Title: A comprehensive evaluation system of teaching quality based on big data architecture

Authors: Yanan Wang

Addresses: Department of Business Administration, Xi'an Fanyi University, Xi'an 710105, China

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.

Keywords: big data architecture; teaching quality; comprehensive evaluation; system design.

DOI: 10.1504/IJCEELL.2020.106337

International Journal of Continuing Engineering Education and Life-Long Learning, 2020 Vol.30 No.2, pp.176 - 189

Received: 22 Mar 2019
Accepted: 21 May 2019
Published online: 02 Apr 2020 *

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