Last year, it seemed that artificial intelligence suddenly came to us. Google made a very interesting game, that is, AlphaGo defeated the Go champion in the Go game. Li Shishi's level will not change much in a year, but the level of the machine is constantly improving. Now human beings are no longer able to beat the machine. As long as the data is sufficient, artificial intelligence will get better and better. Artificial intelligence just doesn't have much meaning for us. It can solve many things in the future. There is a separate report from MIT and McKinsey, which means that almost 45% of work will be replaced by machines by 2035.
What impact does artificial intelligence technology have on our current and future education? I think there are mainly several aspects.
1. Artificial intelligence is a technology called data structuring, which can compile the currently collected data into a computer for analysis.
For example, the papers and homework that students do, this is an important part of the connection before and after the class. The previous work is finished, and now the machine can compile the completed work into data that the computer can process and analyze.
2, can make excellent experience model
Nowadays, the artificial intelligence technology of Keda Xunfei can review more and more Chinese and English essay questions, and can review more topics in the future. In the future, machines can turn more excellent activities into a model for the computer to run, thus replacing many tedious tasks.
3. Data-driven personalized teaching resources
This has already been seen in the morning observation class. Finally, we hope that each teacher has a teaching assistant. The teacher has only one pair of eyes and one pair of ears, but the machine can become a clairvoyant to help the teacher observe each student. Each student has a machine learning partner that helps students organize their study notes, discover problems in their studies, and help them learn more effectively. This machine has already started, and it can do better in the next few years. The key is data. All education experts must pay attention to the education data, because there are two kinds of data that are not renewable, and others can't expect you. One is medical data, only your own body, and one is the data that students learn. Only this student's learning is personalized.
A few key applications are also put forward.
The first is the structuring of quality teaching resources. We used to record classes, but recorded so many classes, how many classes can be used by later students? We are now talking about micro-courses, which are to find out some of the key small pieces in the live class. Now that you have the latest technology, you don't have to go to the micro video, because the video of the teacher's lecture has been cut into a paragraph, and each paragraph corresponds to the text search. If the student goes back and wants to retrieve the key video of the teacher's class, he can quickly Can get it.
The second is full-time interaction to learn to teach. Technology To create an online and offline environment, teachers and students, as well as students and students, school administrators, and teachers and students, can interact with each other across time and space. The advantage is that the problems of teaching and the knowledge of students can be found accurately and timely, and the efficiency of our classroom can be adjusted by learning to teach.
The third aspect is that the training is accessible. The oral exams in Guangdong Province and the oral exams in Jiangsu Province are both provincial exams. Xunfei provides back-end technical support, and all spoken data is evaluated by the machine. Now Beijing and Shanghai are also pushing.
The fourth is the support of virtual reality or augmented reality for teaching. It takes time for students to form an imaginative thinking process in some courses that require imagination. Today, I showed a VR lab in the Eighth Middle School. With virtual reality, students can very well understand the knowledge points that are hard to imagine.
The fifth is personalized teaching. After a large amount of learning data, the system can diagnose problems for students and finally push personalized learning resources to students. Before the University of Science and Technology, it cooperated with Beijing Normal University in the collaborative innovation project. This year we and the Beijing Normal University jointly built the National Engineering Laboratory of National Education Big Data. Next, we hope that more experts will work for us. The lab provides material.
The sixth is the evaluation of subjective questions. Now the English and Chinese essay questions can be evaluated, and the scores of the evaluation must be more accurate than the on-site teacher evaluation. This has been verified after many experiments. We and the Ministry of Education attacked a joint lab in March last year. Now the English composition in the 4th and 6th exams has begun to use this technology to evaluate one by one. It not only reduces the burden on teachers, but more importantly brings data. You may ask the teacher how to understand the students without reviewing the homework. This technique just makes these two connections. Every time the teacher has to review part of it, use this part of the data to train a teacher's model, and then review other, the teacher only needs to review 20% subjective questions in the future.
The seventh is about the stratification of the college entrance examination. How can the class schedule be better after 3+3? The solution is basically there. Through the entire intelligent search algorithm, we input the resources of the school teachers, the resources of the classroom, the number of students, and the interests of the students into the machine for decision-making, and then give the school an auxiliary schedule, and finally the experts adjust. This can greatly reduce the complexity of scheduling and improve the satisfaction of students' resources. This has been used in many areas, and will be very helpful for the management of our entire teaching.
The futurist and inventor Ray Kuzwell once said: "Continuous reduction of human suffering is the main driving force for continuous technological progress." The vision and original intention of technology development is good, and artificial intelligence is the same. Its original intention is to Free people from simple, mechanical, and tedious work, and then engage in more creative work. The mission of educating artificial intelligence should be to let teachers free up more time and energy, innovate educational content, reform teaching methods, and make education better.
At present, the application technology of artificial intelligence in the field of education mainly includes image recognition, speech recognition, human-computer interaction and the like. For example, through image recognition technology, artificial intelligence can free teachers from heavy corrections and marking work; speech recognition and semantic analysis technology can help teachers to conduct oral English test evaluation, and can also correct and improve students' English pronunciation; Interactive technology can help teachers answer questions online for students. Last year, the media reported that the Georgia Tech University's robot assistants replaced human assistants and students online communication. No student discovery, indicating the potential of artificial intelligence in this area.
In addition, educational applications of artificial intelligence such as personalized learning, intelligent learning feedback, and robotic remote education are also optimistic. Although the application of artificial intelligence technology in education is still in its infancy, with the advancement of artificial intelligence technology, its application in the field of education may deepen in the future, and the application space may be even larger.
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