The Practice Path of Quality Assurance in Application-Oriented

Colleges and Universities Under the Background of Big Data

Technology

Wenhua Zhang

Changchun Institute of Technology, Chznagchun, Jilin, 130012, China

Keywords: Big Data Technology, Applied Universities, Teaching Quality.

Abstract: Under the background of big data technology, the traditional model of education is being reformed at an

accelerated pace. By using big data technology to organize and analyze teaching modules such as teaching

management and research, it can effectively guide the optimization of teaching and learning, and improve

teaching level and student learning efficiency. The article uses big data technology to conduct study

management and research analysis, which is the booster of big data technology in the education reform of

colleges and universities. Through big data technology, learning analysis, changing teaching concepts,

optimizing teaching resources, rationally arranging courses, changing the original teacher-student station

helps colleges and universities to cultivate application-oriented talents with more professional knowledge and

higher comprehensive quality.

1 INTRODUCTION

From a macro perspective, big data technology is to

analyze and apply the characteristics of data on a

large scale and in depth, so as to ensure that the

ontology value of data can be utilized by a large

number of databases. However, from the point of

view of practical application, big data technology is

completed through network technology and computer

equipment, which ensures that the equipment can

effectively handle massive information flow, so as to

meet the needs of cloud services. From a microscopic

perspective, big data technology can be viewed as a

single data storage and analysis tool and conduct in-

depth research on it. At the same time, based on the

high efficiency and high-quality computing power of

big data technology, the application in different

industrial fields can truly improve the efficiency of

enterprises and provide new ideas for the

development of the entire industry. From the

perspective of future development trends, the various

characteristics of big data are to provide services for

computers and network systems, truly realize

intelligent data transmission, to display human daily

work and life in a digital way, and build a digital

Corresponding author’s email

economic chain to promote the development of

society.

2 THE CURRENT SITUATION

AND SOLUTIONS OF QUALITY

ASSURANCE PRACTICE IN

APPLICATION-ORIENTED

COLLEGES AND

UNIVERSITIES UNDER THE

BACKGROUND OF BIG DATA

TECHNOLOGY

2.1 Current Status of Research

The United States is the birthplace of modern

educational assessment, and there are dozens of

theoretical models of educational assessment in

foreign countries, among which Taylor's behavioral

goal model is undoubtedly the most influential one.

Taylor's model is a typical assessment model of "goal-

attainment-assessment" with goal as the core. In the

classroom, experimental teaching is not a classroom,

274

Zhang, W.

The Practice Path of Quality Assurance in Application-Oriented Colleges and Universities Under the Background of Big Data Technology.

DOI: 10.5220/0012073200003624

In Proceedings of the 2nd International Conference on Public Management and Big Data Analysis (PMBDA 2022), pages 274-279

ISBN: 978-989-758-658-3

 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

but a series of teaching activities created by the teacher

and the students in the classroom, which are truly

devoted to the growth of the students. In this process,

the connotation of the curriculum is constantly

generated and transformed, and the connotation of the

curriculum is constantly constructed and improved, so

that students continue to acquire knowledge in

practice. The role of the student subject is fully

realized. Since then, researchers have explained

assessment of teaching and learning in greater depth,

and Kronbach, an American expert in curriculum

assessment, clearly states in his book "Improving the

Curriculum through Assessment" that "the greatest

contribution that assessment can make is to find out

which areas need improvement" and thereafter

Scriven divides the two functions in "Assessment

Methodology" as. Formative assessment and

summative assessment. Formative assessment focuses

on improvement, while conclusive assessment focuses

on judgment. in 1984, the American assessment

experts E. Kuba and Lincoln published a paper

entitled "The Fourth Generation of Educational

Assessment", in which he pointed out that the results

of assessment are not based on whether their objective

reality is the same, but mainly by whether the views of

the people involved in the assessment are the same,

therefore, assessment should be more process-oriented

and focus on unintended effects. The United States,

the United Kingdom, Australia, New Zealand, Japan,

and Germany, have been reforming the existing

quality assurance system of higher education since the

1990s. Experimental teaching in the U.S. places more

emphasis on stratification so that students can give full

play to their subjective initiative in experiments,

constantly update experimental content, and translate

scientific research results into experimental teaching.

This assessment method is flexible and can make full

use of students' autonomy and creative thinking. In

Japan, students are tested by teachers and given verbal

tests to meet their requirements. In Germany,

experimental teaching is assessed in terms of

information finding, analysis and processing,

comprehensive oral tests, creative ability and practical

skills (Su, 2021).

