Inferring Students' Sense of Community from Their Communication Behavior in Online Courses

摘要: Sense of community is regarded as the reflection students' feelings connectedness with members and commonality learning expectations goals. In online courses, sense has been proven to influence engagement academic performance. Low also one reasons for drop out. However, existing studies mainly acquire via questionnaires, which demand user efforts have difficulty in obtaining real-time feeling during process. addition, although communication helpful enhance community, little work empirically compared impact different tools. this paper, we are motivated derive from their behavior courses. Concretely, first identify a set features that significantly correlated not only include activities carried out both synchronous asynchronous environment, but linguistic content conversational texts. We then develop inference model unify these determining find LASSO performs best terms accuracy.