Year: 2025
Type: article
Abstract: As a compulsory course, the new energy vehicle course should be reformed in regard to the teaching methods and content. This paper summarises the characteristics of this course based on the author's practice. This project studies the new energy vehicle teaching cloud evaluation method based on a big data environment. The reverse cloud generator and cloud synthesis algorithm are used to build a new energy vehicle teaching evaluation system. Secondly, based on determining the weight cloud of the teaching evaluation index and task weight cloud, the cloud computing rules are used to generate the singletask teaching evaluation cloud and the multi-task complex teaching evaluation cloud, respectively. The complex teaching choices are evaluated and optimised. An example shows that the proposed algorithm is practical and reasonable. This paper's research results will help evaluate the quality of education more comprehensively and promote the smooth progress of education reform.
Source: HKIE Transactions
Authors: Haili Tang, Xiaojuan Cao, Ruyi Zhang
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4406775552