2.2 Existing Problems

In recent years, there has been an increase in domestic

and international research on applied undergraduate

experimental teaching. In general, its main contents

are: firstly, the construction of experimental teaching

system in colleges and universities is discussed from

several perspectives, including talent training

programs, curriculum settings, teaching methods,

etc.; secondly, it is analyzed from the aspects of

software, hardware investment, faculty guarantee and

system guarantee. This has positive significance to

promote the quality of experimental teaching and

talent cultivation in higher education. However, there

are still many problems in the research on the quality

assessment standards of university applied

undergraduate experimental teaching.

(1) The purpose of implementing education

quality assessment in universities is to improve

students' satisfaction. In the existing literature, many

quality assessment indexes of experimental teaching

are competence-oriented. Zheng Chunlong and Yu

Jianchao argue that a curriculum system of

experimental teaching should be established from the

perspective of cultivating students' creativity. Higher

education is service oriented in nature, and its

teaching quality depends on the service recipients.

Some scholars have focused their attention on the

assessment of teaching quality and constructed a

research system centered on student satisfaction.

selim et al. used student satisfaction as an indicator to

assess the quality of university services. According to

Gong Fang, in the evaluation system of

undergraduate education quality, the two factors of

"engagement" and "satisfaction" should be combined.

Based on SEM, Sun Youran et al. constructed a model

of factors affecting satisfaction with laboratory

teaching. However, in practice teaching, the specific

practice teaching quality assessment system aiming at

students' satisfaction still needs further improvement.

(2) At present, most of the domestic and

international researches on the quality system of

experimental teaching focus on two aspects:

qualitative and quantitative. Fu Xing and Cai

Hongmei et al. used AHP method to establish a set of

index system to assess the quality of English

classroom teaching in college (Xie and Song, 2020).

Shu Yu and Chen Cheng et al. conducted a systematic

study on scientific research in Chinese universities.

Liu Yuanlin explored the monitoring and evaluation

system in experimental teaching, but they were all

qualitative and did not analyze specific indicators.

Liu Fucheng et al. have made some discussions on

MBA experimental teaching, but it is difficult to

evaluate the actual teaching in applied universities.

As a whole, some existing studies have not

quantitatively assessed the quality of experimental

teaching in applied universities, thus affecting the

scientific assessment of it, and it is also difficult to

make horizontal and vertical comparisons. In

addition, the current qualitative studies on university

quality systems are highly arbitrary and lack a

complete set of educational theories to support them,

The Practice Path of Quality Assurance in Application-Oriented Colleges and Universities Under the Background of Big Data Technology

275

thus making it difficult to ensure the scientificity of

the final assessment results.

3 THE APPLICATION OF BIG

DATA TECHNOLOGY IN

APPLIED UNIVERSITIES

For the mutual benefit and protection of Authors and

Publishers, it is necessary that Authors provide

formal written Consent to Publish and Transfer of

Consent ensures that the publisher has the Author’s

authorization to publish the Contribution.

The copyright form is located on the authors’

reserved area.

The form should be completed and signed by one

author on behalf of all the other authors.

3.1 It is Beneficial for Teachers to

Master the Frontier of Science and

Technology

With the increasingly close communication between

disciplines, the development of interdisciplinary has

brought more difficulties to teachers of various

disciplines. The courses taught not only cover the

basic basic theories in the field of study, but also the

basic theories and development trends of other related

disciplines. Therefore, in the teaching process of

application-oriented colleges and universities,

teachers should correctly handle these intricate data

and make full use of current information technology

to better understand the current development of

disciplines, so as to improve their teaching ability.

3.2 More Abundant Educational

Resources and Higher Teaching

Needs

Making full use of network resources in the era of big

data can enrich classroom teaching, enhance students'

listening ability, and thus improve the quality of

classroom teaching. Especially for some theory

students, because their theoretical experiments

require more theoretical knowledge and some

cutting-edge technologies, which cannot be

completed in the current experimental environment,

they can use big data technology to reasonably apply

relevant animation demonstrations. teaching. In this

way, under the circumstance that some colleges and

universities save money, the teaching quality of

theoretical experiments is also better.

