A comprehensive evaluation system of teaching quality based on big data architecture. (27th February 2020)

• Record Type: Journal Article
• Authors: Wang, Yanan
• Is Part Of: International journal of continuing engineering education and lifelong learning. Volume 30:Number 2(2020)
• Page Start: 176
• Page End: 189
• Publication Date: 2020-02-27
• Subjects: big data architecture -- teaching quality -- comprehensive evaluation -- system design; Engineering -- Study and teaching -- Periodicals; 620.00715
• Languages: English
• ISSNs: 1560-4624

Abstract

Aiming at the problems of long response time and high error rate in traditional teaching quality comprehensive evaluation system, a teaching quality comprehensive evaluation system based on big data structure is proposed. Firstly, different evaluation indicators are designed, the principle of teaching quality comprehensive evaluation is designed by using data dictionary, the requirement analysis of teaching quality comprehensive evaluation system is realised by using UML use case model, then the overall framework of the system is designed, and the comprehensive evaluation system of teaching quality is developed and studied by using Asp.net related technology. The experimental results show that the response time of the designed system is shorter than that of the traditional teaching quality comprehensive evaluation system, and the fitting degree between the evaluation results and the actual situation is higher, which fully proves the superiority of the designed system.