# 5G Joint Artificial Intelligence Technology in the Innovation and Reform of University English Education

Authors: Xia Sun
Journal: Wireless Communications and Mobile Computing
 (2021)

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## Abstract

This paper considers the issue of human subjectivity in the system of “5G + AI+Education” from the perspective of, on the one hand, the real need for the problems that gradually emerge in the new round of development and application of artificial intelligence, and a philosophical reflection on the application of artificial intelligence in specific fields, on the other hand. It is also a further examination of the issue of human subjectivity in the new context. On the other hand, it is also a further examination of the issue of human subjectivity in the new context of the times, which can also provide students with an immersive learning environment, and AI artificial intelligence and hologram technology can enhance students’ motivation. This paper shows the specific steps and implementation measures of “5G” technology into online oral teaching and provides a case study design to explore the new online oral teaching model, summarizing the advantages and proposing solutions to the shortcomings. The system visualizes each step of gesture recognition to facilitate students’ understanding. Students can experience the process of gesture recognition according to the guidance of the interactive interface, and then, the complex and abstract gesture recognition process is explained with a figurative example, which is conducive to primary and secondary school students’ deeper understanding and improved logical thinking. This will help primary and secondary school students to have a deeper understanding and improve their logical thinking skills. Finally, a comparison experiment is designed to verify the effectiveness of using this system to learn AI knowledge compared with traditional learning methods. The experimental results are analyzed to prove that using this system to learn AI knowledge is effective and helps improve users’ interest in learning and hands-on ability.


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## Body

## 1. Introduction

In recent years, with the rapid spread of AI technology in life, production, and learning, our society is currently accelerating into such an era, where people and AI work and live together in an AI era. In the context of such an era, it is a matter of urgency to develop AI education to provide students with some exposure and understanding of AI and to better adapt to working and learning in today’s smart life. Most international students from around the world were unable to return to school to conduct classes, which meant that online instruction became the primary, if not the only, method of instruction for teaching majors [1]. However, the online speaking courses during the epidemic also revealed many problems, such as the different situations of the teaching audience, the complexity and variety of teaching platforms, and the difficulty in conducting classroom exercises. Online teaching is difficult for students to feel the real communication environment, and some students may be afraid to speak in class due to lack of confidence, or even never participate in practice. Teachers are unable to get a real sense of the student’s state of mind, communication is difficult, and the quality of teaching is greatly compromised. Teachers are faced with unprecedented challenges when teaching spoken Chinese online [2]. As time progresses, teaching methods need to be constantly updated. The goal of the language is communication, and the traditional mode of teaching oral language can no longer meet the teaching needs of teachers and the learning needs of learners. By using 5G technology to develop a new model of teaching oral language, we can improve learners’ motivation and help them master the skills of speaking Chinese better on the one hand, and teachers can update teaching materials and enrich classroom content to achieve the teaching purpose more easily and quickly on the other hand.In recent years, with the continuous improvement of deep learning, algorithm models gradually improved, the circulation and sharing of data resources, not only to make artificial intelligence in all occupations, the process of landing applications significantly accelerated, but also formed a strong thrust to promote the transformation and upgrading of traditional industries. For the transformation and upgrading of traditional industries to inject a strong thrust [3] are by their accumulation of massive data so that artificial intelligence in the commercial application of the big show. For schools, the application of artificial intelligence will change the existing school-running form, expand student learning space, help form a student-centered learning environment, and help alleviate the shortage of excellent teachers and the lack of English teaching resources in impoverished areas. For teachers, artificial intelligence technology has the advantages of personalized and accurate testing of English proficiency, real-time and accurate correction of English pronunciation, flexible and intelligent assessment of oral ability, and efficient and accurate recording of teaching data [4]. It can assist teachers in preparing lessons and remove teachers from simple and repetitive tasks such as correcting homework. It is freed from the work of the students to implement personalized guidance and evaluation for students, thereby improving the quality of teaching and improving teaching efficiency. For students, the emergence of artificial intelligence products for English learning has changed the traditional learning methods that students can only obtain knowledge from teachers and textbooks; on the other hand, it provides students with more personalized learning channels and learning methods, so personalized learning has gradually become the mainstream form, thereby improving students’ learning experience and helping students learn English faster and better [5].The main purpose of this research paper is to address the needs of social practice. It is well known that many mature disciplines have little potential for valuable research. Educational technology is precisely an immature discipline. Educational technology itself is multidimensional, developed based on a synthesis of multidisciplinary theories and technologies, and it has great potential. However, existing research has been zigzagging forward, and some even say that research related to the discipline has stopped, which is the process of zigzag development that the discipline is bound to go through. The in-depth reflection on the prospects of educational technology development reflects a profound exploration of the discipline. Educational technology is a discipline that studies the nature, concept, formation, and development, and types of educational technology as its research object. Educational technology has existed since the first-day education was created. However, only when educational technology develops to a certain stage does the discipline needed by society—educational technology—gradually emerge. The development of the discipline of educational technology is closely related to the development of technology, and the research content of the discipline of educational technology will change accordingly with technological progress and social development, and it will also be influenced by the changing needs of human beings. Educational technology has a long history of development, is an important aspect of educational activities, and is playing an increasingly important role in an ever-changing society. This is based on the results of the continuous development of modern science and technology, which is what has given educational technology a richer connotation.


