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CyberPsychological Computation on Social Community of Ubiquitous Learning

Under the modern network environment, ubiquitous learning has been a popular way for people to study knowledge, exchange ideas, and share skills in the cyberspace. Existing research findings indicate that the learners' initiative and community cohesion play vital roles in the social communities...

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Detalles Bibliográficos
Autores principales: Zhou, Xuan, Dai, Genghui, Huang, Shuang, Sun, Xuemin, Hu, Feng, Hu, Hongzhi, Ivanović, Mirjana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4629010/
https://www.ncbi.nlm.nih.gov/pubmed/26557846
http://dx.doi.org/10.1155/2015/812650
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author Zhou, Xuan
Dai, Genghui
Huang, Shuang
Sun, Xuemin
Hu, Feng
Hu, Hongzhi
Ivanović, Mirjana
author_facet Zhou, Xuan
Dai, Genghui
Huang, Shuang
Sun, Xuemin
Hu, Feng
Hu, Hongzhi
Ivanović, Mirjana
author_sort Zhou, Xuan
collection PubMed
description Under the modern network environment, ubiquitous learning has been a popular way for people to study knowledge, exchange ideas, and share skills in the cyberspace. Existing research findings indicate that the learners' initiative and community cohesion play vital roles in the social communities of ubiquitous learning, and therefore how to stimulate the learners' interest and participation willingness so as to improve their enjoyable experiences in the learning process should be the primary consideration on this issue. This paper aims to explore an effective method to monitor the learners' psychological reactions based on their behavioral features in cyberspace and therefore provide useful references for adjusting the strategies in the learning process. In doing so, this paper firstly analyzes the psychological assessment of the learners' situations as well as their typical behavioral patterns and then discusses the relationship between the learners' psychological reactions and their observable features in cyberspace. Finally, this paper puts forward a CyberPsychological computation method to estimate the learners' psychological states online. Considering the diversity of learners' habitual behaviors in the reactions to their psychological changes, a BP-GA neural network is proposed for the computation based on their personalized behavioral patterns.
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spelling pubmed-46290102015-11-10 CyberPsychological Computation on Social Community of Ubiquitous Learning Zhou, Xuan Dai, Genghui Huang, Shuang Sun, Xuemin Hu, Feng Hu, Hongzhi Ivanović, Mirjana Comput Intell Neurosci Research Article Under the modern network environment, ubiquitous learning has been a popular way for people to study knowledge, exchange ideas, and share skills in the cyberspace. Existing research findings indicate that the learners' initiative and community cohesion play vital roles in the social communities of ubiquitous learning, and therefore how to stimulate the learners' interest and participation willingness so as to improve their enjoyable experiences in the learning process should be the primary consideration on this issue. This paper aims to explore an effective method to monitor the learners' psychological reactions based on their behavioral features in cyberspace and therefore provide useful references for adjusting the strategies in the learning process. In doing so, this paper firstly analyzes the psychological assessment of the learners' situations as well as their typical behavioral patterns and then discusses the relationship between the learners' psychological reactions and their observable features in cyberspace. Finally, this paper puts forward a CyberPsychological computation method to estimate the learners' psychological states online. Considering the diversity of learners' habitual behaviors in the reactions to their psychological changes, a BP-GA neural network is proposed for the computation based on their personalized behavioral patterns. Hindawi Publishing Corporation 2015 2015-10-19 /pmc/articles/PMC4629010/ /pubmed/26557846 http://dx.doi.org/10.1155/2015/812650 Text en Copyright © 2015 Xuan Zhou et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhou, Xuan
Dai, Genghui
Huang, Shuang
Sun, Xuemin
Hu, Feng
Hu, Hongzhi
Ivanović, Mirjana
CyberPsychological Computation on Social Community of Ubiquitous Learning
title CyberPsychological Computation on Social Community of Ubiquitous Learning
title_full CyberPsychological Computation on Social Community of Ubiquitous Learning
title_fullStr CyberPsychological Computation on Social Community of Ubiquitous Learning
title_full_unstemmed CyberPsychological Computation on Social Community of Ubiquitous Learning
title_short CyberPsychological Computation on Social Community of Ubiquitous Learning
title_sort cyberpsychological computation on social community of ubiquitous learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4629010/
https://www.ncbi.nlm.nih.gov/pubmed/26557846
http://dx.doi.org/10.1155/2015/812650
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