What does intelligent teaching system mean to science teachers?

The era of MOOC has come, and its ambition is not only limited to allowing the general public to follow Stanford, but also to improve its curriculum through an analysis of a large number of user data, so that each student receives a personalized education. The latter is the MOOC of traditional education, I call it "intelligent teaching system." The following are mainly for science (such as mathematics) teaching: The intelligent teaching system to the science teacher's substitution effect is stronger than the humanities, because the knowledge is modular, the answer is objective. In the examination of intelligent teaching products (such as "Ape Question bank"), the teacher plays a very short period of time, is the development of primary analytic real problem. Because the real question bank is confirmed, does not need to revise, even if some questions unreasonable, also does not need the teacher to do any follow-up promotion work. For multiple-choice questions, fill in the blanks, the system can automatically recommend related topics, and simple questions have been analyzed, the teacher's demand for students is also much less. In Khan Academy and Cousera, of course, they would first cause many teachers to lose their jobs, but for a handful of surviving teachers, the space would grow: Design topics (including new internet-based questions), analytics, and continuous improvement of courses based on user data. In ETS and other standardized testing institutions, propositional personnel will also be based on data feedback to improve the strategy. It can be seen that if a teacher has no right to proposition, he will be replaced by a data analyst. Because one of the greatest values of a problem-solving tutor is "experience", now that we have data mining, experience is a weak one-if you teach 50 new students a year, 30 will be 1500, and certainly not follow each student's course of study. In the face of data mining, the past powerful mathematics teachers, will be changed to accompany Aunt uncle. There is another problem: there is no copyright in the domestic real problem, then the face of the Internet platform training candidates, test reliability how to guarantee? The answer is no guarantee, but it does not matter, the authority of the title is not subject to real threats. ETS Real title has copyright, it will not allow the platform to use its real problem to generate large data, otherwise its own advantages? Speaking of which, you might think that if a country's test proposition right is not subject to administrative monopoly, then the excellent MOOC platform can pose a threat to ETS-it provides performance and learning process evaluation will challenge the authoritative status of standardized results. In summary: In the course standard and examination by the administrative Monopoly Society, with the advent of the intelligent teaching system, the exam-oriented teachers will be gradually replaced, and the intelligent system will become a new generation of test tools; In a more open society, system replacement of teachers is also inevitable, but the system and a small number of surviving teachers can work together to do more.