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How to use big data to improve the education and learning experience?
How to use big data to improve the education and learning experience is as follows:

First, big data in the field of education: improving students' performance

The general idea of using big data in the education system is to improve students' performance. At present, the only criterion for measuring students' grades is the answers to homework and exams. However, in students' life, each student produces a unique data clue. Real-time analysis of these data clues is helpful to better understand students' individual behavior and create the best learning environment for students.

With big data from the education department, we can monitor students' behavior, such as how long it takes them to answer a question, what sources they use to prepare for the exam, which questions they skip, and so on. These questions and similar questions can be answered immediately and automatically, giving each student immediate feedback.

Second, big data in the field of education: customized solutions

With the help of big data, you can tailor courses for each student. Even if there are thousands of students in colleges and universities, you can customize courses for each student. This can be achieved through so-called "blended learning"-a combination of online and offline learning.

This gives students the opportunity to study the courses they are interested in, or study at their own pace, and at the same time get offline guidance from professors. We have seen this in the case of large-scale open online courses, and this product has been developed and delivered all over the world.

Third, big data in the field of education: reducing the dropout rate.

Because big data in the education sector will help improve students' performance, the dropout rate of schools and universities will also be reduced. Educational institutions can predict and analyze all the collected data, so as to understand the performance of future students.

Such a prediction is also helpful to analyze the situation of the course before introducing it, thus minimizing the need for trial and error. In fact, big data can also be used to monitor students' performance in the job market after graduation from college. This will also help future students to choose suitable colleges and courses.