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Application of data mining technology in college mental health education

In order to improve education and teaching methods and meet the “heart” needs of college students in the era of big data, this paper analyzes the application of data mining technology in college mental health education, and introduces database technology and decision tree algorithm to support colleg...

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Autor principal: Sun, Xiaocong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403985/
https://www.ncbi.nlm.nih.gov/pubmed/36032997
http://dx.doi.org/10.3389/fpsyg.2022.974576
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author Sun, Xiaocong
author_facet Sun, Xiaocong
author_sort Sun, Xiaocong
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description In order to improve education and teaching methods and meet the “heart” needs of college students in the era of big data, this paper analyzes the application of data mining technology in college mental health education, and introduces database technology and decision tree algorithm to support college mental health work. This process verifies the feasibility of this kind of system with the help of an example. Using the test standards outlined in this document, 1.5 previous test tasks were completed within the timeframe. During the system test, the error rate was 14% and the number of tests was 7%.However, the error rate in the development stage is 11%, which is lower than 19% of the old version. The error rate in the acceptance stage is 14%, which is lower than 5% of the old version. That is to say, most of the errors were found in time in the system analysis and design stage. 14% of the problems found in the development stage are basically small problems in the interface display, which do not need major changes. However, the old version also includes design defects found in the development stage, and only large-scale rewriting of the involved modules. In the research process, the work of mental health in Colleges and universities has been promoted. At this time, the law of psychological changes of college students has been summarized. Therefore, the support of data mining technology can better meet the needs of mental health education in Colleges and universities.
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spelling pubmed-94039852022-08-26 Application of data mining technology in college mental health education Sun, Xiaocong Front Psychol Psychology In order to improve education and teaching methods and meet the “heart” needs of college students in the era of big data, this paper analyzes the application of data mining technology in college mental health education, and introduces database technology and decision tree algorithm to support college mental health work. This process verifies the feasibility of this kind of system with the help of an example. Using the test standards outlined in this document, 1.5 previous test tasks were completed within the timeframe. During the system test, the error rate was 14% and the number of tests was 7%.However, the error rate in the development stage is 11%, which is lower than 19% of the old version. The error rate in the acceptance stage is 14%, which is lower than 5% of the old version. That is to say, most of the errors were found in time in the system analysis and design stage. 14% of the problems found in the development stage are basically small problems in the interface display, which do not need major changes. However, the old version also includes design defects found in the development stage, and only large-scale rewriting of the involved modules. In the research process, the work of mental health in Colleges and universities has been promoted. At this time, the law of psychological changes of college students has been summarized. Therefore, the support of data mining technology can better meet the needs of mental health education in Colleges and universities. Frontiers Media S.A. 2022-08-11 /pmc/articles/PMC9403985/ /pubmed/36032997 http://dx.doi.org/10.3389/fpsyg.2022.974576 Text en Copyright © 2022 Sun. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Sun, Xiaocong
Application of data mining technology in college mental health education
title Application of data mining technology in college mental health education
title_full Application of data mining technology in college mental health education
title_fullStr Application of data mining technology in college mental health education
title_full_unstemmed Application of data mining technology in college mental health education
title_short Application of data mining technology in college mental health education
title_sort application of data mining technology in college mental health education
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403985/
https://www.ncbi.nlm.nih.gov/pubmed/36032997
http://dx.doi.org/10.3389/fpsyg.2022.974576
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