## 2. Current Status of Research

Educational artificial intelligence is a new research field that investigates the integration of artificial intelligence with educational activities, and the goal it pursues is to create conditions for student learning by observing and understanding the learning process [6]. Austin pointed out that educational artificial intelligence focuses on better student engagement through computers and teaching platforms to help teachers teach more effectively [7]. In addition, some scholars have discussed the application of AI in teaching, the challenges AI faces or will face in its application and educational activities, and the future direction of educational AI [8]. Every year, the development trend of modern technology application in education teaching is predicted, from which it is obvious that the application of AI and other technologies in education is driving unprecedented innovation and reform in education, in which AI shows the most powerful boost [9]. In addition, Tingzhou et al. have studied the impact of the application of AI technology on the learning process of students while proposing methods to optimize the factors that influence learning and make AI technology more relevant and practical to combine with education [10]. Tiffany Barnes, for example, analyzed and concluded that the application of AI technology can be an effective tool to promote learning and teaching efficiency through the application of AI in computer teaching. Rahim et al. explain what benefits the Internet can bring to teaching and learning [11]. It is mentioned that Internet applications not only help to improve the richness of teaching content but also help students to break through the time and space constraints and make better use of fragmented time for learning. Of course, Internet applications can also help teachers improve their teaching theories, understand students’ learning needs, and ensure teaching quality.The Knewton Adaptive Learning Platform not only collects data from students’ online learning but also accurately analyzes and predicts students’ proficiency in theoretical knowledge and practical processes and further analyzes students’ interests and expectations and recommends appropriate content for continued learning based on the data collected and analyzed [12]. Some researchers have analyzed Purdue University’s “Curriculum Signals” project, which has shown that the project can influence the process of educators’ teaching activities and learners’ learning process, use learning analytics to help educators understand the real learning situation of learners, and propose strategies and measures to improve teaching and learning in terms of learning patterns. MOOC Buddy, a teaching robot serving the MOOC platform, can collect learners’ relevant learning data and analyze learners’ characteristics [13]. Through a series of effective analyses and feedback, the teaching-learning relationship between teachers and students can be made closer, and the teaching effect can be better presented while the students’ learning efficiency and learning quality can be improved to a greater extent to realize personalized education. Pitić et al. explain that distance learning may become an indispensable part of future education and teaching in the context of the 5G era [14]. The authors make a more profound study of the online and offline as well as distance learning models through the situation reflected by the online teaching during this epidemic. Some of the current problems of distance learning are analyzed, and the prospects for development are projected.Therefore, this paper starts from the perspective of the study of human subjectivity in the system of “AI + education”, which is not only a reflection on the real problems highlighted by the application of AI in the new era from the philosophical aspect but also a further examination of the issue of human subjectivity in the new context of the times, which is a specific aspect of the issue of human subjectivity. In-depth study, which is conducive to the further development of artificial intelligence and the further strengthening of human subjectivity, is increasingly dazzling vibrancy.


## 3. 5G Joint Artificial Intelligence Technology in University English Education Innovation and Reform Application Design

