SHS Web Conf.
Volume 140, 20222022 International Conference on Information Technology in Education and Management Engineering (ITEME2022)
|Number of page(s)||6|
|Published online||25 May 2022|
Analysis on teacher teaching evaluation system based on clustering constant modulus
Beijing Polytechnic, Beijing, P.R. China
2 Stony Brook University, Suny, Stony Brook, NY, U.S.A.
3 Tianjin Peisheng Education Technology Development Co., Tianjin, P.R. China
* Corresponding author: email@example.com
It is compiled by referring to some dimensions of cartel 16 personality factors questionnaire (16PF) and combined with the current situation of teachers in vocational colleges. Six dimensions are designed, which are communication and expression, innovation, persistence, manual operation, teachers’ professional identity and intelligence. The clustering algorithm is used to simulate and analyze the data system and establish the big data norm. In addition to describing the whole from the data of centralized trend and discrete trend, it can also describe the position of each individual score in the whole. Here, the concept of overall distribution is used to describe the overall data state by presenting the distribution diagram.
Key words: Clustering algorithm / Teaching evaluation / Norm analysis / Cartel personality factor
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.