title: CyberPsychological Computation on Social Community of Ubiquitous Learning.
abstract: 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.
authors.affiliation: School of Humanities and Social Science, Sichuan Conservatory of Music, Chengdu 610021, China.
authors.forename: Xuan
authors.initials: X
authors.lastname: Zhou
authors.affiliation: School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China.
authors.forename: Genghui
authors.initials: G
authors.lastname: Dai
authors.affiliation: Overseas Training Center, Shanghai International Studies University, Shanghai 200083, China.
authors.forename: Shuang
authors.initials: S
authors.lastname: Huang
authors.affiliation: Department of General Surgery, Tongji Hospital, Tongji University, Shanghai 200065, China.
authors.forename: Xuemin
authors.initials: X
authors.lastname: Sun
authors.affiliation: Department of Respiratory Medicine, Shanghai Tongren Hospital, Shanghai Jiao Tong University, Shanghai 200336, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Hu
authors.affiliation: School of Management, Fudan University, Shanghai 200433, China.
authors.forename: Hongzhi
authors.initials: H
authors.lastname: Hu
authors.affiliation: Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.
authors.forename: Mirjana
authors.initials: M
authors.lastname: Ivanović
mesh_terms: D003142:Communication; D003491:Cybernetics; D006801:Humans; D007858:Learning; D009042:Motivation; D011581:Psychological Tests; D012944:Social Support