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 of u...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2015/812650 |
id |
doaj-377bbc33bd2c4057b829b8606f29a00b |
---|---|
record_format |
Article |
spelling |
doaj-377bbc33bd2c4057b829b8606f29a00b2020-11-25T01:01:37ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732015-01-01201510.1155/2015/812650812650CyberPsychological Computation on Social Community of Ubiquitous LearningXuan Zhou0Genghui Dai1Shuang Huang2Xuemin Sun3Feng Hu4Hongzhi Hu5Mirjana Ivanović6School of Humanities and Social Science, Sichuan Conservatory of Music, Chengdu 610021, ChinaSchool of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, ChinaOverseas Training Center, Shanghai International Studies University, Shanghai 200083, ChinaDepartment of General Surgery, Tongji Hospital, Tongji University, Shanghai 200065, ChinaDepartment of Respiratory Medicine, Shanghai Tongren Hospital, Shanghai Jiao Tong University, Shanghai 200336, ChinaSchool of Management, Fudan University, Shanghai 200433, ChinaDepartment of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, 21000 Novi Sad, SerbiaUnder 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.http://dx.doi.org/10.1155/2015/812650 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xuan Zhou Genghui Dai Shuang Huang Xuemin Sun Feng Hu Hongzhi Hu Mirjana Ivanović |
spellingShingle |
Xuan Zhou Genghui Dai Shuang Huang Xuemin Sun Feng Hu Hongzhi Hu Mirjana Ivanović CyberPsychological Computation on Social Community of Ubiquitous Learning Computational Intelligence and Neuroscience |
author_facet |
Xuan Zhou Genghui Dai Shuang Huang Xuemin Sun Feng Hu Hongzhi Hu Mirjana Ivanović |
author_sort |
Xuan Zhou |
title |
CyberPsychological Computation on Social Community of Ubiquitous Learning |
title_short |
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_sort |
cyberpsychological computation on social community of ubiquitous learning |
publisher |
Hindawi Limited |
series |
Computational Intelligence and Neuroscience |
issn |
1687-5265 1687-5273 |
publishDate |
2015-01-01 |
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. |
url |
http://dx.doi.org/10.1155/2015/812650 |
work_keys_str_mv |
AT xuanzhou cyberpsychologicalcomputationonsocialcommunityofubiquitouslearning AT genghuidai cyberpsychologicalcomputationonsocialcommunityofubiquitouslearning AT shuanghuang cyberpsychologicalcomputationonsocialcommunityofubiquitouslearning AT xueminsun cyberpsychologicalcomputationonsocialcommunityofubiquitouslearning AT fenghu cyberpsychologicalcomputationonsocialcommunityofubiquitouslearning AT hongzhihu cyberpsychologicalcomputationonsocialcommunityofubiquitouslearning AT mirjanaivanovic cyberpsychologicalcomputationonsocialcommunityofubiquitouslearning |
_version_ |
1725208240485040128 |