3.3 Grasp the Mental Characteristics

of Students More Quickly and

Accurately

Now, with the development of information

technology, teachers can use big data technology to

judge students’ learning status in this course based on

students' classroom performance and their usual

homework. Teachers can formulate corresponding

teaching plans accordingly and seek ways to better

mobilize students’ enthusiasm for learning (Chen,

2022).

4 TYPICAL APPLICATION

MODEL OF BIG DATA

TECHNOLOGY IN APPLIED

UNIVERSITIES

First of all, based on the learning system, a college

study plan is formulated for students, so that students

can clearly understand their own study plans and

training methods, including practical training,

internships, etc. How many credits you take, you also

know how many credits you have. The second is the

teaching system. Through this system, students can

understand the teacher's teaching plan and teaching

content at any time, so as to improve their preview

and review ability. There is also a student system,

which manages students' files, student status,

payment, etc.; the library system provides students

with convenient book borrowing and reservation

locations. In the employment system, students can

learn about the situation of the employer by uploading

their resume, thereby establishing a good two-way

selection system. The one-card service is convenient

for students to travel by car, eat in the cafeteria, and

see a doctor in the hospital (Yu, 2018). In addition,

the psychological assessment of each semester can

also be carried out through the big data model;

similarly, through social platforms, students can

communicate with classmates and teachers more

quickly; some universities have introduced easy-to-

learn courses, which can make it easier for students

and more quickly learn about college events, exam

information, grades, class schedules, and more;

through Web pages, students can see what's going on.

In short, the use of big data can make it easier for

students and teachers to operate, and make students

and colleges more closely connected (Liu and Zhang,

2021) as shown in Figure 1.

PMBDA 2022 - International Conference on Public Management and Big Data Analysis

276

Figure 1: Application model of big data teaching in universities OWNER-DRAW.

5 THE PRACTICAL PATH OF

BIG DATA IN APPLICATION-

ORIENTED COLLEGES AND

UNIVERSITIES

5.1 Formulation of a Learning Pan

Based on the Guidance of Big Data

Big data can also be used to formulate students’ study

plans, thereby improving the science of making study

plans. For example, using big data technology to

analyze students' training content, compulsory

content, elective content and completed content, and

implement hierarchical management of students'

overall learning plan, which can not only improve the

overall level of learning plan formulation, but also

ensure the formulation of Efficiency of study

programs. In the process of learning, students can

clearly understand their current learning tasks and the

learning tasks that need to be focused on, so that the

function of the learning plan can be maximized.

5.2 Constructing a Teaching Quality

Improvement System to Ensure

Students' Main Position in

Learning

With the goal of cultivating talents with all-round

development of morality, intelligence, physique,

beauty and labor, it guides students to learn the theory

and technology of data science, from business

understanding, data acquisition, data display, big data

analysis theory and technology, artificial intelligence,

etc., comprehensively train students in the whole

process of data analysis. At the same time, the actual

enterprise projects in the industry-university

cooperation are transformed into comprehensive

training courses to simulate the real situation of

enterprises and cultivate students' ability to use data

thinking and technology to solve practical problems,

respect the subjectivity of students so that they can

play a leading role in the classroom

5.3 Build a Teaching Quality

Evaluation System and Carry out

Evaluation and Certification of

Undergraduate Majors

The teaching quality evaluation system of colleges

and universities should be based on the campus

network, and use computer information technology to

implement scientific collection, distribution,

management, data and information resource sharing,

etc. integrated development. First of all, because it is

a computer application system, it must introduce

some basic content of college quality assessment into

computer management to reduce human factors and

make full use of network environment. The functions

of data mining for evaluation, output of evaluation

results and good user interface are realized. At the

same time, it is also the more advanced evaluation

system in my country's education evaluation work. In

the evaluation process, in order to ensure the fairness

and impartiality of the evaluation, more scientific and

The Practice Path of Quality Assurance in Application-Oriented Colleges and Universities Under the Background of Big Data Technology

277

reasonable evaluation methods must be adopted to

promote the effect of evaluation (Smith, 1998).

Figure 2: Structure diagram of the teaching quality

evaluation system

Figure 3: Flowchart of the teaching quality evaluation

system.

5.4 Build a Teaching Quality Data

Warehouse and Analyze the

Achievement of Students’

Professional Ability Requirements

At present, various education departments and

colleges and universities have carried out a lot of

research on the various professional abilities of

college students, and formed a corresponding

evaluation system. This assessment system is based

on absolute data obtained from surveys, and thus the

applicability of the assessment system is limited.