### 3.1. 5G Joint Artificial Intelligence Technology Design

AI technology [15, 16] has always been a technology that has been pursued and studied in-depth in this era, and the birth of 5G communication technology has had a profound impact on AI technology, which has been able to develop rapidly with the support of 5G technology, which is characterized by its ubiquitous network and the Internet of Everything, which can have a profound and positive impact on AI technology. This impact can be seen everywhere around us now, making it possible for us to get the first glimpse of AI technology. The city we live in is constantly being updated because of the rapid development of AI technology, whether it is cars, streetlights, cameras, or utility access hole covers [17]. 5G + AI technology is still very much in practice in the teaching field. Teachers can understand students’ learning psychology and status promptly. The combination of teachers and AI technology can primarily help teachers to make effective classroom designs based on data analysis. It further promotes the implementation of the education idea of teaching according to students’ abilities. We can develop different learning plans for different students, study different teaching strategies, and set up and distribute different teaching contents according to different students’ characteristics as much as possible.Second, AI is also very helpful for teachers to improve their teaching level. In the absence of AI, teachers can only change their teaching strategies by their own teaching experience or the problems reflected by some students. Often, teachers do not know whether students are adapting to their lecture style or whether students have mastered what they are doing to teach. In the traditional form, teachers usually verify the appropriateness of their methods through regular testing, as well as to understand how well students have mastered the knowledge points. The use of artificial intelligence can help teachers adjust their teaching methods, enrich their knowledge base, and understand the students’ acceptance level, making education more humane and personalized. With the rapid development of 5G, teaching, as an important window for Chinese culture dissemination, should be more innovative in education and teaching methods. For example, VR/AR can be incorporated into the classroom to give students an immersive learning experience; through distance learning, explore the teaching mode of dual-teacher classroom and master classroom to balance teaching resources; take advantage of big data analysis to collect learning data and customize personalized teaching programs according to students’ characteristics; give full play to the advantages of sharing network resources and continuously expand the existing teaching materials to realize teaching materials sharing. When our Chinese language teaching workers and teachers of Confucius Institutes teach abroad with new teaching methods, they not only show the world our world-leading technology level but also can effectively improve the quality of Chinese language teaching, as shown in Figure1.Figure 1
5G college English education joint artificial intelligence.Second, online teaching teachers can choose to record or live-stream their lessons. Some teachers upload the video footage of the class to the platform in advance of the class to increase the time for oral practice in the class. Both the video of the class and the teaching material can be saved for a long time so that students can watch it anytime and anywhere. If students do not hear something in class or do not understand it well, they can study it carefully after class [18]. This approach breaks the time and space constraints and helps students to grasp the knowledge points better. Some of the online teaching software nowadays is equipped with an automatic test paper correction function, and the corrected data will be analyzed twice and pushed to the teacher. The teacher can test the students’ learning results in the classroom and produce the results in the classroom, which can help students to focus on the class. It not only ensures teaching effectiveness but also improves teachers’ teaching efficiency. According to the system’s data analysis, teachers can personalize after-class assignments and conduct targeted teaching. Nowadays, some online teaching software has the function of automatic correction of test papers, and the corrected data will be analyzed twice and pushed to teachers. Teachers can test students’ learning results in the classroom and produce grades in the classroom, which can help students focus on their lessons. It not only ensures teaching effectiveness but also improves teachers’ teaching efficiency. Based on the system’s data analysis, teachers can personalize after-class assignments and conduct targeted teaching.The Butterworth filter is suitable for use as a bandpass filter because it has a smooth frequency response curve in the passband, and the system function is chosen as the Butterworth function, whose amplitude squared function is expressed in the following equation.(1)Hjw2=11−ε2jΩ/jΩc2N,(2)N≤lnλs.The classical wavelet denoising method also has the disadvantage that a better denoising effect can be obtained by estimating the noise variance for noisy signals, but this is not the case when the noise is small. Because the background noise in sEMG is generally considered to satisfy the Gaussian model. Therefore, in this paper, the estimation of the noise variance of EMG based on the Gaussian mixture model (GMM) is used, and the minimum Gaussian coefficient is used as the estimate of the noise variance.(3)pyθ=∑m=1kampyθm.The preprocessed sEMG cannot be directly sent to the pattern classifier for action classification, and the useful information in the sEMG that can represent different action categories, i.e., features, must be extracted, and then a variety of different features are used to form a feature vector. Classical feature extraction is based on the characteristics of the data using some method to represent a pile of data with some value, which can be regarded as a transformation of the data from high to low dimensions to some extent and has a certain effect on dimensionality reduction, which helps to carry out the pattern recognition smoothly later. As an integral part of the pattern recognition process, feature extraction plays a crucial role in the effectiveness of recognition. Each gesture has its unique features, and the features that can reflect the general similarity of the same gesture and the difference between different gestures are called good features. SEMG feature extraction is to extract the good features from the surface EMG signal, and the good features extracted will directly affect the final gesture recognition result.(4)MAV=1N∑i=1Nxi,(5)VAR=1N+1∑i=1Nxi2.Because of the random nature of sEMG, there is instability in the time domain analysis. The nature of muscle tissue activity can be reflected in the frequency domain analysis by first performing a Fourier transform on the signal to obtain the spectral distribution and then analyzing the signal characteristics in the frequency domain. The frequency distribution of the original surface EMG signal after preprocessing is in the range of 20-500 Hz and contains a lot of information about muscle contraction. A total of four frequency domain features were selected for extraction in this paper.(6)PKE=minp1,p2,p3,⋯,pN,(7)∑i=1MDFpi=1N∑i=1Npi.In the field of pattern recognition, the selection and extraction of feature vectors have a crucial impact on the recognition effect of the whole system. The more dimensions of the feature vectors do not guarantee a better final classification effect. On the contrary, too many dimensions of the features may have some features containing only little classification information and duplicate classification information among the features, and the existence of these features will cause the pattern recognition system to work inefficiently or even ineffectively, as shown in Figure2.Figure 2
Relative importance of each feature.English is a special subject compared to other subjects, and students need to broaden their horizons and gain more rich contexts to have a better understanding of humanities and society abroad. Therefore, this requires that students’ learning content not only exist in the classroom but also the students’ vision is particularly important, and teachers need to use some conditions and resources to improve students’ listening and speaking ability and comprehensive quality. Outside the classroom, more extracurricular activities should be organized to provide students with a free environment to learn English, and through continuous practice, students’ interest in learning English can be naturally stimulated. However, the lack of a standard for measuring English listening and speaking ability has led many teachers to be ambiguous about the direction of listening and speaking ability cultivation and cultivation measures, external listening and speaking training does not achieve the purpose of ability enhancement, and there must be a complete, scientific, and reasonable evaluation standard [19]. This evaluation standard should be a process evaluation rather than a summative evaluation standard, which requires teachers to be able to intervene appropriately in the process of students’ learning, to be able to solve the problems that constantly arise in learning, to praise and motivate students’ performance promptly, and to gradually build up students’ sense of achievement to better develop students’ English listening and speaking ability. The cultivation of English subject listening and speaking ability is a long process, break the traditional teaching model, student-oriented, teacher-led way to carry out the combination of internal and external teaching activities, only in this way can make the junior high school students’ English listening and speaking ability be improved.To avoid these undesirable effects, this paper extracts and selects features based on reading a lot of related literature and calculates the relative importance of each feature value by random forest to prove that the selected features play an effective role in the final classification effect. The decision tree algorithm also performs sample partitioning based on the features while classifying, so the information gain-based decision tree algorithm also completes the comparison of the importance of the input set of features. The score of each feature in each decision tree is calculated after the training is completed, and finally, the total score of each feature in the random forest is calculated. The results are normalized so that the sum of the relative importance of the features is equal to 1.(8)Gm=1+∑i=1Npim2.To better promote teaching and learning reform, problems such as failure to synchronize hardware and software construction, emphasis on effects rather than effectiveness, large gaps between theoretical research and practical needs, the imperfect management system in the field of practice, inadequate funding to support educational technology, and copying foreign theories and experiences must be solved as soon as possible. The article concludes by predicting the future development trend of educational technology and argues that comprehensive research on computer education applications should be given top priority and combined with practical and supportive research on educational technology, joint research on the psychology of learning in the technological environment, and the design of learning activities, to further improve the construction of educational technology disciplines. This indicates that computer education application is an important direction for the future development of educational technology, and computer education applications will glow with continuous vitality.


