With the widespread use of the Internet,online collaborative reflection has become a new way of teaching reflection.Studies have shown that teachers need to pay attention to emotional issues in online collaborative reflection.Online collaborative reflection not only needs to pay attention to teachers’ personal emotions,but also needs to pay attention to the group of reflection participants To this end,this study focuses on the research of group emotions based on the research of emotion-related research in the online collaborative learning environment and the needs of teachers’ online collaborative reflection.Based on the theory of social space and relying on the online collaborative reflection platform designed and developed by the team,this paper discusses the identification,quantification and representation of group emotions in online collaborative reflection,which provides a basis for the design and development of later teachers’ online collaborative reflection emotion adjustment tools.Therefore,the paper proposes to measure group emotions in online collaborative reflection with three indicators: heat,cohesion,and emotional tendency.Heat uses weighted calculations of visits,responses,number of participants,and likes,and considers time decay factors;cohesion is passed The method of user self-reporting after participating in writing,collecting user data on group trust,belonging,satisfaction,and responsibility for calculation;emotional tendency analyzes the emotional tendency of each text by accessing Baidu api,considering each Teachers who participate in the collaboration in the future design algorithms for the factors that affect affective tendencies.They design the representation of heat,cohesion,and affective tendencies,and finally present them with the help of an online collaborative reflection mobile app developed by themselves. |