Behavioral modeling based on cloud computing and target user recommendation for English cloud classroom

The English cloud classroom learning system provides a simple and effective way to access cloud-based training and learning materials. Student records based on behavioral modeling and interactive volume are assumed that the degree of student participation in the course measure. Previous studies, typically the frequency of student activities while ignoring temporary information. Analysis of Students' Activities in the course over time. According to the online classroom activity data, similar behavior change with time students are clustered. These results are three different groups. A large majority of inactive students. Another group to active throughout the students. However, a group of students to the event, but their activity will be reduced throughout the course. These student groups exhibit different performance. Overall students more active, the better the results. In addition to these general trends, also identified a trend of alternative courses that can be found, for example, becomes an active group of students in the course. It suggests that students' behavior is identified from a single course of conduct than the more complex, multi-mode learning activities course. More research is essential. In this study, investigated the Portuguese teachers 'views on classroom management, the relationship between self-off and the efficacy of teachers' and teachers' perception of classroom behavioral teachers' perception of time. Use mediator and moderator variables on the cloud classroom management, and teachers of English teachers perceive the relationship between classroom conditions were cheating process analysis.