### 3.2. Analysis of the Application of Innovation and Reform in University English Education

After the completion of the training base, the training room is now equipped with 12 sets of wired VR devices and 6 sets of wireless VR devices, which can meet the use and training needs of 36 students at the same time. Through the latest teaching platform, I load the cognitive knowledge and simulation disassembly and assembly training that needs to be operated in the classroom into the platform, so that the teacher can teach the students more quickly, quickly, and efficiently through the online simulation training board. At the same time, students can repeat the simulation training both in class and out of class [20]. I found that more than 80% of the instructors felt that virtual reality (VR) and augmented reality (AR) technology could help students understand the functions of various vehicle parts more intuitively while reducing the rate of damage to parts and injuries during hands-on training. More than 90% of the students said that they are now willing to take practical classes and learn the corresponding theoretical knowledge, compared with the previous teacher’s boring explanation, now can be more intuitive understanding of knowledge. And compared to the previous face of the real equipment, now, students for the virtual hands-on training can be more bold hands-on operation. In the spare time of the class can also be repeated practice, more conducive to the improvement of their skills.By building an AI teaching platform with a 5G transmission network as the carrier, I use edge computing technology to link high-definition webcams to capture the demeanor, expressions, and movements of teachers and students in the classroom in real-time. Using AI artificial intelligence technology, the data is analyzed in the background and pushed to teachers and schools, and parents can also grasp the learning status of students in the classroom if necessary, as shown in Figure3.Figure 3
Network topology diagram.During independent learning, students can realize the ability to follow the system to read out the sentences or for the articles displayed in the system. Afterward, the system scores and the intelligent evaluation results are displayed on the screen in real-time [21]. The intelligent evaluation and real-time correction of students’ pronunciation can help students to make corrections. The teacher sets the words, grammar, sentences, and articles needed for the lesson, and the students select the corresponding Chinese learning materials after entering the system, and the system leads the reading while the students learn and follow. After the learning is completed, the system will automatically generate a learning report. All students’ reports will be summarized and sent to the teacher. The system also helps teachers to analyze and interpret students’ data and help teachers to prepare and teach lessons in a differentiated way.Holographic projection technology is a technology based on the principle of interference to record and display the three-dimensional image of an object, which is one of the 3D technologies. Currently, 3D movies are popular and people need to wear glasses to see the beautiful 3D images when watching 3D movies. But holographic projection technology is more than that; people can see the three-dimensional virtual world without wearing glasses, so holographic projection technology is also called virtual imaging technology. Its working principle is divided into two steps: the first step is based on the interference principle to record the light wave information of the object, i.e., to photograph the object; the second step is based on the diffraction principle to reproduce the light wave information of the object, i.e., to image and show the three-dimensional image of the object.Speaking up in class is a psychological barrier for many students. They are afraid to speak up, afraid of making mistakes, and sometimes have some anxiety. When teachers design the classroom, they try to motivate students as much as possible, enliven the classroom atmosphere, stimulate students’ interest in learning, and make them willing to speak up on their initiative [22]. This not only increases the fun of learning but also allows students to understand the linguistic context of idioms.The classes are divided into beginner, intermediate, and advanced classes. Teachers develop different teaching methods for different levels of students. For the beginners’ class, I try to use short and easy-to-understand vocabulary to teach and not to expand too much. This ensures that students have a good grasp of the basics. When teaching intermediate and advanced students, the content can be increased to focus on developing students’ oral expression skills. If students are given enough time and space to learn at their own pace, most students will be able to effectively master what they have learned. Oral Chinese teaching should be student-centered and develop students’ Chinese communicative skills as the priority, as shown in Figure4.Figure 4
Correlation of inner elements.With online teaching becoming increasingly common, the transformation of teaching methods is an issue that cannot be ignored. Online teaching is not just a matter of transferring the offline classroom teaching model to online. The flipped classroom is a concept that is often mentioned nowadays. In the classroom, the teacher is student-centered and teaches through the actual needs of the students, with the students as the primary focus and the teacher as the secondary focus. In online teaching, teachers should give more trust to students and shift from the once fill-in-the-blank teaching to assisted teaching. Focus on developing students’ independent learning skills so that they will learn and want to learn. Thus, students can develop good oral learning habits. To further explore what kind of relationship is presented between connotative elements and each influencing factor, the author used the same method to carry out the division of connotative elements and influencing factors after data transformation. Out ah D factors can be divided into internal and external factors of individuals, and I first performed correlation analysis on them separately.


