Artificial intelligence is an important branch of modern computer science, involving computer science, information science, psychology, philosophy, physiology and other fields. It is a new frontier subject with strong comprehensiveness. Since 2 1 century, with the deepening of artificial intelligence research and the development of educational informatization, people have gradually attached importance to the application of artificial intelligence in the field of education. Many domestic experts and scholars have conducted in-depth research on the application of artificial intelligence in education and teaching from different angles and achieved fruitful results.

1 artificial intelligence and its research field

The study of artificial intelligence can be traced back to the formal logic and deductive reasoning called syllogism put forward by the ancient Greek philosopher Aristotle in his book (instrumentalism). Since 1956, artificial intelligence has developed rapidly as a new discipline. For more than half a century, artificial intelligence has been studied from the perspectives of problem solving, logical reasoning and theorem proving, natural language understanding, games, automatic programming, expert system, learning and machine enrollment, and has achieved remarkable research results in many fields. Like other applied disciplines, the research of artificial intelligence is combined with specific applications. At present, the main research fields of artificial intelligence are: expert system, machine learning, pattern recognition, natural language understanding, robots, artificial neural networks, games and games.

Expert System (Expert Sy~em) is an intelligent computer program, which uses knowledge and logical reasoning to imitate human experts to solve complex problems in related fields.

Machine learning is an important symbol of machine intelligence and the fundamental way for machines to acquire knowledge. Machine learning mainly studies how to make computers simulate and even realize human learning functions, such as human learning mechanisms and learning methods. Pattern recognition (Pa~em Recognition) is to enable computers to recognize given events and classify them into the same or similar patterns. The main goal of pattern recognition is to simulate human's various recognition abilities with computers. At present, it mainly simulates visual and auditory abilities and is used for pattern recognition and speech recognition.

Language processing is to study how to make computers understand human natural language and the ideas it expresses. The purpose of studying natural language understanding is to improve the ability of human beings to interact with computers, so that human beings can communicate with computers in a natural language way more conveniently. A robot is a machine that can perform the same actions and functions as human beings under certain circumstances. It can be applied to many fields, such as industry, agriculture, national defense, education, medical care and so on, and has an inestimable role in the development of modern society.

The research of artificial neural network began in the 1940s. It is a computer system with several simple processing units interconnected in a specific way, which is used to simulate the structure and function of the nervous system of the human brain. Artificial neural network has been successfully applied to many aspects of artificial intelligence, and it has unparalleled advantages in imitating biological neural computing functions.

Games are mainly about studying countermeasures and fighting wits, such as chess and cards, strategy games and other intellectual activities. Based on problem solving and pattern recognition, the game can best reflect the advantages of artificial intelligence technology.

2. Application of artificial intelligence in modern education.

With the development of artificial intelligence technology and the deepening of educational informatization, the application of artificial intelligence technology in modern education has been paid more and more attention. Analysis of the current situation, the application of artificial intelligence in modern education mainly includes the following categories.

2 1 Intelligence/utoringSystem

Intelligent teaching system is one of the important applications of artificial intelligence technology in education, and it is the further development of computer-aided teaching (CAD) related research. Intelligent teaching system aims to create an excellent learning environment for students, so that students can call all kinds of resources conveniently and quickly and receive all-round learning services, thus achieving success in learning. At present, intelligent teaching system mainly relies on intelligent agent technology. By establishing teachers' subject, students' subject and teaching management subject, we can formulate and implement corresponding teaching strategies according to the characteristics of different students and provide personalized teaching services for students. Distributed intelligent teaching system based on network is the latest development direction of intelligent teaching system, which can make students who were originally scattered in different regions study together in a virtual environment, make full use of network resources, give full play to learners' initiative and bring better teaching effect.

2,2 Intelligent Network Examination System At present, paperless examination has become an important new examination form. Broadly speaking, paperless examination includes the establishment and management of question bank, topic selection, examination and computer marking. It not only revolutionizes the traditional paper examination in form, but also greatly improves the design and evaluation of the examination. The invention has the advantages of low cost, low efficiency, good confidentiality and high consistency of test papers. Even under many restrictions, it can still generate test papers that meet the requirements according to the given strategy of generating test papers. At the same time, the network-based question bank can collect the classic exercises written by teachers, share the success of teachers' work and ensure the high quality of test papers. Using artificial intelligence marking system can effectively identify test papers and reduce the number of mistakes. , greatly improving the efficiency of the marking process. 2,3 Intelligent decision support system Intelligent decision support system is one of the important applications of artificial intelligence, which is the combination of artificial intelligence and decision support system. Through the application of expert system, decision support system can fully apply human knowledge, such as descriptive knowledge about decision-making problems, process knowledge in decision-making process and reasoning knowledge for solving problems, and help solve complex decision-making problems through logical reasoning. Intelligent decision support system is mainly composed of database, model base, method base, man-machine interface and intelligent components. At present, intelligent decision support system has become the main development direction of decision support system, which shows great development potential and bright prospects in the application of online education. 2,4 Intelligent Simulation 7 Technology Experimental Teaching is an indispensable teaching link in distance education, but at present, online teaching platform based on teaching and educational administration rarely involves experimental teaching content. Intelligent simulation technology is a high integration of artificial intelligence and simulation technology, and strives to overcome the limitations of traditional simulation models and modeling methods, as well as the problems of laborious modeling, monotonous interface and puzzling results. To some extent, intelligent simulation system can replace simulation experts to complete the steps of modeling, designing experiments, understanding and evaluating simulation results, and has certain learning ability. Using intelligent simulation system to develop experimental teaching courseware can greatly save manpower and material resources, reduce development cost, speed up development and shorten development cycle.

abstract

Artificial intelligence technology is changing people's way of thinking and traditional concepts, and improving human knowledge and language. Since the birth of artificial intelligence and artificial intelligence science, its research and application fields are closely related to education. Artificial intelligence is the study of science and technology to educate computers and improve their intelligence. The research results of artificial intelligence are applied to the education process in turn, which promotes the efficiency of education and produces a new teaching model. In short, with the progress of artificial intelligence, it will be more widely used in the field of education, thus continuously promoting the development of education in China.