원문정보
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
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