## 3.1. 5G Joint Artificial Intelligence Technology Design

AI technology [15, 16] has always been a technology that has been pursued and studied in-depth in this era, and the birth of 5G communication technology has had a profound impact on AI technology, which has been able to develop rapidly with the support of 5G technology, which is characterized by its ubiquitous network and the Internet of Everything, which can have a profound and positive impact on AI technology. This impact can be seen everywhere around us now, making it possible for us to get the first glimpse of AI technology. The city we live in is constantly being updated because of the rapid development of AI technology, whether it is cars, streetlights, cameras, or utility access hole covers [17]. 5G + AI technology is still very much in practice in the teaching field. Teachers can understand students’ learning psychology and status promptly. The combination of teachers and AI technology can primarily help teachers to make effective classroom designs based on data analysis. It further promotes the implementation of the education idea of teaching according to students’ abilities. We can develop different learning plans for different students, study different teaching strategies, and set up and distribute different teaching contents according to different students’ characteristics as much as possible.Second, AI is also very helpful for teachers to improve their teaching level. In the absence of AI, teachers can only change their teaching strategies by their own teaching experience or the problems reflected by some students. Often, teachers do not know whether students are adapting to their lecture style or whether students have mastered what they are doing to teach. In the traditional form, teachers usually verify the appropriateness of their methods through regular testing, as well as to understand how well students have mastered the knowledge points. The use of artificial intelligence can help teachers adjust their teaching methods, enrich their knowledge base, and understand the students’ acceptance level, making education more humane and personalized. With the rapid development of 5G, teaching, as an important window for Chinese culture dissemination, should be more innovative in education and teaching methods. For example, VR/AR can be incorporated into the classroom to give students an immersive learning experience; through distance learning, explore the teaching mode of dual-teacher classroom and master classroom to balance teaching resources; take advantage of big data analysis to collect learning data and customize personalized teaching programs according to students’ characteristics; give full play to the advantages of sharing network resources and continuously expand the existing teaching materials to realize teaching materials sharing. When our Chinese language teaching workers and teachers of Confucius Institutes teach abroad with new teaching methods, they not only show the world our world-leading technology level but also can effectively improve the quality of Chinese language teaching, as shown in Figure1.Figure 1
5G college English education joint artificial intelligence.Second, online teaching teachers can choose to record or live-stream their lessons. Some teachers upload the video footage of the class to the platform in advance of the class to increase the time for oral practice in the class. Both the video of the class and the teaching material can be saved for a long time so that students can watch it anytime and anywhere. If students do not hear something in class or do not understand it well, they can study it carefully after class [18]. This approach breaks the time and space constraints and helps students to grasp the knowledge points better. Some of the online teaching software nowadays is equipped with an automatic test paper correction function, and the corrected data will be analyzed twice and pushed to the teacher. The teacher can test the students’ learning results in the classroom and produce the results in the classroom, which can help students to focus on the class. It not only ensures teaching effectiveness but also improves teachers’ teaching efficiency. According to the system’s data analysis, teachers can personalize after-class assignments and conduct targeted teaching. Nowadays, some online teaching software has the function of automatic correction of test papers, and the corrected data will be analyzed twice and pushed to teachers. Teachers can test students’ learning results in the classroom and produce grades in the classroom, which can help students focus on their lessons. It not only ensures teaching effectiveness but also improves teachers’ teaching efficiency. Based on the system’s data analysis, teachers can personalize after-class assignments and conduct targeted teaching.The Butterworth filter is suitable for use as a bandpass filter because it has a smooth frequency response curve in the passband, and the system function is chosen as the Butterworth function, whose amplitude squared function is expressed in the following equation.(1)Hjw2=11−ε2jΩ/jΩc2N,(2)N≤lnλs.The classical wavelet denoising method also has the disadvantage that a better denoising effect can be obtained by estimating the noise variance for noisy signals, but this is not the case when the noise is small. Because the background noise in sEMG is generally considered to satisfy the Gaussian model. Therefore, in this paper, the estimation of the noise variance of EMG based on the Gaussian mixture model (GMM) is used, and the minimum Gaussian coefficient is used as the estimate of the noise variance.(3)pyθ=∑m=1kampyθm.The preprocessed sEMG cannot be directly sent to the pattern classifier for action classification, and the useful information in the sEMG that can represent different action categories, i.e., features, must be extracted, and then a variety of different features are used to form a feature vector. Classical feature extraction is based on the characteristics of the data using some method to represent a pile of data with some value, which can be regarded as a transformation of the data from high to low dimensions to some extent and has a certain effect on dimensionality reduction, which helps to carry out the pattern recognition smoothly later. As an integral part of the pattern recognition process, feature extraction plays a crucial role in the effectiveness of recognition. Each gesture has its unique features, and the features that can reflect the general similarity of the same gesture and the difference between different gestures are called good features. SEMG feature extraction is to extract the good features from the surface EMG signal, and the good features extracted will directly affect the final gesture recognition result.(4)MAV=1N∑i=1Nxi,(5)VAR=1N+1∑i=1Nxi2.Because of the random nature of sEMG, there is instability in the time domain analysis. The nature of muscle tissue activity can be reflected in the frequency domain analysis by first performing a Fourier transform on the signal to obtain the spectral distribution and then analyzing the signal characteristics in the frequency domain. The frequency distribution of the original surface EMG signal after preprocessing is in the range of 20-500 Hz and contains a lot of information about muscle contraction. A total of four frequency domain features were selected for extraction in this paper.(6)PKE=minp1,p2,p3,⋯,pN,(7)∑i=1MDFpi=1N∑i=1Npi.In the field of pattern recognition, the selection and extraction of feature vectors have a crucial impact on the recognition effect of the whole system. The more dimensions of the feature vectors do not guarantee a better final classification effect. On the contrary, too many dimensions of the features may have some features containing only little classification information and duplicate classification information among the features, and the existence of these features will cause the pattern recognition system to work inefficiently or even ineffectively, as shown in Figure2.Figure 2
Relative importance of each feature.English is a special subject compared to other subjects, and students need to broaden their horizons and gain more rich contexts to have a better understanding of humanities and society abroad. Therefore, this requires that students’ learning content not only exist in the classroom but also the students’ vision is particularly important, and teachers need to use some conditions and resources to improve students’ listening and speaking ability and comprehensive quality. Outside the classroom, more extracurricular activities should be organized to provide students with a free environment to learn English, and through continuous practice, students’ interest in learning English can be naturally stimulated. However, the lack of a standard for measuring English listening and speaking ability has led many teachers to be ambiguous about the direction of listening and speaking ability cultivation and cultivation measures, external listening and speaking training does not achieve the purpose of ability enhancement, and there must be a complete, scientific, and reasonable evaluation standard [19]. This evaluation standard should be a process evaluation rather than a summative evaluation standard, which requires teachers to be able to intervene appropriately in the process of students’ learning, to be able to solve the problems that constantly arise in learning, to praise and motivate students’ performance promptly, and to gradually build up students’ sense of achievement to better develop students’ English listening and speaking ability. The cultivation of English subject listening and speaking ability is a long process, break the traditional teaching model, student-oriented, teacher-led way to carry out the combination of internal and external teaching activities, only in this way can make the junior high school students’ English listening and speaking ability be improved.To avoid these undesirable effects, this paper extracts and selects features based on reading a lot of related literature and calculates the relative importance of each feature value by random forest to prove that the selected features play an effective role in the final classification effect. The decision tree algorithm also performs sample partitioning based on the features while classifying, so the information gain-based decision tree algorithm also completes the comparison of the importance of the input set of features. The score of each feature in each decision tree is calculated after the training is completed, and finally, the total score of each feature in the random forest is calculated. The results are normalized so that the sum of the relative importance of the features is equal to 1.(8)Gm=1+∑i=1Npim2.To better promote teaching and learning reform, problems such as failure to synchronize hardware and software construction, emphasis on effects rather than effectiveness, large gaps between theoretical research and practical needs, the imperfect management system in the field of practice, inadequate funding to support educational technology, and copying foreign theories and experiences must be solved as soon as possible. The article concludes by predicting the future development trend of educational technology and argues that comprehensive research on computer education applications should be given top priority and combined with practical and supportive research on educational technology, joint research on the psychology of learning in the technological environment, and the design of learning activities, to further improve the construction of educational technology disciplines. This indicates that computer education application is an important direction for the future development of educational technology, and computer education applications will glow with continuous vitality.


