What are the misunderstandings of AI+ education? How to better integrate?

Since 20 17, under the background of policy encouragement, the outbreak of artificial intelligence technology and capital blessing, the upsurge of AI+ education entrepreneurship has begun to rise, and the application of artificial intelligence technology in the education industry has gradually increased.

Up to now, the landing scenes of artificial intelligence technology in the field of education mainly include: language learning and testing; Data-based classroom process-assisted teaching; Intelligent marking and personalized automatic course arrangement system; Adaptive learning, virtual learning assistant and expert system; Educational robot combining software and hardware; The smart campus integration solution has basically covered the whole industrial chain of "teaching, learning, examination, evaluation and management".

However, there are also many misunderstandings and misuses in AI empowerment education. Many projects are looking for application scenarios in education from AI, rather than looking for AI empowerment from practical problems in education.

Undeniably, the combination of artificial intelligence and education is still in its infancy, far from meeting people's expectations. What are the misunderstandings and new opportunities of AI+ education at present? How does AI+ education really land? How can AI+ education be better integrated?

Recently, at the sharing meeting hosted by Blue Elephant Capital with the theme of "Technology Application and Development Trend of Artificial Intelligence in Education-related Fields", frontline practitioners from AI education industry, academia and industry service industry expressed their views.

Zhou Shuang, executive partner of Blue Elephant Capital, believes that although the application of artificial intelligence in education is still in the exploratory stage, from the nature of education, perhaps the different needs of different educational purposes in the future can be divided into different levels. In every grade, there will be new opportunities; Yang Fei, a good future AI Lab algorithm scientist, believes that with the development and perfection of artificial intelligence technology, it takes three stages to be fully applied to education: teaching assistance, value creation and teaching students in accordance with their aptitude; Ou Yangming, vice president of Youxue Tianxia, shared his thoughts on the integration of AI+ education.

The following is the full text of the speeches of three guests. Lei Feng. Com edited and arranged them without changing the original intention:

Zhou Shuang, Blue Elephant Capital Management Partner: Difficulties and Opportunities of AI+ Education

Compared with the Internet industry or other traditional industries, the development track and decision-making mechanism of the education industry are different. When artificial intelligence is combined with education, I also see some worries and opportunities from the perspective of investors:

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

At present, the applications of big data in the field of education include intelligent correction, school bus, school meals, self-adaptive push questions, college entrance examination volunteers and so on. Education itself is a service-oriented industry with strong pertinence, professionalism and applicability, and the application of big data is difficult.

The screening of the underlying data determines the final judgment result. Real big data should have the following characteristics (according to IBM): volume (mass), speed (high speed), diversity (diversity), value (low value density) and authenticity.

For example, using big data analysis to do college entrance examination volunteering consulting projects, from the BP I have seen, many projects use some data samples collected by themselves to infer the whole. I doubt the scientific nature of such a project.

2, artificial intelligence+education, exploring new opportunities for the nature of education.

Historically, artificial intelligence has experienced three waves: the first wave, 1956-1974, USA, perceptual neural network software and chat software; The second wave, 1980- 1987, Britain and Japan, speech recognition and translation; The third wave, in 2006, global, deep learning, image recognition, but finally "hung up".

Everyone has romantic illusions about artificial intelligence, but there is a gap between ideal and reality, and ideal develops more slowly than reality. Today, 20 19, convolutional neural networks swept the world, once again igniting people's infinite yearning for super intelligence. Then, in this wave of artificial intelligence, how can education share the technology dividend?

For the field of education, the scarcity of high-quality educational resources and the liberation of high-quality teachers' labor force are all urgent problems to be solved. As a Scientologist, Blue Elephant always thinks that science and technology is the only effective way to promote the development of education, solve the problem of educational equity and realize teaching students in accordance with their aptitude.

But at present, there is no unified standard to measure the quality of education in China. For example, let children learn piano in order to get into the exam? Or to make children happy? There is no standard answer to this matter, which leads to the fact that in the application of education, artificial intelligence cannot accurately measure what is a good education and what is really suitable for children, and it is impossible to judge what kind of data should be collected and whether these data are true and comprehensive.

Although the application of artificial intelligence in the field of education is still in the exploratory stage, from the essence of education, it may be possible to distinguish different levels for different educational purposes in the future, and each level will have new opportunities.

Yang Fei, a good future AILab algorithm scientist: How does AI+ education land?

As a developing country, although China's overall education level has improved rapidly in recent years, there are still many problems in the current education industry, such as the scarcity of quality education resources and the imbalance of teachers in different regions and schools; The workload of teachers is heavy, and the efficiency of classroom teaching needs to be improved; We are still far from teaching students in accordance with their aptitude, and it is difficult to meet the individual needs of each child.

With the development and perfection of artificial intelligence technology, it takes three stages to fully apply it to education:

The first stage: teaching assistance. That is to say, some relatively scattered technologies are applied to the teaching scene, but the core process of teaching is not involved. Only some tools can improve the efficiency, optimize the teaching experience and help teachers reduce the workload, such as: intelligent assessment, intelligent correction, photo search and so on.

The second stage: value creation. Begin to undertake some core links in the education process, and help students to improve their academic performance and teachers to enhance their ability value through systematic and intelligent evaluation and analysis of the teaching process, such as evaluation of the learning process, analysis and management of the whole process of learning, etc.

The third stage: teaching students in accordance with their aptitude. Strong interactive ability is needed to gradually realize efficient personalized and humanized interactive teaching. AI teachers, adaptive learning and other specific applications.

At present, there are still some challenges in the comprehensive application of artificial intelligence in various educational scenarios, but there is no doubt that with the progress of technology, the application scenarios of artificial intelligence in the field of education will become more and more extensive and in-depth, and eventually the teaching will be changed from teacher-centered to student-centered.

Ou Yangming, Vice President of Youxue Tianxia: Reflections on the Integration of AI+ Education

From the perspective of using artificial intelligence, we have made some thoughts on the integration of AI and education:

First, study the scene and find what you need.

The premise of studying products is to deeply understand the usage scenarios of products and find what you really need. For example, the question of which direction artificial intelligence products should develop, where the demand is greatest or where the market is largest, is the best direction for the development of artificial intelligence products.

This may be the biggest market opportunity for the online courses we see today. Because the traffic has become very expensive in this era, how to solve the traffic problem with artificial intelligence is an opportunity.

Furthermore, online courses need a large number of artificial teaching AIDS, which can account for almost 50% or more of the total number of enterprises. In their work, inefficient problems such as correcting homework, communicating with parents and doing data analysis can all be improved by artificial intelligence.

Second, people +AI should have temperature.

In the process of exploring the business of AI courses, I found that if I only do pure AI courses, the use effect of the final product is still problematic. Good artificial intelligence+education should reasonably and effectively integrate the advantages of people and AI. People are good at it or people do it, and AI is good at it.

Third, less chicken soup and deep integration.

The arrival of each wave will set off market fanaticism, which also leads to great expectations for artificial intelligence+education. In my opinion, before the market has really developed on a large scale, we should choose a single point to penetrate it and do some deep integration, which will have some good opportunities.

Source | Lei Feng Net. Com, please indicate the source.

Note: The article is the author's independent opinion, and does not represent Soo56' s position.