Quality evaluation system of engineering cost education curriculum based on data clustering

Abstract

Aiming at the problems of poor evaluation effect and long system response time in the existing project cost course quality evaluation system, a project cost education course quality evaluation system based on data clustering is designed. The data acquisition module of infrastructure layer is used to collect the quality evaluation data of engineering cost education course, and the collected data is transmitted to the upper computer by can communication module. The processor control module in the upper computer transmits the data to the course quality evaluation module, and the processor control module selects 32-bit fixed-point chip TMS320F2812; After receiving the data, the course quality evaluation module uses the fuzzy matter-element proximity clustering evaluation method in data mining to evaluate the quality of engineering cost education courses. The evaluation results are transmitted to the application layer for users to use, and the evaluation results are displayed to users through the display interface of the display layer to complete the system design. The experimental results show that the proposed system can complete the quality evaluation of engineering cost education course, the response time of system evaluation is controlled within 400ms, and the response efficiency of the system is improved.

A new method for education quality evaluation based on belief rule base with power set and evidential reasoning

“…TIMSS2019 is the seventh international assessment program initiated by the IEA, which uses questionnaires to conduct research in terms of home context, school context, student achievement, teacher and student context, and student-teacher linkages. After analyzing the research of [30][31][32][33] et al, this paper selects five dimensions to evaluate the education quality according to the questionnaire content: teacher quality, teaching attitude, teaching content, teaching method and teaching effect. Three or four evaluation indicators are selected under each dimension, and an education quality evaluation system with two levels is constructed, as shown in Table 1.…”