## 3.2. Analysis of the Application of Innovation and Reform in University English Education

After the completion of the training base, the training room is now equipped with 12 sets of wired VR devices and 6 sets of wireless VR devices, which can meet the use and training needs of 36 students at the same time. Through the latest teaching platform, I load the cognitive knowledge and simulation disassembly and assembly training that needs to be operated in the classroom into the platform, so that the teacher can teach the students more quickly, quickly, and efficiently through the online simulation training board. At the same time, students can repeat the simulation training both in class and out of class [20]. I found that more than 80% of the instructors felt that virtual reality (VR) and augmented reality (AR) technology could help students understand the functions of various vehicle parts more intuitively while reducing the rate of damage to parts and injuries during hands-on training. More than 90% of the students said that they are now willing to take practical classes and learn the corresponding theoretical knowledge, compared with the previous teacher’s boring explanation, now can be more intuitive understanding of knowledge. And compared to the previous face of the real equipment, now, students for the virtual hands-on training can be more bold hands-on operation. In the spare time of the class can also be repeated practice, more conducive to the improvement of their skills.By building an AI teaching platform with a 5G transmission network as the carrier, I use edge computing technology to link high-definition webcams to capture the demeanor, expressions, and movements of teachers and students in the classroom in real-time. Using AI artificial intelligence technology, the data is analyzed in the background and pushed to teachers and schools, and parents can also grasp the learning status of students in the classroom if necessary, as shown in Figure3.Figure 3
Network topology diagram.During independent learning, students can realize the ability to follow the system to read out the sentences or for the articles displayed in the system. Afterward, the system scores and the intelligent evaluation results are displayed on the screen in real-time [21]. The intelligent evaluation and real-time correction of students’ pronunciation can help students to make corrections. The teacher sets the words, grammar, sentences, and articles needed for the lesson, and the students select the corresponding Chinese learning materials after entering the system, and the system leads the reading while the students learn and follow. After the learning is completed, the system will automatically generate a learning report. All students’ reports will be summarized and sent to the teacher. The system also helps teachers to analyze and interpret students’ data and help teachers to prepare and teach lessons in a differentiated way.Holographic projection technology is a technology based on the principle of interference to record and display the three-dimensional image of an object, which is one of the 3D technologies. Currently, 3D movies are popular and people need to wear glasses to see the beautiful 3D images when watching 3D movies. But holographic projection technology is more than that; people can see the three-dimensional virtual world without wearing glasses, so holographic projection technology is also called virtual imaging technology. Its working principle is divided into two steps: the first step is based on the interference principle to record the light wave information of the object, i.e., to photograph the object; the second step is based on the diffraction principle to reproduce the light wave information of the object, i.e., to image and show the three-dimensional image of the object.Speaking up in class is a psychological barrier for many students. They are afraid to speak up, afraid of making mistakes, and sometimes have some anxiety. When teachers design the classroom, they try to motivate students as much as possible, enliven the classroom atmosphere, stimulate students’ interest in learning, and make them willing to speak up on their initiative [22]. This not only increases the fun of learning but also allows students to understand the linguistic context of idioms.The classes are divided into beginner, intermediate, and advanced classes. Teachers develop different teaching methods for different levels of students. For the beginners’ class, I try to use short and easy-to-understand vocabulary to teach and not to expand too much. This ensures that students have a good grasp of the basics. When teaching intermediate and advanced students, the content can be increased to focus on developing students’ oral expression skills. If students are given enough time and space to learn at their own pace, most students will be able to effectively master what they have learned. Oral Chinese teaching should be student-centered and develop students’ Chinese communicative skills as the priority, as shown in Figure4.Figure 4
Correlation of inner elements.With online teaching becoming increasingly common, the transformation of teaching methods is an issue that cannot be ignored. Online teaching is not just a matter of transferring the offline classroom teaching model to online. The flipped classroom is a concept that is often mentioned nowadays. In the classroom, the teacher is student-centered and teaches through the actual needs of the students, with the students as the primary focus and the teacher as the secondary focus. In online teaching, teachers should give more trust to students and shift from the once fill-in-the-blank teaching to assisted teaching. Focus on developing students’ independent learning skills so that they will learn and want to learn. Thus, students can develop good oral learning habits. To further explore what kind of relationship is presented between connotative elements and each influencing factor, the author used the same method to carry out the division of connotative elements and influencing factors after data transformation. Out ah D factors can be divided into internal and external factors of individuals, and I first performed correlation analysis on them separately.


## 4. Analysis of Results

### 4.1. 5G Joint AI Algorithm Performance Results

Different classifiers have their characteristics and apply to different features. To compare and select the most suitable classifier, this paper combinesK-fold cross-validation to input the EMG feature values of the six gestures of the experimenter into each of the four classifiers introduced above and selects the classifier with better performance by comparing the correct rate of gesture recognition. The gestures recognized in this paper are six common gestures, and the sample size of each gesture for each experimenter is 500. Combined with fold-cross validation, the feature values of each gesture action are divided into five parts, one of the feature values is taken as the test set each time, the remaining four feature values are taken as the training set, and a total of five training classifications are performed. The correct rate of classification recognition is calculated based on the correctrate=numberofcorrectlyrecognizedsamples/totalnumberoftestedsamples. The statistics of gesture classification recognition results for experimenter 5 are shown in Figure 5.Figure 5
Algorithm performance comparison.The keywords that appeared more frequently were artificial intelligence, expert systems, distance education, machine learning, multimedia, knowledge engineering, computer-assisted instruction, and meaningful learning. It indicates that the applications of artificial intelligence in education include expert systems, machine learning, distance education, multimedia, and computer-assisted instruction. The development of artificial intelligence has provided new tools for educational research, along with a series of technologies such as speech recognition, pose recognition, expression recognition, and EEG recognition. To better analyze the learning process and the timing of educational interventions in-depth, a large amount of data analysis is necessary, and the use of visualization techniques in AI to describe knowledge resources and their carriers, to mine, analyze, construct, map, and display knowledge and their interconnections is a very convenient way to do so. The maturity of these technologies has allowed AI to greatly increase the multidimensional experience of learning, thus, allowing learning to move toward deep learning supported by technology.The successful research and development of intelligent teaching expert systems and intelligent teaching aid systems have injected new vitality into the development of artificial intelligence, and both have broad application prospects. With the development and application of neural network [28-29] and fuzzy technology [30] and the maturity of intelligent teaching expert system technology, people gradually realize that artificial intelligence applied to teaching is the need of education development. From this initially published article, we can learn that AI has great potential in the field of education, as intelligent teaching expert systems and intelligent teaching aid systems in expert systems, machine learning, and distance learning have gained rapid development in today’s world, and they will continue to take advantage of the technology to build more realistic scenarios and experiences, allowing learners to better enter the situation and creatively problem solving, as shown in Figure6.Figure 6
Analysis of the content needs of spoken English courses.The design of the NMA English speaking course objectives focuses on the specific design of specific colleges and universities, considering the current situation of international, local, and host universities. The design process should clarify the teaching objectives of teachers, the learning objectives of students, and the objectives of the course environment in the course. The course should give full play to the advantages of the university where it is located, the advantages of the location, and combine it with the needs of the students’ course objectives. The NMA Oral English course that combines the specificity of the institution should be designed with specific course objectives for the needs of all levels. The content design of spoken English courses should focus on a combination of online resources, textbooks, and linguistic scholarship and should strive to provide the most appropriate learning materials in situations where learners have the greatest need or are most receptive to knowledge.


