Some people believe that there are many problems with online teaching, and should stick to the traditional offline teaching model why

Online education lacks binding. Online education to enhance the binding force, just only able to increase the explicit control, but the implicit constraints, in fact, more important, and this kind of constraints, online can not be realized. Online because there is no sense of reality, we feel the binding force will be greatly reduced. In school, the kind of tense atmosphere, people on the road in a hurry, students stay up all night studying hard. At home, no pressure to learn, the environment is comfortable such an environment atmosphere, is the lack of internal binding force. 2, online courses, too much emphasis on the catechism, weakened the role of the teacher. Teachers, an important role is to impart knowledge, but in the practice of many schools, there is a phenomenon of teacher laziness, the teacher to teach the function, completely abandoned to the teacher in the catechism, the teacher himself is no longer teaching. This shows to a certain extent the status quo of university teachers emphasizing scientific research and emphasizing teaching. Some people say that knowledge can be learned by reading books. If you can learn by reading books, then what is the point of a teacher. Teachers can make the learning of knowledge easier and make students' learning less detour.3. Network problems still limit the development of online education. In the past six months, often encountered network signal is not good, there are power outages. In my home place, once the power went out, there was no more network. The learning of the course, is interlinked, once a certain link because of network problems did not hear, obviously, we will not be able to keep up with the subsequent courses, which is a big problem, which requires the network industry practitioners, technologists and scientists to work together, so that the network is faster, more stable, so that the network at all times to accommodate a large number of data streams.