As one of the world’s three cutting-edge technologies (space technology, energy technology and artificial intelligence technology), artificial intelligence is a branch of computer science. Its goal is to construct agents that can show certain intelligent behavior. Artificial intelligence is a challenging science, and those who do it must know computer knowledge, psychology and philosophy, machine learning, computer vision, etc. In general, the goal of artificial intelligence is to make a computer a machine that can think like a human. The research of artificial intelligence is more carried out in combination with specific fields, the main research areas are expert systems, machine learning, pattern recognition, natural language understanding, automatic theorem proving, automatic programming, robotics, game, intelligent decision support system and artificial neural network. It is generally application-oriented, with the birth and development of artificial intelligence, people began to use computers in the field of teaching. At the same time, since the 1970s, expert systems with teaching ability have been developed. The achievements of artificial intelligence technology and expert system urge people to introduce the techniques of problem solving and knowledge representation into computer aided instruction (CAI), which is intelligent computer aided instruction (CAI).
In recent decades, with the increasing maturity of ARTIFICIAL intelligence technology, some of its research results have been successively applied to the field of teaching, promoting the development and reform of education and the process of teaching modernization. There is also consensus on the importance of ARTIFICIAL intelligence in teaching systems.
The role of ai in education
At present, AI is mainly involved in the following areas in educational technology:
1,Representation and access of knowledge
Knowledge representation based on artificial intelligence is based on knowledge objects, with computer hardware and software and computer science and artificial intelligence and expert system technology as tools, such as philosophy, psychology and logic methods and guidance, the knowledge expression into computer can deal directly with the “knowledge base”, using “smart” computer to simulate human experts or “human intelligence”, Rapid, accurate, automatic and scientific processing of knowledge. It does not belong to the usual “data” level of “data management or information management”, but to the “knowledge processing” or “knowledge” intelligent level. Its main content is the formal representation of knowledge, automatic reasoning, intelligent teaching or creation. Computer aided education is an important part of it.
Symbolic calculation includes numerical calculation, symbolic calculation and function drawing. Its representative software is Mathematica, and when it was first released in 1988, it had a profound impact on the way computers are used in technology and many other fields. When Mathematica 1.0 was released, Business Weekly listed it as one of the top 10 most important new products of the year. This marked the beginning of modern technological computing. Mathematica is also used extensively in education: there are hundreds of courses, from high school courses to graduate courses, that use it as a basis. With the release of various student editions, Mathematica has also become an important tool for students in a variety of majors around the world.
3,Automatic diagnosis of student errors
Using artificial intelligence technology, the teaching process of the system can automatically diagnose students’ learning level, not only can find students’ mistakes, but also can point out the root of students’ mistakes, so as to make targeted guidance or learning suggestions. And according to the characteristics of students automatically choose teaching content, automatic adjustment of teaching progress, automatic selection of teaching strategies and methods.
4, the realization of intelligent hypermedia teaching system
The hypermedia system has an ideal teaching environment, which is easy to stimulate students’ learning interest and initiative, but it cannot guarantee to achieve the expected learning purpose. Moreover, because they do not know the object to be taught, they cannot provide targeted guidance and teach students in accordance with their aptitude. The intelligent assisted teaching system is just the opposite. Combining the two, we can realize the complementary performance, so as to research and produce a new generation of high-performance intelligent hypermedia teaching system.