### 4.2. The Effect of Innovation and Reform Application in University English Education

When the carrier of AI makes human subjectivity lose the balance between virtual and reality, the phenomenon of weakening human subjectivity gradually emerges from it. In the AI technology ecological environment, due to the unique openness and sharing of intelligent technology and intelligent environment, some information, speech, and interaction of people are supervised from all sides, but what needs attention is that even if they are supervised, people are more likely to make some bold, nonreal, uncritical, and spontaneous speech and ideas in the virtual world, which leads to the virtual self. The virtual self is cut off from the real self, making people living in the real world one-sided. People’s emotional cognitive power is weakened, and people themselves are not able to reflect the objectivity of objective things dynamically, instead, people as subjects are also in a passive state. In such an environment, the slippery slope of human ethics as a subject will further lead to the weakening of human subjectivity. Artificial intelligence is the object of activity of human intelligent subjects for practical activities, and human influences restrict and change the object to make the object fit with the needs of the subject. The desubjectification of artificial intelligence is the subjectification of the object of artificial intelligence, and the desubjectification of artificial intelligence as an object is the counteraction of the human intelligent subject to control and transform the objective world caused by the practical activities that endanger the subject itself.Continuously explore a new school governance model, encourage educational institutions to apply AI technology to carry out innovative changes in organizational structure and management system, establish a more efficient and low-cost operation mechanism, and promote campus management that is refined, personalized, and intelligent, so that school governance can reach a new level. Guide online open learning platforms to establish a learner-centered development concept, cultivate users’ lifelong learning habits, provide users with rich and perfect personalized learning resources, strengthen the supply capacity of education services, and cultivate more outstanding talents, as shown in Figure7.Figure 7
Paired sample test.From the data in Figure7, it can be concluded that in pair 1, the analysis of the data derived from the pretest and posttest of students’ language perception ability can be seen, where t=−3.046, significance value F=0.004<0.05, it indicates that there is a significant difference in the experiment, indicating that there is a significant change in the language perception ability of the students in the experimental class before and after the experiment; in pair 2, the analysis of the data is derived from the pretest and posttest of students’ language comprehension ability. The analysis of the data derived from the pretest and posttest of students’ language comprehension ability shows that where t=−3.010 and the significance value F=0.004<0.05, which means that there is a significant difference in the experiment, indicating that there is a significant change in the language comprehension ability of the students in the experimental class before and after the experiment; in pair 3, the analysis of the data derived from the pretest and posttest of students’ language evaluation ability shows that where t=−1.011 and the significance value F=0.325>0.05, which means that there is no significant difference in the experiment, indicating that there is no significant difference in the language evaluation ability of the students in the experimental class before and after the experiment, although it has been improved.To better analyze the change of students’ interest in English listening and speaking, the options of the questions related to listening and speaking interest in the students’ questionnaire were analyzed, as shown in Figure8, the number of people who chose “very much in line” increased from 19.86% to 24.85% of the total number of students, with an increase of 5.01%, the number of people who chose “ The number of people who chose” conform “increased from 30.16% to 38.07% of the total number of people, with an increase of 7.91%, and the number of people who chose” very much not conform decreased from 5.34% to 3.86% of the total number of people, with a decrease of 1.49%. This shows that students’ interest in English listening and speaking is gradually increasing during the experimental teaching process, and it also reflects that students’ English listening and speaking habits are also gradually changing.Figure 8
Changes in students’ interest in listening and speaking English.There was an impact on students’ performance when the English listening and speaking skill development strategy based on the intelligent speech system was carried out in the experimental class, the English performance of students in the experimental class improved, and there was a significant difference compared to the control class. The students’ English listening and speaking skills improved in the experimental class. This shows that the strategy of developing the English listening and speaking ability of junior high school students based on an intelligent speech system is effective. Pay attention to the artistry of method and language in class organization. Teachers should be the organizers, guides, and facilitators of teaching activities. In the era of artificial intelligence, students will gradually transform from passive receivers of knowledge to explorers, discoverers, and collaborators. With the changes in the learning environment, students must have the awareness of being in an intelligent age and the learning philosophy that conforms to this age and actively cultivate the literacy and interest in using artificial intelligence technology.


## 4.1. 5G Joint AI Algorithm Performance Results

Different classifiers have their characteristics and apply to different features. To compare and select the most suitable classifier, this paper combinesK-fold cross-validation to input the EMG feature values of the six gestures of the experimenter into each of the four classifiers introduced above and selects the classifier with better performance by comparing the correct rate of gesture recognition. The gestures recognized in this paper are six common gestures, and the sample size of each gesture for each experimenter is 500. Combined with fold-cross validation, the feature values of each gesture action are divided into five parts, one of the feature values is taken as the test set each time, the remaining four feature values are taken as the training set, and a total of five training classifications are performed. The correct rate of classification recognition is calculated based on the correctrate=numberofcorrectlyrecognizedsamples/totalnumberoftestedsamples. The statistics of gesture classification recognition results for experimenter 5 are shown in Figure 5.Figure 5
Algorithm performance comparison.The keywords that appeared more frequently were artificial intelligence, expert systems, distance education, machine learning, multimedia, knowledge engineering, computer-assisted instruction, and meaningful learning. It indicates that the applications of artificial intelligence in education include expert systems, machine learning, distance education, multimedia, and computer-assisted instruction. The development of artificial intelligence has provided new tools for educational research, along with a series of technologies such as speech recognition, pose recognition, expression recognition, and EEG recognition. To better analyze the learning process and the timing of educational interventions in-depth, a large amount of data analysis is necessary, and the use of visualization techniques in AI to describe knowledge resources and their carriers, to mine, analyze, construct, map, and display knowledge and their interconnections is a very convenient way to do so. The maturity of these technologies has allowed AI to greatly increase the multidimensional experience of learning, thus, allowing learning to move toward deep learning supported by technology.The successful research and development of intelligent teaching expert systems and intelligent teaching aid systems have injected new vitality into the development of artificial intelligence, and both have broad application prospects. With the development and application of neural network [28-29] and fuzzy technology [30] and the maturity of intelligent teaching expert system technology, people gradually realize that artificial intelligence applied to teaching is the need of education development. From this initially published article, we can learn that AI has great potential in the field of education, as intelligent teaching expert systems and intelligent teaching aid systems in expert systems, machine learning, and distance learning have gained rapid development in today’s world, and they will continue to take advantage of the technology to build more realistic scenarios and experiences, allowing learners to better enter the situation and creatively problem solving, as shown in Figure6.Figure 6
Analysis of the content needs of spoken English courses.The design of the NMA English speaking course objectives focuses on the specific design of specific colleges and universities, considering the current situation of international, local, and host universities. The design process should clarify the teaching objectives of teachers, the learning objectives of students, and the objectives of the course environment in the course. The course should give full play to the advantages of the university where it is located, the advantages of the location, and combine it with the needs of the students’ course objectives. The NMA Oral English course that combines the specificity of the institution should be designed with specific course objectives for the needs of all levels. The content design of spoken English courses should focus on a combination of online resources, textbooks, and linguistic scholarship and should strive to provide the most appropriate learning materials in situations where learners have the greatest need or are most receptive to knowledge.


