A comparison of the indicator systems for each work is shown in Table 1. 

 

Table 1. Comparison of Indicator Systems Related to Degree Program Construction 

Work tasks Indicator system 

Degree 

authorization 

review 

Discipline 

direction and 

characteristics 

Discipline direction 

Discipline 

Characteristics 

Discipline team 

Personnel size 

Personnel structure 

Discipline leaders 

and academic 

backbones 

Talent training 

Culture profile 

Curriculum and Teaching 

Culture quality 

Cultivation environment 

and conditions 

Scientific research 

Academic exchanges 

Support conditions 

Special 

qualification 

assessment 

Objectives and 

standards 

Training goals 

Degree standards 

Discipline direction 

and characteristics 

Teaching staff 

Team structure 

Tutor level 

Moral style 

Talent training 

Graduate admissions and 

degree awarding 

Main curriculum 

Teaching awards 

Results achieved by 

current students 

Students participate in 

academic exchanges at 

home and abroad 

International exchange of 

students 

Employment of graduates 

Scientific research 

Number of scientific 

research Projects and 

scientific research funding 

Scientific research 

achievements and 

transformation 

Publication of academic 

papers 

Cultivation environment 

and conditions 

Academic exchanges at 

home and abroad 

Science and technology 

innovation base 

Instruments and facilities 

Scholarships and grants 

Periodic 

qualification 

assessment 

Objectives and 

standards 

Training goals 

Degree standards 

Basic conditions 

Training direction 

Teaching staff 

Scientific research 

Teaching and 

research support 

Scholarship system 

Talent training 

Enrollment selection 

Ideological and political 

education 

Course teaching 

Mentoring 

Academic training 

Academic exchanges 

Paper quality 

Service contribution 

Scientific and 

technological progress 

Economic development 

Cultural construction 



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Work tasks Indicator system 

Quality assurance 

Construction of study 

style 

Management services 

Employment development 

Discipline 

evaluation 

(Academic 

degree 

program 

level 

evaluation) 

Quality of talent 

training 

Effectiveness of 

ideological and 

political education 

Quality of the 

cultivation process 

Quality of students 

Quality of 

graduates 

Faculty and 

resources 

Teaching staff 

Platform resources 

Level of scientific 

research 

Scientific research results 

(and transformation) 

Scientific research 

projects and awards 

Social service and 

disciplinary reputation 

Social services 

Discipline reputation 

Professional 

degree 

program 

level 

evaluation 

Quality of 

teaching 

Training program 

and characteristics 

Effectiveness of 

ideological and 

political education 

Quality of 

curriculum and 

practical teaching 

Student satisfaction 

Quality of learning 

Learning outcomes 

Student sense of 

acquisition 

Quality of career 

development 

Quality of graduates 

Employer satisfaction 

Service contribution and 

social reputation 

 

Special 

inspections 

Institutional 

construction 

Quality assurance 

system 

construction 

Faculty 

development 

Curriculum 

building 

Classroom teaching 

effectiveness 

Dissertation 

guidance 

Practical training 

Practice base 

Industry mentors 

Selection criteria for 

doctoral supervisors 

The mentoring processes 

The situation of the 

people who cultivate 

virtue 

Mentor support 

Educational effectiveness 

initiatives 

 

It can be seen in Table 1 that the first three of the six basic tasks are government-led, all involving the 

direction and characteristics, faculty and level, student training system and quality, scientific research 

achievement output, support condition construction, etc., and the data can be divided into degree 

program basic information, teacher information, training process information, training quality 

information, scientific research information, construction condition information, etc. The next two level 

evaluations are third-party evaluations, focusing on the quality of talent training and social services, 

and the data can be divided into basic information of degree programs, teacher information, training 

process information, training quality information, scientific research information, student information, 

typical service contribution cases, satisfaction surveys, etc. The special inspection mainly supervises 

and inspects the training process, and the data mainly involves the basic information of degree 

programs, teacher information, training process information, system construction, daily management, 



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industry-education integration information, etc. 

 

4. Data Platform Scheme of the Degree Program Construction 

4.1 Platform Design Ideas 

According to the aforementioned analysis, in the design of the data platform scheme, the data 

requirements of various projects can be coordinated, a data fusion information platform applicable to 

the whole process of degree program construction can be established, and the data can be turned into 

useful information through connection and integration, and finally converted into knowledge and 

generated by action and value through the analysis and diagnosis of the information, so as to realize the 

analysis and diagnosis of the degree program construction status, and support the scientific 

decision-making and effective management of the training unit.  

