Earticle

초록

영어

With the rapid development of higher education, how to safeguard and promote the quality of degree training has increasingly become the focus of all sectors of society and training units. Strengthening evaluation is an important process to ensure the quality of the degree-granting. To weaken the human factor and reduce the complexity of human intervention in the evaluation process, this paper presents a new degree evaluation model. This model consists of a command management unit, data unit, sampling rules unit, index system unit, evaluation system unit and information feedback unit. In this model, data cleaning and data integration are used to deal with multi-source heterogeneous degree data, and the rule sampling method is applied to achieve the complex and diverse sampling requirements. To prove the scientific and effective nature of this evaluation model, we applied this model to a sampling of master's dissertations from Shanghai in 2014. The result of using this evaluation model on this sampling met the requirement of the Municipal Degree Committee.

목차

Abstract
 1. Introduction
 2. Degree Quality Evaluation Model
  2.1. Command Management Unit
  2.2. Data Unit
  2.3. Sampling Rules Unit
  2.4. Index System Unit
  2.5. Evaluation System Unit
  2.6. Information Feedback System Unit
 3. Evaluation Model Application
  3.1. Data Collection
  3.2. Data Fusion
  3.3. Data Cleaning
  3.4. Sampling Rules
 4. Conclusion
 References

키워드

저자

• Shardrom Johnson [ School of Computer Engineering and Science, Shanghai University, Shanghai, P. R. China / Xianda College of Economics & Humanities Shanghai International Studies University, Shanghai, P.R China ]
• Miao Hui [ School of Computer Engineering and Science, Shanghai University, Shanghai, P. R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605