## 4.2. The Effect of Innovation and Reform Application in University English Education

When the carrier of AI makes human subjectivity lose the balance between virtual and reality, the phenomenon of weakening human subjectivity gradually emerges from it. In the AI technology ecological environment, due to the unique openness and sharing of intelligent technology and intelligent environment, some information, speech, and interaction of people are supervised from all sides, but what needs attention is that even if they are supervised, people are more likely to make some bold, nonreal, uncritical, and spontaneous speech and ideas in the virtual world, which leads to the virtual self. The virtual self is cut off from the real self, making people living in the real world one-sided. People’s emotional cognitive power is weakened, and people themselves are not able to reflect the objectivity of objective things dynamically, instead, people as subjects are also in a passive state. In such an environment, the slippery slope of human ethics as a subject will further lead to the weakening of human subjectivity. Artificial intelligence is the object of activity of human intelligent subjects for practical activities, and human influences restrict and change the object to make the object fit with the needs of the subject. The desubjectification of artificial intelligence is the subjectification of the object of artificial intelligence, and the desubjectification of artificial intelligence as an object is the counteraction of the human intelligent subject to control and transform the objective world caused by the practical activities that endanger the subject itself.Continuously explore a new school governance model, encourage educational institutions to apply AI technology to carry out innovative changes in organizational structure and management system, establish a more efficient and low-cost operation mechanism, and promote campus management that is refined, personalized, and intelligent, so that school governance can reach a new level. Guide online open learning platforms to establish a learner-centered development concept, cultivate users’ lifelong learning habits, provide users with rich and perfect personalized learning resources, strengthen the supply capacity of education services, and cultivate more outstanding talents, as shown in Figure7.Figure 7
Paired sample test.From the data in Figure7, it can be concluded that in pair 1, the analysis of the data derived from the pretest and posttest of students’ language perception ability can be seen, where t=−3.046, significance value F=0.004<0.05, it indicates that there is a significant difference in the experiment, indicating that there is a significant change in the language perception ability of the students in the experimental class before and after the experiment; in pair 2, the analysis of the data is derived from the pretest and posttest of students’ language comprehension ability. The analysis of the data derived from the pretest and posttest of students’ language comprehension ability shows that where t=−3.010 and the significance value F=0.004<0.05, which means that there is a significant difference in the experiment, indicating that there is a significant change in the language comprehension ability of the students in the experimental class before and after the experiment; in pair 3, the analysis of the data derived from the pretest and posttest of students’ language evaluation ability shows that where t=−1.011 and the significance value F=0.325>0.05, which means that there is no significant difference in the experiment, indicating that there is no significant difference in the language evaluation ability of the students in the experimental class before and after the experiment, although it has been improved.To better analyze the change of students’ interest in English listening and speaking, the options of the questions related to listening and speaking interest in the students’ questionnaire were analyzed, as shown in Figure8, the number of people who chose “very much in line” increased from 19.86% to 24.85% of the total number of students, with an increase of 5.01%, the number of people who chose “ The number of people who chose” conform “increased from 30.16% to 38.07% of the total number of people, with an increase of 7.91%, and the number of people who chose” very much not conform decreased from 5.34% to 3.86% of the total number of people, with a decrease of 1.49%. This shows that students’ interest in English listening and speaking is gradually increasing during the experimental teaching process, and it also reflects that students’ English listening and speaking habits are also gradually changing.Figure 8
Changes in students’ interest in listening and speaking English.There was an impact on students’ performance when the English listening and speaking skill development strategy based on the intelligent speech system was carried out in the experimental class, the English performance of students in the experimental class improved, and there was a significant difference compared to the control class. The students’ English listening and speaking skills improved in the experimental class. This shows that the strategy of developing the English listening and speaking ability of junior high school students based on an intelligent speech system is effective. Pay attention to the artistry of method and language in class organization. Teachers should be the organizers, guides, and facilitators of teaching activities. In the era of artificial intelligence, students will gradually transform from passive receivers of knowledge to explorers, discoverers, and collaborators. With the changes in the learning environment, students must have the awareness of being in an intelligent age and the learning philosophy that conforms to this age and actively cultivate the literacy and interest in using artificial intelligence technology.


## 5. Conclusion

The advent of the era of artificial intelligence has triggered the work revolution, which inevitably leads to the education revolution. To actively respond to the work revolution and occupy the active posture, the education revolution must be the first to start. The development and existence of human beings are not established and complete, but they are constantly striving for a free and perfect personality in the process of practice, and their subjectivity is constantly established and consolidated in the process of practice. The “Miseducation” system is a tool used in the field of education, and its original purpose of creation and development is to bring a better educational environment for human beings and to enable them to develop themselves comprehensively. The development and existence of human beings are not given and complete, but in the process of practice, they are constantly striving for a free and perfect personality, and in the process of practice, their subjectivity is constantly established and consolidated. The “Miseducation” system is a tool used in the field of education, and its original purpose of creation and development is to bring a better educational environment to human beings and enable them to develop comprehensively. I believe that the application in the context of 5G can bring a very good innovation for online oral teaching. It can not only greatly improve the teaching efficiency of teachers but also maximize the interest of students in learning. Therefore, this paper researches and discusses the online speaking teaching mode in the context of 5G, hoping to provide some new ideas and methods for teaching. The future is the era of collaboration between humans and intelligent machines. The application of artificial intelligence technology in English teaching will lead English teaching from closed to open and English learning from passive to active, which will completely change the time and space scenarios and supply levels of English education, making personalized and diversified education possible, and building A flexible, open, and lifelong personalized education ecosystem.



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*Source: 4892064-2021-09-23.xml*