Since alphago defeated professional go players many years ago, artificial intelligence has become the most common word in the media. Artificial intelligence is not an independent concept, but a combination of multiple applications, such as voice recognition, image recognition, text understanding and content generation. These technologies can be effectively adapted and combined according to industry characteristics, that is, the application of artificial intelligence in the field.

Researchers generally believe that with the education reform and the popularization of artificial intelligence, the construction of campus intelligence has also moved forward from digital campus to intelligent campus. Campus managers have been seeking to improve work efficiency and facilitate the collaborative education of teachers, students and parents. However, the traditional campus system construction can not adapt to the current school teaching, which requires a lot of manpower, material resources and time costs. The intelligent campus system supported by artificial intelligence technology came into being.

AI system helps to open up data islands

The reason why the Internet is great is that it has subverted tradition on another level, so there is a saying that Internet education gradually subverts traditional education.

However, common internet education modes are concentrated in online schools, and campus live broadcasting is the same as qualitative teaching mode. Like Yahoo in the early days, by manually stacking content and simply moving the offline mode to online, there is no way to completely solve the data island in education and the school’s education management decision-making for students.

However, with the development of artificial intelligence and machine learning, the problems that the Internet could not solve before have opened a door for newcomers with the evolution of technology. The “love” between man and machine produces a real miracle. The two-way division of labor of artificial intelligence will make education intelligent. Person, responsible for personalized vertical problem solving; Intelligent, responsible for massive data processing, giving people better strategies.

Take the Shenlan first-hand communication system application of Shanghai Jianqing experimental school for example. Through this artificial intelligence system, the school has realized the educational intelligent management of students’ learning statistics management, unmanned book borrowing, unmanned sports equipment receiving, etc.

In the laboratory, students can sign in by brushing their hands and enter laboratories with different topics to learn. In the sports room, students can open the cabinet to receive sports equipment such as handball by brushing their hands. Once such systems are laid in batches, it can help the school to establish a complete large database of learning behavior habits for students from kindergarten to high school.

Data is the “nourishment” of artificial intelligence. The key bottleneck of educational artificial intelligence lies in data. The data between different educational systems and platforms are not open and shared. The phenomenon of information island is serious. It is difficult to collect the data of the whole process of students’ learning. Without data, there is no intelligence.

The artificial intelligence system will open up the education data island, effectively help teachers analyze students’ interests and hobbies, and then carry out personalized teaching. Compared with the traditional teaching management mode, this kind of data management behavior also provides intelligent decision-making for personalized education and rational allocation of resources.

Artificial intelligence helps to intelligentize learning

If the traditional learning method is compared to a “tiger”, then artificial intelligence gives the “tiger” a pair of wings, and how the “tiger” will exert its power after adding wings is worth further discussion.

1) Automatic correction

Jonathan, a computer scientist, has developed a software that can correct English grammar. Unlike other software of the same type, it can understand the full text according to the context, and then make judgments, such as the subject predicate consistency of various English tenses, singular and plural, etc.

It will improve the accuracy of English translation software or program translation and solve the communication problems between different countries. The progress of speech recognition and semantic analysis technology makes it possible to automatically correct homework. For simple semantic grammar machines, they can automatically identify and correct errors, and even put forward modification suggestions, which will greatly improve teachers’ teaching efficiency.

2) Online Q & A of photo search questions

The popular photo search software from 2014 to 2015 all relied on intelligent image recognition technology. When students encounter problems, they only need to use their mobile phones to form photos and upload them to the cloud. The system can feed back the answers and problem-solving ideas in one to two seconds. Moreover, such software can not only recognize machine-made questions, but also recognize handwritten questions more and more accurately. At present, it has reached more than 70%, It greatly improves students’ learning efficiency.

3) Feedback and evaluation of teaching system

Imagine a scenario. When a student inquires about his final grade, he sees not only a simple score, but also a “diagnosis report”. Through this report, he can not only learn about his knowledge points and ability points in the discipline, but also see the discipline analysis of his own strengths and weaknesses. Through these data for each student to “portrait”, so as to find ways to improve performance. With the help of big data, this is to diagnose the differences in students’ knowledge, ability structure and learning needs through the statistics of students’ learning growth process and results, so as to help students and teachers obtain real and effective diagnostic data.

Students can clearly see the problems and learn more efficiently; Teachers can also choose different teaching objectives and contents, implement different teaching methods, and further improve the pertinence, effectiveness and scientificity of teaching and learning.

4) Monitoring of students’ concentration in class

It is the most troublesome problem for every educator to let students concentrate on their study and listen to the class well. For a teacher who manages dozens of students in a class, it is almost impossible to clearly know that student listened carefully or understood the course, but artificial intelligence will analyze the students’ listening in class.

Several companies, such as content technologies, Carnegie learning and deepblue technology, use artificial intelligence technologies such as computer vision technology, posture recognition and emotion recognition to analyze students’ actions and behavior in class, help teachers and parents better understand students’ emotions and learning status, and improve teaching methods in time through intelligent decision-making, so that students can get better education.

The above is only the individual application of artificial intelligence in education. More artificial intelligence is being applied to education, including artificial intelligence tutors, intelligent content development, and new methods for teachers’ personal development through virtual technology.

Prospects for the future of artificial intelligence education

At present, the application of artificial intelligence technology in education is mainly reflected in image recognition, semantic recognition, speech recognition and so on. Although these technologies have been applied, they are still in the primary stage. More exploration is needed in technology and application scenarios.

Although educators, psychologists and parents have different views on AI education, AI and machine learning, a new technology, are changing the future of education.

What artificial intelligence will achieve in the future is the close combination with the teaching management mode and the close fitting with human beings. Even in the future, it can achieve “thinking is learning”, so the tool connecting people and teaching knowledge will no longer be just needed. Whether the role of teacher exists is unknown.

Responsible editor: CT

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