Based on the differences in survey results in different

regions, different levels, different majors, and

different years, the evaluation indicators obtained are

not precise enough. Through the analysis of the

degree of correlation between professional ability and

occupation.

When obtaining employment feedback

information of graduates, the first thing to do is to

screen useful data and try to avoid unnecessary data

interference in order to improve the accuracy of

analysis. The data can be preliminarily processed by

using the multiprocessing stage pattern in data

mining. The processing process is shown in Figure 4.

Figure 4: Processes the survey data using a multiprocessing

phase model OWNER-DRAW.

6 THE EFFECT OF BIG DATA IN

THE APPLICATION OF

QUALITY ASSURANCE IN

APPLICATION-ORIENTED

COLLEGES AND

UNIVERSITIES

6.1 Perform Supervisory Functions

The key point is to optimize the allocation of

resources and improve the school environment by

supervising the education system. It is necessary to

start from strengthening the management system,

enhancing the efficiency of the school, strengthening

the ideological awareness, and strengthening the team

building, etc., to establish a continuous supervision

function. It has laid a solid foundation for improving

the quality of teaching, and achieved effective

supervision and management of students. The fast

and effective feedback monitoring level plays a

guarantee role in teaching management, makes

decision-making scientific, and exerts the functions

of adjustment and feedback on the macro level. In the

operation of education quality, timely and accurately

obtain information, feedback education quality status,

conduct quality assessment, improve teaching

quality, and strengthen the purpose of education and

teaching.

6.2 Improve the Quality of Education

To correctly evaluate the quality of education in our

country, we must start from improving the quality of

teachers, ensure their dominant position in various

ways, stimulate their subjective initiative, give full

PMBDA 2022 - International Conference on Public Management and Big Data Analysis

278

play to the functions of teachers, directly promote the

optimal allocation of educational resources, and

continue to promote education. For quality

development, the evaluation of teachers' professional

titles should be divided into "gold medal teachers",

"backbone teachers", etc., and there is a more

scientific evaluation and assessment mechanism. At

the same time, it is necessary to strengthen the

training of teachers, strengthen the training of

teaching methods, develop teaching models, and

apply technical training to enhance the quality of

education. At the same time, it is necessary to

improve the management system and working

mechanism, and strengthen the management of the

education evaluation system.

7 CONCLUSIONS

The advent of the era of big data has brought great

changes in our daily life, work, reading, shopping and

other aspects, which is both an opportunity and a

challenge for higher education. The application of big

data technology in the education and teaching of

application-oriented colleges and universities has

changed the original teaching mode and broke the

limitations of the previous teaching mode. In the era

of big data, teachers can use the online learning

platform to obtain the latest information on current

teaching behaviors. Through big data technology, the

refined management and services of colleges and

universities can be greatly improved, and the

informatization degree of higher education can be

greatly improved. The intelligence of educational

services. At present, some application-oriented

colleges and universities in my country have used big

data technology to improve the teaching management

service model, and have received some results in

practice. As an educator, we must seize the

opportunity, keep up with the trend of the times, and

make full use of big data. Technology, serving

education reform, and providing strong support for

cultivating high-quality, high-skilled compound

application-oriented talents.

REFERENCES

Chen Juan. Application and exploration of big data thinking

in college teaching management [J]. Science

Consulting, 2022(1):21-23.

Liu Yanhui, Zhang Yuxia. Research on the application of

big data analysis in the teaching quality assurance

platform of local colleges and universities [J]. Journal

of Handan University, 2021, 31(3): 88-90.

Smith, J., 1998. The book, The publishing company.

London, 2

edition.

Su Qingfang. Research on the Construction of Internal

Quality Assurance System in Applied Undergraduate

Universities [J]. Continuing Education, 2021 (2): 143-

145.Moore, R., Lopes, J., 1999. Paper templates. In

TEMPLATE’06, 1st International Conference on

Template Production. SCITEPRESS.

Xie Yuhui, Song Kai. The application of big data

technology in college teaching: A review of the

principle and application of big data technology (2nd

edition) [J]. China Science and Technology Papers,

2020, 15(1): post-insert 14.

Yu Kun. Research on the application of big data technology

in college education and teaching [J]. Invention and

Innovation Vocational Education, 2018(5):24

The Practice Path of Quality Assurance in Application-Oriented Colleges and Universities Under the Background of Big Data Technology

279