Since 2017, under the background of policy encouragement, the outbreak of AI technology, and capital support, the AI+ education entrepreneurial boom has begun to rise, and the landing application of AI technology in the education industry has gradually increased.

Up to now, the landing scene of AI technology in the field of education mainly includes: language learning and testing; data-based classroom process assisted teaching; intelligent marking, personalized automatic scheduling system; adaptive learning, virtual learning assistants and expert systems; software and hardware combination of educational robots; intelligent campus integration solutions, has basically covered " The company's main goal is to provide the best possible service to its customers.

However, AI-enabled education at the same time there are many misunderstandings and misuse, many of these projects are from AI to find application scenarios in education, rather than from the actual problem of education to find AI-enabled.

It is undeniable that the combination of artificial intelligence and education is still in its infancy, and is far from meeting people's expectations, at the moment, what are the misunderstandings, what are the new opportunities for AI + education, how can AI + education really land, and how can AI + education be better integrated?

Recently, in the Blue Elephant Capital organized by the theme of "artificial intelligence in the field of education-related technology applications and development trends" sharing meeting, from the AI education industry, academia, industry service sector of the front-line practitioners, expressed their views.

Zhou Shuang, Managing Partner of Blue Elephant Capital, believes that although the application of artificial intelligence in the field of education is still in the exploratory stage, but from the nature of education, perhaps in the future, for the different needs of different educational purposes, can be differentiated into different grades, and in each grade, there will be new opportunities; good future AI Lab algorithmic scientists Yang Fei believes that with the development and refinement of AI technology, to achieve the full realization of the development and improvement of AI technology, it is important for the future of the industry. The development and improvement of AI technology, want to realize the full application of education roughly need to go through three stages: teaching assistance, value creation, according to the material teaching; You learn the world's vice president Ouyang Ming shared his thoughts on the integration of AI + education.

The following is the full text of the speeches of the three guests, Lei Feng network did not change the original intention of the editing:

Zhou Shuang, Managing Partner of Blue Elephant Capital: the predicament and opportunity of AI + education

The education industry is not the same as the Internet industry or other traditional industries, and the development trajectory and decision-making mechanism are not the same. development trajectory and decision-making mechanism is different. When AI is combined with education, I also see some concerns and opportunities from an investor's point of view:

1, big data + education, what kind of data is considered "big data"?

Currently, the application of big data in the field of education are intelligent correction, school buses, school meals, adaptive push questions, college entrance examination volunteering and so on. Education itself is a service-heavy industry with strong relevance, specialization and applicability, and there are certain difficulties in the application of big data.

The screening of the underlying data determines the final judgment results, the real big data should have the following characteristics (by IBM): Volume (large number), Velocity (high speed), Variety (variety), Value (low value density), Veracity (authenticity).

For example, using big data analytics to do college entrance examination volunteering consulting projects, from the BP I saw, many projects are using their own part of the data collected samples to deduce the whole. I question the scientific validity of such projects.

2, AI + education, the nature of education in mining new opportunities

History, artificial intelligence has experienced three waves of wind: the first wave, 1956-1974, the United States, perceptual neural network software and chat software; the second wave, 1980-1987, the United Kingdom and Japan, voice recognition, voice translation; The third wave, 2006, global, deep learning, image recognition, but ultimately "hang".

Everyone has a romantic fantasy of artificial intelligence in their hearts, but there is a gap between the ideal and the reality, and the ideal develops more slowly than the reality. Today in 2019, the convolutional neural network swept the world, once again igniting people's infinite yearning for super intelligence. So how should education share the technological dividends of this wave of artificial intelligence?

For the education sector, the scarcity of quality education resources and the liberation of quality teacher labor are problems that need to be solved. Blue Elephant, as a technology advocate, has always believed that science and technology is the only effective path to promote the development of education, to solve the problem of educational equity, and to achieve teaching according to ability.

But at present in China, there is no standardized measurement for the good and bad of education. For example, let the child learn the piano, the purpose is to let the child exam grade? Or to make the child happy? There is no standard answer to this matter, which also leads to the application of artificial intelligence in education, can not accurately measure what is good education, what is really suitable for the child's education, but also can not judge what kind of data should be collected, and whether these data are real and comprehensive.

Although the application of AI in the field of education is still in the exploration stage, but from the nature of education, perhaps the future for different educational purposes of different needs, can be divided into different grades, in each grade, there will be new opportunities.

Yang Fei, Algorithm Scientist at AILab: How does AI+Education land?

China as a developing country, although the overall level of education in recent years has improved rapidly, but the current education industry still has many problems, for example, the scarcity of high-quality educational resources, different regions, different schools, teachers are not balanced; teachers have a heavy workload, the efficiency of the classroom teaching needs to be improved; we are far from being able to do according to the material, to each child's The first step is to make sure that you can meet the individual needs of each child.

With the development and improvement of AI technology, it takes three stages to realize the full application of AI in education:

Stage 1: Teaching aid. The first stage is to apply some relatively fragmented technology to the teaching scene, but it is not related to the core process of teaching, only with the help of some tools to enhance the efficiency of the teaching process and optimize the teaching experience, to help teachers reduce the burden of work, such as: intelligent evaluation, intelligent correction, photo search questions, etc.;

The second stage is to create value. The second phase: value creation. Starting to take on some of the core aspects of the education process, through systematic and intelligent evaluation and analysis of the teaching process, to help students improve their academic performance, as well as to help teachers improve the value of their abilities, such as: the learning process evaluation, the whole process of learning situation analysis and management, etc.;

The third phase: tailored to the needs of the individual teacher. Start to gradually realize efficient personalized and humane interactive teaching, which requires strong interactive capabilities. Specific applications such as AI teachers, adaptive learning and so on.

At present, the comprehensive landing of AI in various scenes of education, there are still some challenges, but there is no doubt that, with the improvement of technology, the application of AI in the field of education will be more and more extensive, more and more in-depth, and ultimately to achieve the teaching of the teacher as the center of the change to the student as the center.

Ouyang Ming, Vice President of UCSD: Thinking about AI+Education Integration

We did some thinking about AI+Education Integration from the level of using Artificial Intelligence:

Firstly, researching the scene and finding the immediate need.

The premise of researching products is to y understand the use of product scenarios and find the real immediate needs. For example, artificial intelligence products should be developed in which direction of the problem, which place has the greatest demand or which place has the largest market, is the best direction for the development of artificial intelligence products.

In terms of the online courses we see today, this is probably the biggest market opportunity right now. Because traffic has become very expensive in this day and age, how to use AI to solve the traffic problem is an opportunity.

Furthermore, online courses want to do a good job of education services, you need a lot of artificial teaching assistants, the number of teaching assistants can account for almost 50% of the total number of enterprises or even more, their work, correcting assignments, communicating with parents, doing data analysis, and other issues of low efficiency can be achieved with the use of artificial intelligence to improve efficiency.

Second, people + AI, to have temperature.

In the process of our own exploration of the AI course business, I found that if we only do pure AI courses, in fact, the final product in the use of the effect is still a problem. Good AI + education, should be reasonable and effective to integrate the advantages of people and AI, people are good at things still done by people, and AI is good at things done by AI.

Third, less chicken soup, deep integration.

The arrival of each wave will set off a frenzy in the market, which has led to a relatively large expectation of AI + education now. In my opinion, when the market has not really large-scale development before, should choose a single point to penetrate him, do some deep integration, there will be some good opportunities.

Source | Lei Feng network, reproduced please specify the source

Note: The article is the author's independent views, does not represent the position of Soo56