The use of data fusion can also discover correlations that are unimaginable with experience, and 

through the new perspectives provided by these correlations, relevant data can be applied more 

scientifically and effectively. For example, it is more valuable to evaluate the quality of graduate 

training in the construction of degree programs and focus on studying which practical factors are more 

relevant to improving the quality of graduate training than to spend energy thinking about the reasons 

for the current situation. Because things are always evolving, the environment that previously affected 

the quality of training may not appear in the future, but factors related to the quality of postgraduate 

training are always present. 

Quantitative data and relevant decision-making contexts can also be integrated for analysis. For 

example, in the process of academic team evaluation, analysts and diagnosticians not only need 

quantitative data such as the professional title, academic qualification, age, total number of supervisors 

and the proportion of supervisors with doctoral degrees of the main academic leaders and discipline 

echelons, but also qualitative data such as their academic level, teaching level and teacher style, and 

need to understand these data in the organizational process, organizational structure, and 

decision-maker value. In this way, the situation of providing data and analyzing data is separated from 

decision-making, providing information for reducing uncertainty in the decision-making process and 

improving the effectiveness of decision support. 

4.2 Platform Function Module Design 

4.2.1 Maintenance of Basic Information of Degree Programs 

Maintain degree program information according to the discipline category, first-level (second-level) 

discipline, and professional degree category (field) defined by the state, including code, name, category, 

authorization level (master’s, doctor), authorization time, lead college, support college, person in 

charge, secretary, remarks, etc. 

 

 



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4.2.2 Degree Program Core Data Structure Management 

According to the basic information structure of degree programs filled in by national requirements, 

such as degree program application, special qualification assessment, periodic qualification assessment, 

discipline evaluation, professional degree level evaluation, etc., the basic information fields are refined, 

the information data structure is customized, and the correspondence between the existing data of the 

system (including the data obtained by teachers, teaching, scientific research, platforms, students, etc. 

from other systems in the university according to authority) and the special work data of various degree 

program construction is realized, so as to realize the transformation from the existing basic data to 

various national declarations, The format conversion of the data required for evaluation and other 

requirements is convenient for each degree program to carry out functions such as screening, querying 

statistics, import and export (docking with the national system) and other functions of subsequent 

filling data. 

4.2.3 Management of Degree Program Cultivation Application 

According to the content requirements of the “Profile Form” for degree program application and the 

requirements for cultivation project construction in Henan Province, the degree program secretary fills 

in the report (teachers, teaching and research, platform, students, etc.), on this basis, manually fill in 

other data, form the reported data, according to the authority level review (degree program secretary, 

degree program leader, college leader in charge, college leader, etc.), the administrator can set 

quantitative indicators for each filling content. And calculate the score according to the filling situation 

to achieve performance management.  

4.2.4 Assessment Management of Degree Program Construction 

According to the special qualification assessment, periodic qualification assessment, discipline 

evaluation, professional degree level evaluation, special inspection and other index systems for 

construction management, the page is set in accordance with the requirements of the corresponding 

work, the basic data can be obtained by the existing data in the system through the data format 

conversion in the basic information structure management of the degree program, and on this basis, 

each degree program will fill in the data screening, supplement and improve, and finally form the 

filling content that meets the relevant work requirements. 

4.2.5 Basic Status Information Management of Degree Programs 

According to the basic status information structure of degree programs required by the country in the 

periodic qualification assessment, the form function is customized, and each degree program can 

perform functions such as data screening, query statistics, import and export (docking with the national 

system) and so on. 

 

 

 



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4.2.6 Degree Program Performance Appraisal 

According to the performance assessment methods of the degree programs, customize the form 

function, customize the assessment indicators and weights, and evaluate the construction of each 

degree program. 

 

5. Conclusion 

Degree programs are an important carrier for cultivating high-level talents, and their construction 

quality and level have an important impact on the quality of talent training. The data involved in degree 

program cultivation and application, various assessments or evaluations, special inspections and other 

related construction work have direction characteristics, teachers, training process, student quality, 

scientific research, support conditions, social services, etc., which are both generally similar and not 

identical. By analyzing and sorting out relevant tasks, refining the core data information of degree 

programs, a degree program construction platform scheme based on data fusion thinking was designed 

and proposed. It can reduce data redundancy, enhance data association, improve the comprehensive 

management level of degree program construction, promote the modernization of degree program 

governance system and governance capacity, and provide a solid guarantee for cultivating qualified 

high-level talents. 

 

Acknowledgement 

This study was sponsored by Postgraduate Education Reform Project of Henan Province 

(2021SJGLX004Y), Postgraduate Education Reform Project of Henan Province (2021SJGLX098Y) 

and Higher Education Reform Project of Henan Province (2021SJGLX115). 

 

References 

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Li, C. B., & Zhang, X. C. (2015). Research on the construction of self-evaluation system for degree 

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Sun, Q. P., & Chen, X. (2021). Thinking and practice on the construction of graduate education 

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