What does big data mean to education?

Perhaps the ideal of "teaching students in accordance with their aptitude", which has lasted for more than two thousand years, is really coming.

Education depends not only on students' grades, but also on their thoughts, mentality, body and personality. Because the learning performance of students with different types and abilities is extremely complicated, teachers need to design flexible teaching methods according to their own experience and wisdom.

However, due to the imbalance of regional educational resources, teachers' different experience and wisdom, students' limited understanding of their own situation and teachers' different understanding of students, a student often gets completely different guidance from different teachers, which leads to completely different results.

The premise of teaching students in accordance with their aptitude: First, master enough data such as students' basic information, state change and ability level. 2) Have a scientific and systematic theory or an experienced and wise tutor who can answer your questions and guide your direction; 3) Be able to receive student consultation at any time.

To achieve the above three points, we need portable intelligent equipment based on powerful data statistics and guided by systematic and perfect theories. In the past, due to the backward level of science and technology, the inheritance of knowledge and experience can only rely on the accumulation of teachers' experience and experience, as well as the diligence, understanding and luck of students. Nowadays, with the rise of big data and artificial intelligence and the popularity of mobile intelligent electronic devices, it will be possible to teach students in accordance with their aptitude.

However, products without strong theoretical support are destined to be small waves in the ocean of the times and cannot afford huge waves.

Now all Internet education products on the market are just porters, moving traditional classrooms to the Internet. This can really instill a lot of knowledge into students more conveniently. However, due to the different learning foundation and state ability of students, the degree of mastery after class is also different. So it didn't take long for students to use it, but they still had to go back to the school classroom. Poor students still don't know how to study, how to think and how to deal with exams, so their frustration gradually increases, and finally they can only give up or be eliminated by the system. Such as how to use knowledge? Learn math or physics first? What should I do if my exam results have been stagnant? What should I do if my mind is numb when I study? How long do you study every day and how do you use it? Wait a minute. Before the most essential problem of this kind of learning is understood and solved by system science, any technology such as big data and cloud computing is rootless and meaningless. Because you can't fundamentally understand and solve the problem of learning.

Students who are confused study hard in the wrong direction and go further and further. Anxious teachers work silently on the road of deviation and drifting away. In order to explore the relevant factors affecting learning and explore the inherent laws of learning. Over the past ten years, Xin Lei, the founder of Xin Lei Education, has accumulated tens of thousands of students' tutoring experience through QQ, telephone, internet and face-to-face instruction, and summarized tens of thousands of learning factors that affect learning. Every learning factor here comes from students and is also applied to students.

Because every student has his own learning experience, different advantages and disadvantages, just like there are no exactly the same leaves in the world. Because of this, Xin Lei Education has given different learning plans according to the specific conditions of different students, and combined with tens of thousands of learning factors, the "Million Learning Plan" came into being. This is the result of ten years' accumulation of Xin Lei education team, and also the result of more than thirty years' study experience, extensive reading and in-depth thinking of founder Xin Lei.

As the dark clouds hanging over the exam are dispelled, the nature of learning becomes clearer and clearer.

If network and online education promote traditional education, then big data and artificial intelligence will realize the education of human beings in accordance with their aptitude.

In the past, the concept of teaching students in accordance with their aptitude was limited by space and teaching resources, which had great limitations. A student often can't get the learning resources he needs in time, but in the era of network and computer, the era of big data, this becomes possible. The powerful storage capacity of computers and the Internet can store and classify teaching resources, so that students can obtain learning resources anytime and anywhere with the shortest time and the shortest cost. But this is only a breakthrough in the way of information dissemination, and it can't really be integrated with students.

Xin Lei Education uses its theoretical basis and computer technology to accurately quantify tens of thousands of learning factors, such as psychological endurance, ferocity, calmness, brain clarity and other learning factors, and summarizes the relationship between learning factors, solidifying the experience and wisdom of excellent teachers with computer algorithms.

Students use Xinlei intelligent education software to record and test specific data such as students' mentality, body, learning and thinking through intelligent detection. Each student's thinking path, mentality change, learning ups and downs, physical condition and other learning factors can be reflected through big data, thus finding loopholes that students can't reflect in their test scores. Through the analysis of big data and artificial intelligence, each student can get a unique learning plan according to his own learning situation. Realize the seamless integration of computers and students, and realize the real educational intelligence. This is impossible and irreplaceable in traditional education. The education in Xin Lei has realized the seamless connection between computer and education, and established the irreplaceable role of computer in education.

The popularity of intelligent education will enable many poor students who have been eliminated for various reasons in today's education system to receive the most advanced education. In this way, anyone, at any age and at any education level can receive lifelong education.

Second, in the field of education, what is really valuable data? Detection, irreplaceable!

In the product of "Xinlei Intelligent Education", students' psychological changes, physical state, thinking level and other indicators are obtained through test questions, and these data are obtained when students already know. Due to the deviation of feelings and the subjectivity of students, the final data may not be absolutely accurate.

So, is this detection method irreplaceable? The answer is yes.

The process of testing may take a lot of time, but this process is a review of students' own learning, and it is also a process of better understanding themselves, correcting their thinking and improving their thinking. It is also a process that students must go through to improve their grades.

People may think that valuable data should be collected without students' knowledge, but the accuracy of human thinking and emotion is much higher than that of current electronic equipment, so a lot of information can't be detected by electronic sensors, but this part of data is completely vacant for human beings, but it is really valuable for learners.

In the field of education, from the perspective of big data, the use of big data only plays a icing on the cake for the data that have been accurately collected, such as time, grades and correct rate. For the accumulation of those fuzzy data, big data becomes meaningful.

Education in Xin Lei is based on big data, and personalized learning programs and strategies are formulated by mining and analyzing the indicators of students' learning factors. At the same time, with the accumulation of data, the scheme will become more and more accurate.

The accumulation and mining of data such as human thinking and learning factors, the linearization of discrete data, and the exposure of objective laws that cannot be described by mathematical models or formulas may be the most important significance of big data for education and even this era.

Humans will enter the era of intelligent detection and accumulate truly valuable data, thus making it possible to study human nature and teach students in accordance with their aptitude.