Explore the application of artificial intelligence in computer network education

Computer network is one of the most basic information technologies in today's society, and it is also an important discipline in the field of computer science and technology. With the development of Internet technology, the application range of computer networks is becoming more and more extensive, which plays a very important role in people's learning, work and life. As an emerging technology, artificial intelligence is developing rapidly and showing a wide range of application prospects in different fields. In the field of computer network education, the application of artificial intelligence is also becoming increasingly important, which can provide students and teachers with more intelligent and efficient teaching and learning methods, shorten students' learning time, and improve learning effectiveness. At the same time, artificial intelligence can also provide better solutions for the management and security of computer networks, ensuring the normal operation of the network and the security of user information.

Computer network education is a new teaching mode based on modern information technology, guided by modern educational thinking, and educated through computer network technology, multimedia technology, communication technology, distance education and other technical means and methods. It organically combines modern information technology with advanced teaching methods and gives full play to the advantages of computer network teaching.

Artificial intelligence technology is a comprehensive interdisciplinary discipline, its research content includes cognitive science, neuroscience, computer science and information theory, and its research methods are modeling, recognition, reasoning and planning. Artificial intelligence takes imitation of human intelligence as the core and aims to achieve the intelligence of machines. Artificial intelligence is a multidisciplinary discipline involving psychology, cognitive science, information theory, control theory and so on. There are three main aspects in the field of artificial intelligence: intelligent computer technology, expert systems, and machine learning. The core problem of artificial intelligence technology is to make computers have the ability to think, judge and respond to various situations, of which computer vision is currently the most rapidly developing technology. After more than half a century of development, computer vision technology has become increasingly mature. With the maturity of key technologies such as image acquisition, processing, and recognition, computer vision has entered the practical stage.

With the popularization of computer and Internet technology, computer networks play an increasingly important role in society, and computer networks are also widely used in the field of education. With the wide application of information technology, multimedia technology and network technology in mainland universities, computer network education has developed rapidly with its unique advantages. In order to meet the new requirements of social development for talent training, further promote the reform of higher education teaching, cultivate application-oriented talents, and meet the demand for high-level and high-quality talents in social and economic construction, the mainland government began to formulate policies and regulations to promote computer network education in colleges and universities. With the rapid development of computer and Internet technology in mainland China and the increasing demand for computer and Internet technology applications from all walks of life, mainland universities have begun to actively explore computer network education.

Online education promotes the sharing of educational resources, changes the concept of "classroom" and "school" in traditional teaching, and promotes the connection between school and society. Online educational resources can effectively provide a new solution for the connection between school and society, it is disseminated through the network, and students can enter the learning resource library to find the teaching materials they need through the computer. The flexibility and convenience of online education to better improve students' motivation to learn.

In recent years, with the rapid development of mainland social economy and the rapid popularization of information technology, artificial intelligence has also been applied to a certain extent in the field of education. The introduction of artificial intelligence technology in computer network education can realize the monitoring and evaluation of students' learning process and learning outcomes, and use this as a basis for personalized teaching of students.

Application of artificial intelligence technology in the educational process. According to the development of artificial intelligence research, artificial intelligence technology can be applied to different stages of education, and it can be divided into five levels from the early stage of education to the mature stage: First, the perception layer: the perception layer is the first level of artificial intelligence technology applied to education, which refers to the use of intelligent technology to perceive the physiological state and psychological state of students. At this level, students are able to track and record it through intelligent technology, analyzing and processing their learning behavior. The second is the analysis layer: the analysis layer refers to the use of intelligent technology to analyze the psychological and physiological states of students, and predict students' learning behaviors and learning results on this basis. At this level, students can monitor students' learning status, psychological state and physiological state through intelligent technology, and provide personalized learning guidance for students. The third is the decision-making layer: the decision-making level refers to the use of intelligent technology to analyze and process students' learning behaviors and results, and make teaching decisions for students. At this level, teachers can formulate corresponding teaching strategies and provide corresponding teaching resources according to teaching objectives and students' actual conditions. The fourth is the feedback layer: the feedback layer refers to the use of intelligent technology to feedback and analyze students' learning behavior, and timely correct the problems that occur in the learning process of students. At this level, teachers can collect various information generated by students in the learning process through intelligent technology, and then use this information to analyze the problems encountered by students in the learning process and the reasons for these problems. Fifth, the application layer: the application layer refers to the use of intelligent technology to guide and control teaching activities, such as guiding teachers how to better integrate various educational resources into teaching activities in the teaching process to achieve expected teaching effects. At this level, teachers can adjust and optimize teaching content in time according to students' mastery of learning content.

Artificial intelligence technology to update the construction of the education system. Artificial intelligence technology has the characteristics of autonomy, openness and adaptability, which can realize the optimization of the learned knowledge and improve the learning efficiency through the learning and analysis of massive data. The following systems can be reconstructed using artificial intelligence technology to further improve the quality of computer network education.

Artificial intelligence technology can have a positive impact on computer network education. The first is to integrate and optimize teaching resources. For example, the online learning system connects learners with teachers, so that teachers can adjust teaching strategies in time according to learners' learning progress and learning effects. The second is the ability to re-establish the learning resource library. Cloud computing technology and artificial intelligence algorithms are used to store all the learning materials, test papers and other learning resources left by learners in the network, which can be called by teachers at any time. The second is to help students personalize their learning. Students can choose different teaching methods according to their own learning situation, such as explanatory, heuristic, free discussion, etc. This allows students to meet expectations within a limited time and can greatly improve the quality and efficiency of teachers' teaching. This is followed by the ability to monitor student learning in a comprehensive manner. Through the behavior analysis of students, the corresponding behavior patterns and personality characteristics are established, so as to provide students with personalized learning services. Finally, intelligent assessment tools can be used to comprehensively evaluate teaching content and teaching objectives, identify problems and deficiencies in a timely manner, and adjust teaching strategies.

In summary, as an emerging teaching method, computer network teaching has become increasingly perfect, while artificial intelligence technology has achieved more and more obvious results in computer network teaching because of its advantages of wide information dissemination and high teaching efficiency. This paper briefly introduces artificial intelligence technology, analyzes the problems existing in the current online education and the difference between online education and traditional education, and lists the application methods and improvement directions of artificial intelligence technology in computer network education. With the gradual maturity and improvement of artificial intelligence technology, the era of its large-scale application in computer network education is not far away, and the application of this technology in computer network education will surely benefit more students, provide convenient and comprehensive information resources for students, make students' learning experience go further, and cultivate more outstanding talents for the construction of socialism in the mainland. (Author: Dong Yan, Senior Engineer, Northeast Normal University)

Source: Guangming Web