The Study of Hierarchical Learning Behaviors and Interactive Cooperation Based on Feature Clusters

The study of learning behaviors with multi features is of great significance for interactive cooperation. The data prediction and decision are to realize the comprehensive analysis and value mining. In this study, hierarchical learning behavior based on feature cluster is proposed. Based on the mass...

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Main Authors: Tianjiao Wang, Xiaona Xia
Format: Article
Language:English
Published: SAGE Publishing 2023-04-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/21582440231166593
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author Tianjiao Wang
Xiaona Xia
author_facet Tianjiao Wang
Xiaona Xia
author_sort Tianjiao Wang
collection DOAJ
description The study of learning behaviors with multi features is of great significance for interactive cooperation. The data prediction and decision are to realize the comprehensive analysis and value mining. In this study, hierarchical learning behavior based on feature cluster is proposed. Based on the massive data in interactive learning environment, the descriptive model and learning algorithm suitable for feature clustering are designed, and sufficient experiments obtain the optimal performance indexes. The data analysis results are reliable. On this basis, the hierarchical learning behaviors based on feature clusters are visualized, the rules of different learning behaviors are summarized, then we propose the practical scheme of interactive cooperation. The hierarchical learning behaviors can be realized by feature clusters, which can effectively improve the modes of interactive cooperation, and help to improve the learning effectiveness.
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spelling doaj.art-cf5d1133d59a44d5b72212d050b9322e2023-04-21T14:34:00ZengSAGE PublishingSAGE Open2158-24402023-04-011310.1177/21582440231166593The Study of Hierarchical Learning Behaviors and Interactive Cooperation Based on Feature ClustersTianjiao Wang0Xiaona Xia1Shandong Normal University, Jinan, ChinaQufu Normal University, Rizhao, Shandong, ChinaThe study of learning behaviors with multi features is of great significance for interactive cooperation. The data prediction and decision are to realize the comprehensive analysis and value mining. In this study, hierarchical learning behavior based on feature cluster is proposed. Based on the massive data in interactive learning environment, the descriptive model and learning algorithm suitable for feature clustering are designed, and sufficient experiments obtain the optimal performance indexes. The data analysis results are reliable. On this basis, the hierarchical learning behaviors based on feature clusters are visualized, the rules of different learning behaviors are summarized, then we propose the practical scheme of interactive cooperation. The hierarchical learning behaviors can be realized by feature clusters, which can effectively improve the modes of interactive cooperation, and help to improve the learning effectiveness.https://doi.org/10.1177/21582440231166593
spellingShingle Tianjiao Wang
Xiaona Xia
The Study of Hierarchical Learning Behaviors and Interactive Cooperation Based on Feature Clusters
SAGE Open
title The Study of Hierarchical Learning Behaviors and Interactive Cooperation Based on Feature Clusters
title_full The Study of Hierarchical Learning Behaviors and Interactive Cooperation Based on Feature Clusters
title_fullStr The Study of Hierarchical Learning Behaviors and Interactive Cooperation Based on Feature Clusters
title_full_unstemmed The Study of Hierarchical Learning Behaviors and Interactive Cooperation Based on Feature Clusters
title_short The Study of Hierarchical Learning Behaviors and Interactive Cooperation Based on Feature Clusters
title_sort study of hierarchical learning behaviors and interactive cooperation based on feature clusters
url https://doi.org/10.1177/21582440231166593
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