Recognition of Psychological Characteristics of Students’ Behavior Based on Improved Machine Learning

Contemporary classroom teaching requires the combination of students’ classroom behavior and their psychological activities and appropriately changes the teaching mode according to students’ psychological characteristics. This paper analyzes the traditional characteristic recognition algorithm, and...

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Autor principal: Mingchao Li
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/bf07256c97e744adbc32a85e473aeb87
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spelling oai:doaj.org-article:bf07256c97e744adbc32a85e473aeb872021-11-22T01:09:48ZRecognition of Psychological Characteristics of Students’ Behavior Based on Improved Machine Learning1687-726810.1155/2021/8135942https://doaj.org/article/bf07256c97e744adbc32a85e473aeb872021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8135942https://doaj.org/toc/1687-7268Contemporary classroom teaching requires the combination of students’ classroom behavior and their psychological activities and appropriately changes the teaching mode according to students’ psychological characteristics. This paper analyzes the traditional characteristic recognition algorithm, and after improving its deficiencies, an improved characteristic extraction algorithm is proposed, based on the actual situation of classroom learning. This new algorithm can effectively improve the students’ psychological feature prediction; with the support of this algorithm, a comprehensive analysis model with classroom behavior recognition and psychological feature recognition is constructed; also, the functional structure of the system is built up. Through experimental research, the model proposed in this paper is analyzed, and the experimental data has approved that the systemic model could play an important role in classroom teaching.Mingchao LiHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
spellingShingle Technology (General)
T1-995
Mingchao Li
Recognition of Psychological Characteristics of Students’ Behavior Based on Improved Machine Learning
description Contemporary classroom teaching requires the combination of students’ classroom behavior and their psychological activities and appropriately changes the teaching mode according to students’ psychological characteristics. This paper analyzes the traditional characteristic recognition algorithm, and after improving its deficiencies, an improved characteristic extraction algorithm is proposed, based on the actual situation of classroom learning. This new algorithm can effectively improve the students’ psychological feature prediction; with the support of this algorithm, a comprehensive analysis model with classroom behavior recognition and psychological feature recognition is constructed; also, the functional structure of the system is built up. Through experimental research, the model proposed in this paper is analyzed, and the experimental data has approved that the systemic model could play an important role in classroom teaching.
format article
author Mingchao Li
author_facet Mingchao Li
author_sort Mingchao Li
title Recognition of Psychological Characteristics of Students’ Behavior Based on Improved Machine Learning
title_short Recognition of Psychological Characteristics of Students’ Behavior Based on Improved Machine Learning
title_full Recognition of Psychological Characteristics of Students’ Behavior Based on Improved Machine Learning
title_fullStr Recognition of Psychological Characteristics of Students’ Behavior Based on Improved Machine Learning
title_full_unstemmed Recognition of Psychological Characteristics of Students’ Behavior Based on Improved Machine Learning
title_sort recognition of psychological characteristics of students’ behavior based on improved machine learning
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/bf07256c97e744adbc32a85e473aeb87
work_keys_str_mv AT mingchaoli recognitionofpsychologicalcharacteristicsofstudentsbehaviorbasedonimprovedmachinelearning
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