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The Visualization of Post Practice Management Based on Big Data Analysis
Author(s) -
Wei Zhang,
Jialiang Li,
He Lin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/5/052022
Subject(s) - computer science , visualization , big data , process (computing) , chart , set (abstract data type) , attendance , data management , software , data science , process management , engineering management , data mining , engineering , mathematics , economic growth , operating system , statistics , economics , programming language
Post practice is an important teaching form of vocational education, however, there is a lack of effective management methods in attendance and process monitoring of post practice. Starting from the management difficulties, this paper uses the mobile app management software to collect the data of the students’ post practice process, generates the corresponding visualization chart based on the big data analysis technology, carries out targeted and normalized management of each link of the post practice process, and then forms a set of fine management methods for post practice.

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